Samuel Scarpino bio photo

Samuel Scarpino

Assistant Professor in the Network Science Institute at Northeastern University.

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I am an Assistant Professor in the Network Science Institute at Northeastern University, with appointments in Marine & Environmental Sciences, Physics, and Health Sciences, and an External Faculty member at the Santa Fe Institute. My research spans a broad range of topics in complex systems and network science, including: infectious disease dynamics, forecasting and predictive modeling, complex network analysis, disease genomics and transcriptomics, outbreak surveillance, social networks, gene network evolution, and decision making under uncertainty. Our group, the Emergent Epidemics Lab, approaches these topics by investigating questions using mathematical and computational methods from biology, statistics, physics, applied mathematics, and computer science.

Through collaboration with laboratory, field, and public health researchers, the mathematical and computational models we develop are interrogated with novel experiments, evaluated on new data sources, and applied to public health and clincal problems. Our surveillance research, for example, is done in close association with state, national, and international public health agencies and has led to substantive changes in surveillance practices. I believe this type of collaboration between scientists and public health decision makers is critical for efficient, effective outbreak preparedness and response.

Beyond disease, the group's research has focused on a variety of topics, including animal movement and group dynamics; traffic routing; the effects of environmental toxins on behavior and neural biology; and models of spatiotemporal variation in tree density and fruiting phenology. If you’re interested in working with us, please contact me via email. For more detailed information, please see full-text versions of our articles and my current curriculum vitae. Lastly, for those interested in Big Data, read my philosophy here.

Academic Affiliations

Network Science Institute, Northeastern University

Department of Marine and Environmental Sciences, Northeastern University

Department of Physics, Northeastern University

Department of Health Sciences, Northeastern University

External Faculty, Santa Fe Institute

Fellow, ISI Foundation, Turin Italy


09/15/20: "Pinto’s and Scarpino’s long term goal is to apply these same wastewater sample methods to more vulnerable populations such as refugee camps and informal settlements." Read about our new work on machine learning and wastewater surveillance for COVID-19 in this News @ Northeastern article.

09/15/20: "Public health initiatives work best when there’s sufficient education, buy-in from participants, and access to resources that make following the rules possible, said Samuel Scarpino, an epidemiologist at Northeastern University." Read my latest interview with the Boston Globe on how schools should be approaching partying during COVID-19.

09/14/20: I joined Boston News 25 to discuss what it means when, "Experts warn it might take up to four years to supply COVID-19 vaccine globally."

09/13/20: Northeastern University is a founding member of the Trinity Challenge which is, "a coalition of members united by the common aim of using data and advanced analytics to develop insights and actions to contribute to a world better protected from health emergencies." I am a member of the Challenge's Data and IT working group and you can read more about our efforts in this article from News @ Northeastern.

09/07/20: "As we saw in the recent super-spreading event in Maine, when you have lots of individuals travel to the same place, COVID can end up gaining a foothold across a wide geographic area as a result." Read my interview with the Boston Globe on how the "Sturgis biker rally fallout may have costly health consequences."

08/26/20: I joined KNPR Nevada Public Radio to discuss the danger of super-spreading events on the Las Vegas strip.

08/26/20: "We cannot prevent the next #COVID from finding its way into a public market. We can prevent future 'COVIDs' from going pandemic. And that's where the data come in." Listen to Michael Roytman, Daniel Mellinger, and me talk security & epi on Kenna Security's podcast.

08/25/20: Our new pre-print on mask wearing and control of SARS-CoV-2 transmission in the United States is live on the medRxiv.

08/23/20: Wired magazine wrote a feature on our recent work studying the socioeconomic biases present in influenza surveillance data in the US. You can read the original paper here.

08/23/20: Our new pre-print on the unintended consequences of inconsistent pandemic control policies is live on the medRxiv.

08/23/20: I spoke with the Las Vegas Review-Journal about the importance of data for preventing super-spreading events during COVID-19 outbreaks.

08/16/20: "This disconnect between the small but rapidly growing science around outbreak forecasting and its now widespread application creates a complex situation for researchers, clinicians, and policy makers. As a result, we echo calls for disease-forecasting centres at the national level that provide not only predictive models but also expert guidance to policy makers and the public around the interpretation of the models." Read our new commentary in The Lancet Digital Health on the role of predictive modelling during the COVID-19 pandemic.

