People

Principal Investigator and Team

Jukka-Pekka “JP” Onnela
Associate Professor of Biostatistics, Harvard T.H. Chan School of Public Health; Director of the Master of Science in Health Data Science Program
Email: onnela@hsph.harvard.edu

My research focuses on statistical analysis and mathematical and computational modeling of social and biological networks and their connection to human health. My other main research area is digital phenotyping. Prior to joining the Department of Biostatistics at the Harvard School of Public Health in November 2011, I was a Postdoctoral Research Fellow at Harvard Medical School, a Fulbright Visiting Scholar at the Harvard Kennedy School, and a Junior Research Fellow at the University of Oxford. I received NIH Director’s New Innovator Award in 2013.

Kenzie W. Carlson
Research Manager, Department of Biostatistics, Harvard T.H.Chan School of Public Health
Email: kcarlson@hsph.harvard.edu

I lead the product development, operations, contracting, onboarding, and customer success of the Beiwe research platform and its associated service center. Prior to joining the Onnela Lab, I received my bachelor’s from Indiana University in 2013 and worked for Accenture for three and a half years. I am especially interested in improving health outcomes through technology and data. I am also an MPH candidate in Health Management at the Harvard T.H. Chan School of Public Health.

Postdoctoral Fellows

Anna Beukenhorst
Postdoctoral Research Fellow, Department of Biostatistics, Harvard T.H. Chan School of Public Health
Email: abeukenhorst@hsph.harvard.edu

I am a healthcare informatician with a broad data science skillset and interdisciplinary background. I hold a Ph.D. in Digital Epidemiology and Data Science from the University of Manchester and an MSc in Healthcare Informatics from the University of Amsterdam. In graduate school, I specialized in data science methods for converting complex data from smartphones and smartwatches into clinically meaningful exposures and outcomes. In the Onnela Lab, I focus on statistical methods for real-time analysis of health and behavior data from smartphones.

Shahab Haghayegh
Postdoctoral Research Fellow, Department of Biostatistics, Harvard T.H. Chan School of Public Health
Email: shahab@hsph.harvard.edu

I am a Biomedical Engineer with an interdisciplinary background. My research interests lie in the area between health sciences and data science. I received my Ph.D. in Biomedical Engineering from The University of Texas at Austin. Prior to that, I received three master’s degrees in Engineering, Statistics, and Mechanical Engineering, and a bachelor’s degree in Mechanical Engineering. My research areas include digital health, Artificial Intelligence in medicine, sleep medicine, circadian rhythm, biostatistics, and wearable devices.

Thien Le
Postdoctoral Research Fellow, Department of Biostatistics, Harvard T.H. Chan School of Public Health
Email: thle@hsph.harvard.edu

My research interest focuses on network structures and their connection with different interaction systems such as the disease spreading system or the nervous system. Before joining the Onnela Lab, I completed my Ph.D. in Statistics in May 2020 at Michigan State University under the direction of Dr. Ping-Shou Zhong. My Ph.D. dissertation developed new methodologies in estimating and testing network structures for high-dimensional data. At Michigan State University, I also worked in a variety of projects in different disciplines such as biology, healthcare, or agriculture under the roles of a statistical consultant and a research assistant. At the Onnela lab, I focus on developing methods in the intersection of Approximate Bayesian Computation and Statistical Network Science. In my free time, I enjoy swimming, practicing martial arts, and meditating.

Louis Raynal
Postdoctoral Research Fellow, Department of Biostatistics, Harvard T.H. Chan School of Public Health
Email: llcraynal@hsph.harvard.edu

Before joining the Onnela Lab, I received a master’s and a doctorate degree in biostatistics from the University of Montpellier, France. My current research is in statistical network science, more precisely I am focusing on the use and development of Approximate Bayesian Computation methods for the analysis of mechanistic network models.

Aarti Sathyanarayana
Postdoctoral Research Fellow, Department of Biostatistics, Harvard T.H. Chan School of Public Health

My research interests lie at the cross-section of signal processing, machine learning, and digital health informatics. Prior to joining the Onnela Lab, I have developed digital biomarkers to improve the treatment and care of neurological disorders and sleep, using wearable devices, electroencephalography signals, and GPS data. My current work will focus on developing computational methods for digital phenotyping from mobile data. I received my doctoral and master’s degrees in Computer Science from the University of Minnesota.

