MIGHTE
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  • Team
  • Research
    • Research Overview
    • Digital Epidemiology
    • Pandemic Preparedness
    • Improvement of Patient Care and Hospital Resource Allocation
    • Climate and Health
    • Monitoring Changes in Human Behaviors during COVID-19
    • Computational Fluid Dynamics: Shallow water modeling
    • Global Atmospheric Chemistry
  • Publications
    • Latest publications
    • 2021
    • 2020
    • 2018 - 2019
    • 2015 - 2017
    • 2008 - 2014
  • News
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Team

Lab Director

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Mauricio Santillana, Ph.D.
Professor of Physics and Electrical and Computer Engineering, Network Science Institute, Northeastern University

Adjunct Professor of Epidemiology, Harvard T.H. Chan School of Public Health
Affiliate Faculty, Center for Communicable Disease Dynamics, Harvard T.H. Chan School of Public Health
Biography
Mauricio Santillana, PhD, MSc is the director of the Machine Intelligence Group for the betterment of Health and the Environment (MIGHTE) at the Network Science Institute at Northeastern University. He is a Professor at both the Physics and Electrical and Computer Engineering Departments at Northeastern University, and an Adjunct Professor at the Department of Epidemiology, T.H. Chan Harvard School of Public Health.
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Dr. Santillana’s research areas include the modeling of geographic patterns of population growth, modeling fluid flow to inform coastal floods simulations and atmospheric global pollution transport models, and most recently, the design and implementation of disease outbreaks prediction platforms and mathematical solutions to healthcare. His research has shown that machine learning techniques can be used to effectively monitor and predict the dynamics of disease outbreaks using novel data sources not designed for these purposes such as: Internet search activity, social media posts, clinician’s searches, human mobility, weather, etc.

His original research and perspectives have appeared in journals such as Nature, Science, Proceedings of the National Academy of Science, Science Advances, Nature Communications, and Nature Climate Change, among others. His work has been funded by the National Institute of General Medical Sciences (National Institutes of Health, NIH), the U.S. Centers for Disease Control and Prevention, and multiple foundations such as: the Bill and Melinda Gates Foundation, the Johnson and Johnson Foundation, Ending Pandemics Fund, Skoll Global Threats Fund.

Dr. Santillana has advised the US CDC, Africa CDC, and the White House on the development of population-wide disease forecasting tools. His original research and perspectives have been featured in a diverse array of national and international news outlets such as The New York Times, The Washington Post, The Atlantic, The Wall Street Journal, Vox.com, Politico, National Public Radio, CNN, CNN Espanol, Fox, BBC, among others.  

​Mauricio received a B.S. in Physics with highest honors from Universidad Nacional Autónoma de México in Mexico City, and a Master’s and PhD in Computational and Applied Mathematics from the University of Texas at Austin. Mauricio was a Postdoctoral fellow at the Harvard Center for the Environment and later became a lecturer in applied mathematics at the Harvard School of Engineering and Applied Sciences, receiving two awards for excellence in teaching. He became a tenure-track faculty member at Boston Children's Hospital, Harvard Medical School, and the Harvard T.H. Chan School of Public Health. He recently joined the faculty at Northeastern University. 

​Works on:
Using social media, Internet searches, and electronic health records to predict incidence of influenza, dengue fever, malaria, COVID-19, antibiotic resistance, in multiple locations worldwide. Using electronic health records to predict outcomes in pediatric intensive care units. Developing approaches to improve resource allocation in Hospitals. Characterizing epidemic outbreaks in real-time. Pandemic Preparedness. Numerical Solutions of Partial Differential Equations. Scientific Computing.

Contact

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Email
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Twitter
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Google Scholar
Office location​
177 Huntington Ave
Room 228
Boston, MA 02115
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Team Members

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César Leonardo Clemente
M.S. Applied Math and Physics,
Tecnológico de Monterrey
Team member: 2017 - present
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Skyler Wu
Undergraduate student,
Harvard University
Team member: 2020 - present
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Shae Gantt
M.S. student in Infectious Disease Epidemiology,
​Harvard T.H. Chan School of Public Health
​Team member: 2021 - present
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Nicole Kogan
PhD Student in Population Health Sciences,
Harvard T.H. Chan School of Public Health
Team member: 2020 - present
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Iris Lang
Undergraduate Student
​Harvard University
Team member: 2022 - present
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Tamanna Urmi
Ph.D. Student in Network Science
​Northeastern University
​Team member: 2022 - present

Affiliate Members

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Canelle Poirier
PhD Applied Statistics,
Université de Rennes, France
​Team member: 2019 - present
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Dianbo Liu
PhD Mathematical Modelling, 
University of Dundee, UK
​Team member: 2019-present
Now: Postdoctoral Fellow at MILA 
Quebec Artificial Intelligence Institute​ 
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Taylor Chin
PhD Student in Population Health Sciences,
Harvard T.H. Chan School of Public Health
​Team member: 2018 - present
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Austin Meyer
M.D. Ph.D. University of Texas at Austin,
Team member: 2021 - present
Now: 
Instructor, Harvard Medical School
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Leonardo Cázares
Undergraduate Student, Physics
Universidad Nacional Autónoma de México
Team member: 2022 - present
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Lucas Stolerman
PhD Mathematics,
National Institute for Pure and Applied Mathematics, Brazil
Team member: 2020 - present
Now: Assistant Professor, Oklahoma State University