08/08/20: Slow COVID-19 tests are severely hampering our ability to control the epidemic in the United States. You can read my interview about how this critical issue effects local communities around Boston here.

08/04/20: I was appointed as an External Faculty member at the Santa Fe Institute. I am honored and excited to formally rejoin the SFI and support their research, educational, and outreach missions.

08/04/20: I was interviewed by Bloomberg News, NBC Boston, CBS Boston, WGBH, WEEI, others and about the urgent need increase measures against COVID-19 in MA.

08/03/20: Our call to increase measures against COVID-19 in MA made the front page of the Boston Globe and was highlighted by Rachel Maddow on MSNBC!

07/27/20: Scientists still don't have all the answers about the COVD-19 pandemic, and that's ok. Read my interview with Northeastern News on how the public is getting a front-row seat to the scientific method here.

07/23/20: What does the strong, partisan divide over COVID-19 mean for the US? You can read my interview with 538 News here.

07/22/20: Honored to be featured alongside one of my PhD advisors, Prof. Lauren Ancel Meyers, in the Santa Fe Institute's coverage of our COVID-19 work. You can read the piece here.

07/21/20: I was interviewed by Northeastern News about what it means for the White House to strip the CDC of control over COVID-19 hospitalization data. You can read the piece here.

07/16/20: We have to ensure COVID-19 test results are available within 48 hours. I was interviewed by NBC10 Boston on the critical need to provide rapid test results.

07/10/20: Ensuring that these individuals are represented in health data is a way to give them a voice, Scarpino says. Read the excellent coverage of our new paper on socioeconomic biases in influenza surveillance by Northeastern News here.

07/09/20: We’re Not Prepared to Track Disease Outbreaks in America’s Poorest ZIP Codes writes Linda Poon in her Bloomberg CityLab coverage of our new article on socioeconomic biases in influenza surveillance. You can read the story here.

07/09/20: Our new paper on socioeconomic biases in influenza surveillance is now online at PLoS Computational Biology.

07/04/20: I spoke with Dasia Moore at the Boston Globe on the importance of caution as we continue re-opening Massachusetts. You can read her piece here.

06/26/20: On reopening schools, scientists say proceed with caution. Read my new interview in the Boston Globe on the risks of re-opening schools in the US.

06/25/20: I was on WGBH's Greater Boston last night to discuss the importance of face masks in stopping the spread of COVID-19. You can watch the segment here.

06/23/20: Steven Johnson, author of The Ghost Map, had me on his podcast, Fighting Coronavirus. You can listen to the episode here.

06/23/20: "Preventing superspreader events could go a long way toward stopping COVID-19." I was interviewed by Christie Aschwanden for her latest piece in Scientific American on how, "How ‘Superspreading’ Events Drive Most COVID-19 Spread."

06/23/20: How can scientists be better communicators during emergencies like COVID-19? I discussed this question and more with Northeastern College of Science Associate Dean Mark Patterson during a Facebook Live event. You can watch the recording here.

06/18/20: Chia-Hung Yang and I just posted a pre-print describing his dissertation research on how gene network evolution can drive rapid speciation. You can find the manuscript on the bioRxiv.

06/10/20: I was interviewed by Steven Johnson, author of The Ghost Map, about how "How Data Became One of the Most Powerful Tools to Fight an Epidemic." You can read the essay in the New York Times Magazine.

05/28/20: "For many of us, there really is no comparison. You'd have to go back to the Vietnam War, which started 20 years before I was born." I was interviewed by ABC News about the mounting toll of COVID-19.

05/27/20: "Everything is sort of lining up in the direction that if we’re serious about it, we can control this thing,"" says Samuel Scarpino. "We’re just not being serious about it." Nature quoting me in the daily news briefing from a story that ran in Stat News on how "New research rewrites history of when Covid-19 took off in the U.S. — and points to missed chances to stop it".

05/26/20: I spoke with Adam Reilly at WGBH about what worked and what didn't work in our response to the first COVID-19 wave.