Marcin Straczkiewicz
Postdoctoral Research Fellow, Department of Biostatistics, Harvard T.H. Chan School of Public Health
Email: mstraczkiewicz@hsph.harvard.edu

I received my master’s degree in Digital Signal and Image Processing from Cranfield University, U.K. and a doctoral degree in Automatics and Robotics from AGH University of Science and Technology in Krakow, Poland. My research is focused on developing novel statistical methods for quantification of human movements using wearable devices, primarily accelerometers and smartphones.

Graduate Students

Josh Barback
Doctoral Student, Department of Biostatistics, Harvard University
Email: barback@fas.harvard.edu

I’m a fourth-year student in the Biostatistics Ph.D. program.  Prior to enrolling in the program, I received bachelor’s degrees in mathematics from Harvard College and in psychology from the University at Buffalo.  My current research is in digital phenotyping, with a focus on statistical methods for understanding physical activity using smartphone accelerometer data.

Patrick Emedom-Nnamdi
Doctoral Student, Department of Biostatistics, Harvard University
Email: PatrickEmedom@g.harvard.edu

I’m a doctoral student in the Department of Biostatistics with an interest in smartphone-based digital phenotyping and mobile health. Prior to joining the Onnela lab, I received a bachelor’s degree in Mathematical Biology from the University of Pennsylvania. At Penn, I worked under the direction of Dr. Michael Levy in order to construct statistical models aimed at disrupting the spread of vector-borne diseases. My current research within the Onnela Lab focuses on estimating recovery trajectories for surgical patients and assessing optimal recovery strategies.

Hali Hambridge
Doctoral Student, Department of Biostatistics, Harvard University
Email: hhambridge@g.harvard.edu

I’m a doctoral student in the Department of Biostatistics interested in network science. Prior to joining the department, I worked for several years as a statistical analyst, exploring novel ways to effectively deliver care to high-risk patients, to appropriately measure hospital performance, and to administer free and reduced-price meals to school students. I also completed fellowships at the National Institutes of Health and the Food and Drug Administration. I obtained my bachelor’s degree in biometry and statistics from Cornell University, as well as master’s degrees in epidemiology and biostatistics from Johns Hopkins University.

Jonathan Larson
Doctoral Student, Department of Biostatistics, Harvard University
Email: jlarson01@g.harvard.edu

Prior to joining the Onnela Lab, I received a bachelor’s degree in psychology from Yale University and a master’s degree in biostatistics from the University of California at Berkeley. I was also a Peace Corps volunteer in Senegal. Currently, my research focuses on the evolution of networks over time. In one project, we created a model for how HIV can be transmitted among men who have sex with men (MSM) based on the venues (both brick-and-mortar and online) where they meet their sex partners. The model leads to a natural estimator of risk of infection.

Greyson Liu
Doctoral Student, Department of Biostatistics, Harvard University
Email: gang_liu@g.harvard.edu

I received a bachelor’s degree in statistics from Renmin University of China and a master’s degree in biostatistics from University of Michigan. Currently, I am doing research in digital phenotyping, specifically, imputations of missing GPS trajectories using sparse online Gaussian Process, online anomaly detections on communication logs and accelerometer data, and natural language processing (NLP) on text messages.

Lab Affiliates

Heather Mattie, P.h.D.
Instructor, Department of Biostatistics, Harvard University
Email: hemattie@hsph.harvard.edu

Heather Mattie is Instructor of Data Science and the executive director of the Health Data Science Masters program at the Harvard T.H. Chan School of Public Health. She completed her doctorate degree in Biostatistics at Harvard University, and master’s and bachelor’s degrees in Mathematics from Claremont Graduate University and the University of La Verne. Her research interests include tie strength estimation and prediction, network data imputation, and estimating the impact of local neighborhoods on the spread of disease.

 

Joel Salinas, M.D., M.B.A.
Behavioral Neurology and Neuropsychiatry Fellow, Departments of Neurology and Psychiatry, Massachusetts General Hospital, Harvard Medical School

I am a neurologist with clinical expertise in behavioral neurology and neuropsychiatry and research training in epidemiology and social determinants of neurologic disease outcomes.  My long-term goal is to develop and deploy strategies to prevent the development of devastating chronic brain disease.  My work in the lab focuses on investigating predictors and modifiable risk factors of age-related neurologic disease and its sequelae using social networks from large epidemiologic cohorts.  After graduating from Cornell University, I completed medical school at the University of Miami Miller School of Medicine followed by a neurology residency at the Massachusetts General Hospital and the Brigham and Women’s Hospital and completing a fellowship in Behavioral Neurology and Neuropsychiatry at Massachusetts General Hospital.

