Our multi-disciplinary research involves the conception and implementation of machine intelligence analytics tools, capable of predicting unobserved events in healthcare in the immediate or near future. Our work ranges from tracking disease outbreaks around the Globe, leveraging information from big data sets from Internet-based services (such as Google, Twitter, Weather, Human Mobility, Electronic Health Records), to bed-side patient-centered monitoring approaches aimed at improving care in clinical settings.

Generally speaking, our approaches use machine learning techniques to identify patterns that have occurred historically that may be predictive of specific and future events of interest, for example:

  • Can we characterize the time evolution of a disease outbreak in a population by analyzing disease-related search activity on Internet search engines?
  • Can we identify real-time vital signs patterns in a patient's hospital visit that may suggest the need to intervene or change care plans, hours (or days) before this happens?

Our team consist of applied mathematicians, computer scientists, physicists, public health experts, and clinicians. 

Current Team Members:

Mauricio Santillana

Mauricio Santillana, PhD. Physics and Computational and Applied Mathematics

Principal Investigator and Lab lead, Assistant Professor, Harvard Medical School

Sarah McGough

Sarah McGough, PhD Candidate Global Health, Harvard School of Public Health       

Team member: 2016 - present

Emily Aiken

Emily Aiken, B.S. Computer Science, Harvard University

Team member: 2018 - present

Gal K

Gal Koplewitz, B.S. Computer Science, Harvard University

Team member: 2018 - present

Leo Clemente

Cesar Leonardo Clemente, M.S. Applied Math and Physics, Tecnológico de Monterrey

Team member: 2017 -present

Taylor Chin

Taylor Chin, M.S.  Candidate Epidemiology, Harvard School of Public Health

Team member: 2018 - present

Karla_Mejia

    
Karla Mejía, M.S. in Global Health, Candidate, Harvard School of Public Health

Team member: 2018 - present

Current Collaborators

Derek MacFadden

Derek MacFadden, Medical Doctor and Ph.D Candidate, Harvard School of Public Health 

Collaboration: 2017- present

Mohammad Hattab

Mohammad W. Hattab, Ph.D. Biostatistics, Wyss Institute, Harvard University

Collaboration: 2018 - present

Maia Majumder

Maia Majumder, Ph.D. Engineering Systems, Harvard University’s Health Policy Data Science lab

Collaboration: 2014 - present

Won-Yong

Prof. Won-Yong Shin, Ph.D. Electrical Engineering and Computer Science, Dankook University, Korea

Collboration: 2018 - present

Past Team Members

Fred Lu

Fred Lu, B.S Computational Biology, Harvard University             

Team member: 2016 - 2018       

Now: Graduate student, Stanford University

   David Castineira

David Castiñeira, PhD. Chemical Engineering, Postdoctoral Fellow, Massachusetts Institute of Technology

Team member: 2016 - 2017

Now: Chief Technology Officer, Quantum Reservoir Impact

Gaston Fiore

Gaston Fiore, M.S. Computer Science, Massachusetts Institute of Technology

Team member: 2016 - 2017

Now: Entrepreneur

     Kaycie Schlosser

Kaycie Schlosser, Medical Doctor, Chief Fellow, Boston Children's Hospital

Team member: 2016 - 2017

Now: Pediatric Intensivist, Columbia University Irving Medical Center

Gal Wachtel

Gal Wachtel, B.S. Molecular & Cellular Biology, Harvard University

Team member: 2017

Now: Data Scientist, Palantir

Sam Tideman

Sam Tideman, M.S. Epidemiology, Harvard School of Public Health

Team member: 2017

Now: Data Scientist, Northshore University Healthsystem

 Nick Generous

Nick Generous, M.S. Epidemiology, Harvard School of Public Health

Team member: 2017

Now: Scientist, Los Alamos National Laboratory

Woman

Suqin Hou, M.S. Biostatistics, Harvard School of Public Health

Team member: 2016

Now: Data Scientist, KAYAK

Andre Nguyen

Andre Nguyen,  B.S. Applied Math, Harvard University

Team member: 2014 - 2016

Now: Senior Data Scientist, at Booz Allen Hamilton 

Tamara Louie

Tamara Louie, M.S. Biostatistics, Harvard School of Public Health

Team member: 2015

Now: Data Scientist, Pinterest