05/25/20: Does it matter whether an individual's risk of getting infected and risk of transmitting the infection are correlated? It turns out to matter a lot, especially for herd immunity and contact tracing. Learn more in our new pre-print, which is up now on the arXiv.

05/22/20: Working with a group of scientists at the Institute for Disease Modeling, we're investigating how random chance and transmission heterogeneity shape COVID-19 epidemics. See our pre-print here.

05/14/20: I spoke with VICE News Tonight about the work we're doing at Northeastern's Network Science Institute to study mobility and COVID-19.

05/11/20: Together with a large team in the Network Science Institute at Northeastern, we released a COVID-19 mobility dashboard and a new report on how social contacts and commuting patterns have changed in the US.

05/08/20: In collaboration with Prof. Brandon Ogbunu's group at Brown, we're studying how environmental transmission of SARS-CoV-2 effects the severity of COVID-19 outbreaks. See our pre-print here.

05/06/20: Munik and I just published a Viewpoint on Modelling COVID-19 in Nature Reviews Physics.

05/06/20: Trying to make sense of the Wild West that is current COVID-19 testing? Check out my recent interview in National Geographic.

05/06/20: Truly honored to be interviewed alongside Lauren Ancel Meyers and Sara Dell Valle in this new Santa Fe Reporter feature on the power of data to fight COVID-19.

05/06/20: Our critique of a recent SARS-CoV-2 genome study is online early at PNAS.

05/04/20: How should we be preparing for restaurants and bars to re-open for eat-in dining? Hear my perspective on NBC 5 Chicago.

05/03/20: The state of Massachusetts just crossed above 4,000 confirmed COVID-19 deaths, making this disease the third leading cause of mortality in the state. I spoke with the Boston Globe on what this means historically.

04/28/20: Check out my far ranging interview on COVID-19 recorded by WFHB, Bloomington IN for their Interchange podcast.

04/27/20: In collaboration with Dan Bolnick (UCONN), Rebecca Carrier (Northeastern), Kathryn Milligan Myhre (University of Alaska Fairbanks), and Natalie Steinel (UMASS Lowell), we were awarded a Gordon and Betty Moore Foundation Symbiosis Model Systems award to study the multi-omics of diet in sticklebacks.

04/24/20: "Herd immunity isn’t the answer." Great article on our recent #covid19 research, with a link to my new webinar by Northeastern News.

04/23/20: I'm excited to present on our COVID19 work during the Understanding and Exploring Network Epidemiology in the Time of Coronavirus workshop. You can register to attend here.

04/20/20: We have a new pre-print up on Crowding and the epidemic intensity of COVID-19 transmission. Munik Shrestha from our group is a co-author! You can read the pre-print here.

04/17/20: I was back on NBC Boston to discuss the newest COVID19 projections for MA.

04/16/20: Moritz Kraemer and I are participating in a Reddit AMA at 1pm Pacific today hosted by The Authoritative Source. Join us here.

04/15/20: Why are serosurveillance studies for COVID-19 so vital? Read Nadia Drake's great article in National Geographic.

04/14/20: Why is asking when we will reopen the wrong question? Read Ed Yong's incredible piece in the Atlantic feature leaders from across public health and epidemiology.

04/14/20: I was interviewed by CBS Boston about the timeline for starting to relax physical distancing measures. You can watch the recording here.

04/10/20: I was back on Mut at Night on WBUR to discuss how things are progressing with COVID-19. You can listen the recording here.

04/09/20: Interested in how scientists are investigating ways to "re-open" our societies after the first COVID-19 waves? See the coverage of the Santa Fe Institute workshop I co-organized in the Santa Fe Reporter. And, you can watch the recording here.

04/06/20: In collaboration with the team at the Institute for Disease Modeling, we wrote a manuscript on the seeding of COVID-19 in Sub-Saharan Africa. You can read the pre-print here.

04/05/20: One challenging aspect of this outbreak is finding experts you can trust. The brilliant C. Brandon Ogbunu wrote a piece for Wired on how to identify COVID carpetbaggers.

04/02/20: Excited to be on Carlos Guarnizo's science podcast to discuss COVID19. You can watch our conversation on You Tube.

04/01/20: I was interviewed on the Santa Fe Institute's Complexity podcast. You can listen here.