 

Linda Valeri, P.hD.
Assistant Professor of Biostatistics, Columbia University Mailman School of Public Health
Adjust Assistant Professor of Epidemiology, Harvard T.H. Chan School of Public Health
My research centers on causal inference with a focus on statistical methods to investigate mediating mechanisms and causal interaction in longitudinal data arising from mobile health studies. Furthermore, I develop statistical approaches for measurement error correction, missing data imputation and more generally for bias analyses in observational studies.

Kori Zachrison, MD, MSc
Assistant Professor of Emergency Medicine at Massachusetts General Hospital and Harvard Medical School
Email: kzachrison@partners.org

I am Assistant Professor of Emergency Medicine at Massachusetts General Hospital and Harvard Medical School. In addition to my clinical practice, I am a health services researcher currently funded by a K08 from the Agency for Healthcare Research and Quality. My work focuses on stroke systems of care, including applications of network science to stroke systems, and is mentored by Dr. Onnela.

Alumni

John T

John Torous, M.D.
Resident Physician in the Department of Psychiatry, Brigham and Women’s and Beth Israel Deaconess Medical Center, Harvard Medical School
Email: jtorous@bidmc.harvard.edu

Ian Barnett
Assistant Professor, Department Biostatistics and Epidemiology, University of Pennsylvania, School of Medicine
Email: ibarnett@mail.med.upenn.edu

Sixing Chen
Former Postdoctoral Research Fellow, Department of Biostatistics, Harvard T.H. Chan School of Public Health
Email: sixingchen@hsph.harvard.edu

Clare

Clare Rosenfeld Evans
Faculty Fellow, Department of Sociology, University of Oregon
Email: cevans@uoregon.educevans@mail.harvard.edu

Seth

Seth Greenwood
Former Master’s Student, Department of Biostatistics, Harvard T.H. Chan School of Public Health
Email: sdg163@mail.harvard.edu

Guy

Guy Harling (joined with Till Bärnighausen)
Former Postdoctoral Research Fellow, Department of Global Health and Population, Harvard T.H. Chan School of Public Health
Email: gharling@hsph.harvard.edu

Emily Huang
Assistant Professor, Wake Forest University
Email: huange@wfu.edu

Felipe Montes pic

Felipe Montes Jiménez
Ceiba Complex Systems Research Center (Colombia)
Email: felipemontesj@gmail.com

xiaoyuliXiaoyu Li
PhD in Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health
Email: xil288@mail.harvard.edu

Jeffrey Lienert
NIH OxCam Scholars Program (D.Phil in Network Science at Oxford University)
Email: jpl091@mail.harvard.edu

 

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Jeanette Lorme
MD Candidate at Rush Medical College
Email: jeanette.lorme@gmail.com

Reiko

 Reiko Nishihara
Postdoctoral Research Fellow at Dana-Farber Cancer Institute, Harvard Medical School, and Harvard T.H. Chan School of Public Health
Email: rnishiha@hsph.harvard.edu

 

Juan Fernández-Gracia (joined with Caroline Buckee)
Former Postdoctoral Research Fellow, Department of Biostatistics and Department of Epidemiology, Harvard T.H. Chan School of Public Health
Email: juanfernandez1984@gmail.com

 

Alison Hwong
MD-PhD Candidate, Harvard Medical School and Graduate School of Arts of Sciences, PhD Program in Health Policy
Email: alison_hwong@hms.harvard.edu

David Kim

David Kim
MD/PhD Candidate, Harvard Medical School and Graduate School of Arts and Sciences
Email: david_kim@hms.harvard.edu

Matt

Mathew Kiang
Ph.D. in Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health
Email: mkiang@mail.harvard.edu

 

Fei Li
Ph.D., Department of Biostatistics, Harvard University
Email: fli@fas.harvard.edu

Eric

Eric J. Ma
Runstadler Lab, Biological Engineering, MIT
Email: ericmjl@mit.edu

Flora 2

Flora Or
Ph.D., Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health
Email: jfo256@mail.harvard.edu

Patrick Staples
Ph.D. and Postdoctoral Research Fellow, Department of Biostatistics, Harvard T.H. Chan School of Public Health
Email: ctphoenix@gmail.com