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Yuval Barak-Corren
M.D., Researcher at Boston Children's Hospital
Collaboration: 2016 - present
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Tigist Menkir
PhD Student in Population Health Sciences,
Harvard T.H. Chan School of Public Health
Team member: 2019 - present
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Xincheng Tan
Master in Computational Science & Engineering Student,Harvard Institute of Applied and Computational Sciences
Team member: 2021 - present
Now: Data Engineer at Google (YouTube)

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Anjalika Nande
PhD Physics,
Harvard University, Cambridge, MA, USA
Team member: 2021 - present
Now: Postdoctoral Fellow, Johns Hopkins University

Alumni
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Justin Kaashoek, Undergraduate student,
Harvard College
Team member: 2020 - 2022

Lin Zhu, Master in Computational Science & Engineering Student, Harvard Institute of Applied and Computational Sciences
​Team member: 2020 - present
Now: Software Engineer, Wish

Paola Calvachi, MD MSc,
MBI-Candidate, Harvard Medical School
Team member: 2020 - 2022
Now: Graduate Student, Stanford University
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Nick Link, PhD Student in Biostatistics,
Harvard T.H. Chan School of Public Health
Team member: 2019 - 2022

Kristin Baltrusaitis, Ph.D. Candidate in Biostatistics, Boston University School of Public Health
Collaboration: 2015 - 2022
Now: Postdoctoral Fellow, Harvard T.H. Chan School of Public Health
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Vivek Sharma, PhD
Researcher, MIT Media Lab; 
Team member: 2019 - 2020
Now: Postdoctoral Fellow, Massachusetts Institute of Technology
 
Backtosch Mustafa, Medical Student, University of Hamburg; 
Visiting Scholar, Harvard Medical School
Team member: 2019 - 2020

Wei Luo, PhD in Geographic Information Sciences,  Postdoctoral Fellow at HMS
Team member: 2019-2020
Now: Assistant Professor, National University of Singapore

​Bhaven Patel, Master in Computational Science & Engineering Student, Harvard Institute of Applied and Computational Sciences
Team member: 2019 - 2020
Now: Analyst, Personal Capital

Mathieu Molina, M.S. Engineering and Data Science, Mines ParisTech; Intern, Boston Childrens Hospital/Harvard Medical School
Team member: 2019 - 2020
Now: Amazon Inc

Emily Aiken, B.S. Computer Science, Harvard University
Team member: 2018 - 2019
Now: PhD student, University of California, Berkeley
Sarah McGough, PhD,  Candidate Global Health, Harvard School of Public Health       
Team member: 2016 - 2019
Now: Data Scientist at Genentech

Gal Koplewitz, B.S. Computer Science, Harvard University
Team member: 2018 - 2019
Now: Data Scientist, Quantum Black; and Independent Scientific Writer, (The Economist, New Yorker, etc)

​Karla Mejía, M.S. in Global Health, Harvard School of Public Health
Team member: 2018 - 2019
Now: Associate Staff, MIT Lincoln Laboratory

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Fred Lu, M.S. Statistics, Stanford University             
Team member: 2016 - 2018       
Now: Ph.D. student, University of Maryland 
and
 Data Scientist, Booz Allen Hamilton
David Castiñeira, PhD. Chemical Engineering, Postdoctoral Fellow, Massachusetts Institute of Technology
Team member: 2016 - 2017
Now: Chief Technology Officer, Quantum Reservoir Impact
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Gaston Fiore, M.S. Computer Science, Massachusetts Institute of Technology
Team member: 2016 - 2017
Now: Entrepreneur

​Kaycie Schlosser, Medical Doctor, Chief Fellow, Boston Children's Hospital
Team member: 2016 - 2017
Now: Pediatric Intensivist, Columbia University Irving Medical Center

Gal Wachtel, B.S. Molecular & Cellular Biology, Harvard University
Team member: 2017
Now: Data Scientist, Palantir

Sam Tideman, M.S. Epidemiology, Harvard School of Public Health
Team member: 2017
Now: Data Scientist, Northshore University Healthsystem

Nick Generous, M.S. Epidemiology, Harvard School of Public Health
Team member: 2017
Now: Scientist, Los Alamos National Laboratory

Suqin Hou, M.S. Biostatistics, Harvard School of Public Health
Team member: 2016
Now: Data Scientist, KAYAK

Andre Nguyen,  B.S. Applied Math, Harvard University
Team member: 2014 - 2016
Now: Director of Machine Learning, JURA Bio, Inc. 
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Mailing Address
Northeastern University
360 Huntington Ave
2000-177
Boston, MA 02115
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​Copyright © 2022
  • Home
  • Team
  • Research
    • Research Overview
    • Digital Epidemiology
    • Pandemic Preparedness
    • Improvement of Patient Care and Hospital Resource Allocation
    • Climate and Health
    • Monitoring Changes in Human Behaviors during COVID-19
    • Computational Fluid Dynamics: Shallow water modeling
    • Global Atmospheric Chemistry
  • Publications
    • Latest publications
    • 2021
    • 2020
    • 2018 - 2019
    • 2015 - 2017
    • 2008 - 2014
  • News
  • Press