04/01/20: Our Science article on the effectiveness of non-pharmaceutical interventions for controlling COVID-19 in China has gotten wonderful coverage in the press and on social media. You can find most of the stories and discussions here.

03/31/20: Together with a large consortium, we are studying mobility patterns across the US in response to COVID19. You can read our first pre-print here.

03/31/20: I co-organized a Santa Fe Institute workshop on COVID-19: After the First Waves. You can watch the recording here.

03/26/20: If you're interested in learning more about our efforts to map COVID-19, see my interview on Vice News.

03/25/20: Our article on the effectiveness of non-pharmaceutical interventions for controlling COVID-19 in China is out now in Science. This work was co-authored with Chia-Hung Yang, a PhD student in our lab.

03/24/20: Along with the rest of the open COVID-19 data working group, I coauthored a manuscript out now in Nature Scientific Data on the open line-list data we maintain for the ongoing COVID-19 outbreak.

03/23/20: I participated in a live, Boston City Council hearing on the city's COVID-19 response. You can hear from all the incredible, dedicated panelists here here.

03/23/20: How can we better leverage real-time, human mobility data to track COVID-19 and are the privacy risks worth it? Read our letter to Science and an interview with me and many others.

03/19/20: National Geographic included me in a story on, "What’s the safest gathering size to slow the coronavirus?" Turns out there isn't one. Learn more here.

03/18/20: I was interviewed by Bob Oakes on WBUR's Morning Edition about how the cases of COVID-19 being reported may just be the tip of the iceberg. You can listen to the interview here.

03/16/20: If you're interested in learning more about the tough road ahead of us in the US, you can read my recent interview in the Boston Globe.

03/13/20: I joined MUT at Night on WEEI Radio in Boston to discuss the COVID-19 outbreak.

03/12/20: Bloomberg wrote a feature story on my prediction that the US and Massachusetts is on the same COVID-19 trajectory and has to act now to flatten the curve.

03/06/20: We just posted a pre-print describing the results of a study into how mobility--and other interventions in China--slowed the spread of COVID-19. You can read the article here .

03/06/20: Axios wrote a short piece on how recent work we published explains why the link between social contagions and real biological contagions are a feature of modern outbreaks because of misinformation and fake news. You can read the article here.

03/03/20: Northeastern News wrote a fantastic story on how interacting social and biological contagions drive outbreaks like COVID-19. You can read the article here.

03/03/20: I was interviewed by Helen Branswell at STAT news regarding the very serious situation with COVID-19 in Seattle. You can read the article here.

02/29/20: I wrote a Medium post based on a conversation I recently had about COVID19. I hope it's helpful and, as always, feedback is very welcome.

02/27/20: If you have K-12 children and are concerned about how to prepare for local COVID19 transmission in the US, I'd suggest reading this recent article in the Washington Post that I was interviewed for.

02/24/20: Can we distinguish interacting pathogens from social contagion? The manuscript I co-authored with Jean-Gabriel Young and Laurent Hébert-Dufresne answers this question in our new Nature Physics publication.

02/19/20: Together with a large, international group, we are curating a line-list data for the ongoing COVID-19 outbreak. You can read a recent correspondence about the ongoing importance of our work in The Lancet Infectious Diseases here .

02/10/20: A manuscript I co-authored with Antoine Allard, Laurent Hebert-Dufresne, and Ben Althouse on predicting epidemic risk, with an application to nCoV2019, was just posted as a pre-print to the arXiv.

02/10/20: Storybench, a digital storytelling publication at Northeastern University's school of journalism, wrote an article on the nCoV2019 maps I've helped create. You can read the interview here.

02/08/20: Mapbox wrote a blog post on how we're using some of their tools to track nCoV2019. You can read the post here.

01/30/20: I was interviewed by Northeastern News about work we're doing to curate data on the nCoV outbreak and map the spread of the disease. You can read the article here.

01/24/20: I'm working with a large, collaborative group to develop and visualize line-list data for the ongoing nCoV19 outbreak. You can learn more here and see a live map of the outbreak here .

01/06/20: This semester, I'm teaching a graduate course called, "Contagion on Networks." Follow along on my Teaching Page.

12/17/19: I'm teaching at the Complex Networks Winter Workshop in beautiful Quebec City. You can learn more about the program and apply for next year's iteration here.

12/13/19: Chia-Hung Yang successfully defended his dissertation proposal and has advanced on to PhD candidacy!

11/15/19: Dharma Platform is presenting at the 2019 Place & Health Conference at the CDC Global Communications Center in Atlanta, Georgia. You can register and/or follow the conference here.

10/23/19: Google and Deep Mind are co-hosting a three-day working group on the future of AI and healthcare. I'm looking forward to attending the meeting in Tel Aviv later this month.

10/22/19: Dharma Platform is presenting with Seva Foundation at the NetHope Global Summit in Puerto Rico on digital transformation. Learn more and follow the meeting here.

10/03/19: I'm excited to give an invited lecture entitled, "Real-time Data for Ground Truth: Humanitarian and Emergency Response Applications of Novel Data and New Technologies" at the Complex Systems for the Most Vulnerable satellite meeting during CCS 2019 in Singapore. The event is co-organized by researchers from UNICEF, the World Food Programme, and the ISI Foundation.

09/05/19: Michael Roytman, the Chief Data Scientist at Kenna Security and co-Founder of Dharma Platform, Mollie Woods, Senior Monitoring, Evaluation, and Learning Advisor at ChildFund International, and I are presenting on data security at MERLTech DC 2019,.

08/21/19: In graduate school, I co-developed a set algorithms for geospatial data analysis and they were just granted an active, European patent. You can read about the methodology here.

08/06/19: I'm giving a keynote at the Latin American Conference on Complex Networks in Cartagena, Colombia. You can find out more about the conference here.

07/31/19: Our manuscript presenting evidence for asymptomatic transmission of whooping cough is early online at Clinical Infectious Diseases You can find a full text version on my Publications page.

07/19/19: Proud to announce that Dharma Platform and ChildFund International have partnered to, "grow and improve the speed of outreach to vulnerable children through digital data collection." You can read the press release here.

07/09/19: If you're interested in how Chia-Hung Yang and I are studying gene network evolution, you can watch a video of my recent presentation here.

06/26/19: I participated in a panel discussion during the Geographic Perspectives on Infectious Diseases in Humans, Animals, and the Environment workshop at Harvard University. You can find a post and video of my opening remarks on the Dharma Platform Blog.

06/04/19: The manuscript I co-authored with Jean-Gabriel Young and Laurent Hébert-Dufresne on interacting contagions was just posted as a pre-print to the arXiv.

06/02/19: I'm speaking at the Council of State and Territorial Epidemiologists meeting about utilizing novel data streams and technologies for public health surveillance. If you can't join in-person, my slides are here.

05/28/19: Please join us at the Diversify NetSci 2019 Satellite. Building on successful (informal) meetings of the Women in Network Science in 2018 at CompleNet, INSNA’s Sunbelt, and NetSci, we propose a day-long satellite dedicated to diversity in Network Science. Learn more and register to attend here.

05/20/19: I participated in writing a World Economic Forum white paper on digital transformation and novel data-driven insights. Read the report here.

05/13/19: I'm excited to present Crowdsourced community health surveillance during emergencies using web-based cloud technology at the WebConf satellite Data Science for Social Good.

04/29/19: I spoke at the ICT4D conference on how Good Data Saves Lives. Read more about the conference and what I disucussed here.

04/18/19: The manuscript I co-authored with Rafael Guerrero, C. Brandon Ogbunu, Jim Hartl, and others was just acecpted at Genetics. You can still read the pre-print here.

03/22/19: Ben Althouse and I wrote a commentary in PNAS on bed bugs: Uncovering the hidden cost of bed bugs.

03/21/19: I presented a webinar to the DME for Peace community on Humanitarian Uses of Emerging Technology. You can listen to a recording here.

02/28/19: Northeastern University News wrote a great article on our recent outbreak prediction work. Read it here.

02/22/19: Giovanni Petri and I just published an article in Nature Communications: On the predictability of infectious disease outbreaks.

02/22/19: The Northeastern University College of Science News wrote an article on the whooping cough book I co-edited for Oxford University Press. Read it here.

02/14/19: C. Brandon Ogbunu, Randall Harp, and I wrote an essay on predicting infectious disease outbreaks for The Conversation, which was just republished by The World Economic Forum.

02/08/19: Our paper on food insecurity and cancer survivors is online at Cancer Causes & Control.

01/11/19: Dharma Platform has partnered with Riders For Health to bring digital transformation to last mile health in Africa. Here's a video of the incredible work they're doing.

01/06/19: I'll be speaking at NetSci X in Santiago Chile. You can follow along with a live stream on the website.

12/17/18: I am excited to participate in the Complex Networks Winter Workshop in Quebec City! You can find the slides for my lecture here.

12/07/18: I am participating in the International Workshop on Theoretical perspectives in Network Science at Seoul National University and organized by the Asia Pacific Center for Theoretical Physics. Learn more about the workshop here.

11/25/18: We posted a pre-print describing how the "Proteostasis environment shapes higher-order epistasis operating on antibiotic resistance" to the bioRxiv.

11/05/18: The Network Science Institute at Northeastern University is recruiting for an open rank, tenure-track professor in network science and human health. Learn more and apply here.

10/25/18: Chia-Hung and I are both speaking at the First Annual Northeastern University Network Science Student Research Symposium. See the schedule here and join us on Nov. 1st!

10/11/18: What are the information theoretical limits to forecasting disease spread? Giovanni Petri and I have just posted an updated version of our manuscript, "On the predictability of infectious disease outbreaks" to the arXiv.

10/04/18: I was named to the Scientific Steering Committee for BioFire's Trend surveillance system. See the data in action here.

09/26/18: I participated in a World Economic Forum meeting on data sharing during outbreaks in NYC.

09/01/18: Wan He joined our lab as new PhD student in Network Science! We're very excited to have her join our group.

08/16/18: I collaborated on an analysis of how the participatory surveillance systems, FluNearYou, can augment existing influenza surveillance in the US. Read it here.

08/13/18: Our paper on neonatal intensive care networks in the US, led by Munik Shrestha and in collaboration with the Vermont Oxford Network, is online at EPJ Data Science. Read it here.

08/07/18: I interviewed by the Northeastern Univ. undergraduate science magazine, NUSci, about Nipah, Ebola, Zika, and other emerging infectious diseases. Read the article here.

07/26/18: Caitlin Rivers and I published a Correspondence in Nature on predicting outbreak trajectories. Read it here.

07/09/18: Chia-Hung Yang and I both attended the Society for Molecular Biology and Evolution meeting in Yokohama, Japan. Preprints describing the work we presented are coming very soon.

06/11/18: I'm giving an invited lecture on predictability and network dynamics at the annual NetSci meeting in Paris later this week.

05/25/18: I used data curated by Prof. Caitlin Rivers at Johns Hopkins, imported into Dharma Platform, to write a short post about the ongoing Ebola outbreak in the DRC.

05/05/18: The schedule for our satellite at NetSci 2018, Networks and Contagion, is live. Check it out here.

04/25/18: I debated about data privacy at the 2018 Digital Health meeting in Lyon. Learn more about the conference here.

04/10/18: My interview on the Important Not Important podcast about algorithms, disease modeling, & why interdisciplinary approaches to science are so critical is online. You can listen to the podcast here.

04/03/18: Our new manuscript on a socioeconomic bias in influenza surveillance is on the arXiv. If you're looking for the supplment, see my Publications page.

03/28/18: Both Munik and Chia-Hung had manuscripts accepted for podium presentations at conferences this summer. We're looking forward to seeing everyone and learning about new and exciting science later this year! Learn more about what our group is up to here.

03/17/18: I participated in Brown University's Hack for Humanity Event. Learn more about this amazing event here.

03/12/18: I spoke at the Harvard School of Public Health's Center for Communicable Disease Dynamics on the Predictability of Infectious Disease Outbreaks. Watch it here.

02/25/18: We had two exciting papers on next generation surveillance systems accepted. Read them on the Publications page.

02/14/18: Our latest pre-print, "The Interhospital Transfer Network for Very Low Birth Weight Infants in the United States" is on the arXiv.

02/04/18: Have you had a manuscript delayed at the arXiv due to how your work was classified? If so, try out the Moderator Buster tool I built using 20,000 pre-prints and deep learining.

01/12/18: I was interviewed about our work on Zika virus sexual transmission by Infectious Disease News.

01/01/18: Don't close the gates is a News and Views I just published in Nature Physics. You can read it here.

12/19/17: I just published an essay on influenza vaccination. You can read it on Medium.

11/21/17: I was interviewed by Northeastern University about my reseach interests and ended up also discussing my love for cooking and interest in creativity.

11/08/17: I am speaking at the Workshop on Data and Algorithm Bias during CIKM 2017 in Singapore. More information here.

10/27/17: I was name a Fellow of the ISI Foundation in Turin Italy. You can read about the fellows program and the exciting complex systems work being done at ISI here.

10/17/17: I'm on the program committee for NERCCS 2018: the First Northeast Regional Conference on Complex Systems. Learn more and submit your abtracts here.

10/01/17: I was interviewed by fivethirtyeight .com about how power outages in Puerto Rico might increase mosquito-born disease incidence. You can read the full article here.

09/25/17: Our manuscript on how the risk of Zika virus sexual transmission may be dramatically underestimated is now early online at PLoS Pathogens.

09/17/17: I'm honored and humbled to recieve one of two Junior Researcher Awards from the Complex Systems Society. Our wonderful community makes us all stronger. Thank you all!

08/20/17: I'm giving a keynote address at CompleNet18. Submit your contributed talks here.

08/07/17: Our manuscript on Zika virus sexual transmission is early online at PNAS.

07/25/17: A paper describing a novel use of BioFire data for disease surveillance is on bioRxiv.

07/02/17: Our paper on how asymmetric percolation drives a double transition in sexual contact networks is on the arXiv.

06/15/17: Our paper on the topology of gene expression networks is out in Proceedings of the Royal Society. Read it here.

05/28/17: Excited to announce that my group is moving to the Network Science Insitute at Northeastern this fall! Im grateful for everyone at UVM & thrilled to join the team Northeastern University.

05/15/17: Our paper on Estimating trait heritability in highly fecund species was selected for the 2016 G3: Genes|Genomes|Genetics Spotlight. Read about it here.

04/17/17: I spoke at the Gund Institute Research Slam about the predictability of disease outbreaks. You can watch the four minute talk here.

04/03/17: The code and data for our work on gene networks and local adaptation are on GitHub.

03/21/17: What are the information theoretical limits to forecasting disease spread? Giovanni Petri and I explore this topic in our new pre-print, which is now live on the arXiv.

03/01/17: Our work on designing arbovirus surveillance systems is early online at Emerging Infectious Diseases. Read it here.

02/09/17: Munik and my collaborative paper with the Vermont Oxford Network on the Interhospital Transfer Network for Very Low Birth Weight Infants in the United States was just accepted for a podium presentation at the Pediatric Academic Societies annual meeting. We are very excited about this new direction for the lab!

01/25/17: Our satellite on Networks and Contagion was selected for NetSci 2017. More details, and a link to abstract submission, here.

01/16/17: Stat 201: Computational Statistics is starting this week! Head over to my teaching page for more information.

12/22/16: Our work on designing arbovirus surveillance systems was just accepted at Emerging Infectious Diseases.

12/05/16: There are three faculty members from the Complex Systems Center at UVM on the SIAM Workshop on Network Science program committee. We're looking forward to reading your best new work! Submit here.

11/30/16: Are we underestimating the Zika sexual transmission risk? My collaborators and I think so. Read our new pre-print on bioRxiv.

11/10/16: I am now a Deputy Editor at PLoS Neglected Tropical Diseases. I'm looking forward to reading your best work on advancing our scientific, public health, and medical understanding of neglected pathogens.

10/15/16: We just posted a pre-print for our work on the topology of local adaptation. Read it on bioRxiv.

10/07/16: Our manuscript "On the young age of intraspecific herbaceous taxa" is early online at New Phytologist.

09/26/16: Presenting tonight at the Burlington Data Science Meet-up on socioeconomic biases in influenza surveillance. Visit the organization website for more information.

09/12/16: Submit to the new session on health, data, and computation at WWW 2017. Details here.

08/31/16: I'm currently teaching a class on statistical learning. All of the material will be posted to the teaching page on this website.

08/09/16: Lots of exciting press coverage of our paper in Nature Physics. You can find most of them here.

08/03/16: Great article in Smithsonian Magazine discussing our new paper on how replacing sick workers can accelerate disease transmission.

08/01/16: Our paper on how replacing key members of society during an outbreak can accelerate transmission is out in Nature Physics. Read it here here.

06/15/16: Sophia Navarre has joined our group and will be working on a study of how climate variables affect the persistence and spread of arboviruses.

06/08/16: I'm giving a seminar to the Mathematics & Foundation of Complex Systems group at the ISI foundation in Turin Italy on fundamental limits to disease prediction.

05/13/16: George Chrisafis, an undergraduate in our group, was awarded UVM's Common Good Internship award and will spend the summer at the Hutch in Seattle. Read more here here.

04/19/16: Our paper on the cost-effectiveness of next-generation vaccines: the case of pertussis is early online at Vaccine. Read it here here.

04/15/16: Presenting on how high tech surveillance systems overlook the poor during the Institute for Disease Modeling's annual research symposium.

04/04/16: Presented on the challenges of forecasting infectious diseases with Alessandro Vespignani at the Vermont Complex Systems Center's "Big Spread, Big Dead" event. See my talk here.

03/28/16: Our paper on the economic benefit of priming children with the whole-cell pertussis vaccine is online first at JAMA pediatrics. Read it here and the editorial here.

03/22/16: Co-organized a workshop at the Santa Fe Institute on the resurgence of whooping cough. Read the press release here.

03/01/16: Munik Shrestha joined the Emergent Epidemics Lab as our first postdoctoral researcher. Learn more about Munik and his research here.

02/11/16: I attended a Chatham House roundtable discussion on Strengthening Data Sharing for Public Health. Read more here.

01/10/16: The Santa Fe Reporter wrote a nice article on the whooping cough resurgence that featured our recent pertussis paper. Read it here.

12/15/15: I am co-organizing a workshop at the Santa Fe Institute on the re-emergence of pertussis.

11/07/15: The talk I gave on poverty and disease at Creative Mornings Santa Fe is now online. Watch it here.

10/11/15: Our paper on paper on the challenges and opportunities of using novel data streams for disease surveillance is in press at EPJ Data Science. Read it here.

9/30/15: I'll be speaking at Creative Mornings Santa Fe on Wed. Oct. 14th at 9am. Details here.

9/3/15: Our paper on how a prudent behavior can drive accelerating disease transmission is on the arXiv. Read it here.

8/27/15: Our paper on Dynamic Message Passing for recurrent state epidemics on networks is out in PRE. Read it here.

8/01/15: I'm co-organizing a workshop called EpiHack: Analytics on data analytics for public health with the Skoll Global Threats Fund.

6/30/15: The New York Times wrote a nice article about our recent pertussis paper. Read it here.

6/23/15: Our paper on asymptomatic transmission and the resurgence of whooping cough is now online at BMC Medicine. Read it here.

5/13/15: A new version of my R package, binequality, is available on GitHub. Find it here.

3/30/15: Our paper on robust estimation of inequality from binned income data was just accepted at Sociological Methodology. Read the pre-print here and check out the accompanying R package.

3/16/15: Our workshop, "Non-equilibrium versus optimization approaches to the origin of social groups," has been funded for summer 2016 by IMeRA - Aix Marseille Universite.

3/7/15: Excited to announce that I'll be starting as an Assistant Professor in the Department of Mathematics and Statistics and the Complex Systems Center at the University of Vermont in Jan. 2016. I'm looking for graduate students and postdocs, so please send me an email if you are interested in joining our group.

1/12/15: Poverty and Ebola: Why Ebola Goes Viral or Dies Out - see my new article in Nautilus.

1/1/15: Our paper, "Epidemiological and Viral Genomic Sequence Analysis of the 2014 Ebola Outbreak Reveals Clustered Transmission," was published in
Clinical Infectious Diseases and covered by the New York Times and The Economist, among others.

12/10/14: I was interviewed about the ongoing Ebola outbreak by Mary-Charlotte on KSFR's Science Radio Cafe, listen