HDSI Faculty Affiliates

About Faculty Affiliates

The Harvard Data Science Initiative (HDSI) Affiliates Program supports Harvard faculty who are actively engaged in advancing data science methodologies and applications or data science teaching. The Program seeks to foster collaboration between methodologically- and domain-focused researchers, strengthen the Harvard data science community, and amplify the impact of data science beyond the University.

The Program supports Affiliates by convening networking sessions, seminars, workshops, and tutorials; providing opportunities for research funding; facilitating engagement with industry; and promoting data science research. The Program also offers Affiliates an opportunity to shape the future of data science at Harvard through participation in strategic planning activities and service on governance committees. As the Initiative grows, so too will the benefits to Affiliates.

Affiliate Benefits

  • Networking opportunities with other HDSI Affiliates
  • Can state HDSI affiliation in publications (“and Affiliate, Harvard Data Science Initiative”)
  • Inclusion on HDSI website and other communications
  • Inclusion in the HDSI faculty profiles portal (under development)
  • Opportunities for engagement and collaboration with HDSI Corporate Members
  • Complimentary print subscription to the Harvard Data Science Review

Becoming a Faculty Affiliate

Requirements for Membership

All Harvard full-time faculty who hold PI rights, with a demonstrated commitment to data science research – including both methodologically-oriented and applications-oriented research – or teaching are encouraged to apply and can do so by filling out this short application form.

We will also invite any faculty member who hosts an HDSI Postdoctoral Fellow, receives funding from the HDSI, or serves on an HDSI committee to become an HDSI Affiliate.

Affiliates are appointed to a renewable two‐year term. Renewing members are encouraged to demonstrate some engagement with activities of the Initiative in the year prior to renewal. Some examples are:

  • Attended HDSI seminars, workshops, or networking events
  • Hosted an HDSI postdoctoral fellow
  • Received funding from the HDSI
  • Served on an HDSI committee
  • Participated in, or attended, an event convened by the HDSI, for example a panel, a workshop, roundtable discussion, or networking event
  • Provided Service to the Harvard Data Science Review

Mauricio Santillana

Assistant Professor
Harvard Medical School

Mauricio Santillana is an Assistant Professor at Harvard Medical School, a faculty member in the Computational Health Informatics Program at Boston Children’s Hospital, and an associate at the Harvard Institute for Applied and Computational Sciences. Mauricio enjoys working with clinicians in the design of decision-making support tools.... Read more about Mauricio Santillana


Dustin Tingley

Professor of Government
Department of Government
Harvard Faculty of Arts and Sciences
Dustin Tingley is Professor of Government in the Government Department at Harvard University. Dustin is Deputy Vice Provost for Advances in Learning, Faculty director for the Vice Provost for Advances in Learning Research Group (Harvard higher education data science group), and Faculty director for the Harvard Initiative on Learning and Teaching. He received a PhD in Politics from Princeton in 2010 and BA from the University of Rochester in 2001. His research interests include international relations, international political economy, statistical methodology, and experimental approaches to political science. His book on American foreign policy, Sailing the Water's Edge, was published in fall 2015, and was awarded the Gladys M. Kammerer Award for the best book published in the field of U.S. national policy. Recent projects include attitudes towards global climate technologies and policies, and the intersection of causal inference and machine learning methods for the social sciences.

David Yang

Assistant Professor
Department of Economics
Harvard Faculty of Arts and Sciences
David Yang’s research focuses on political economy, behavioral and experimental economics, economic history, and cultural economics. In particular, David studies the forces of stability and forces of changes in authoritarian regimes, drawing lessons from historical and contemporary China. David received a B.A. in Statistics and B.S. in Business Administration from University of California at Berkeley, and PhD in Economics from Stanford.
Kun-Hsing Yu

Kun-Hsing Yu

Assistant Professor
Department of Biomedical Informatics
Harvard Medical School
Kun-Hsing "Kun" Yu, MD, PhD is an Assistant Professor in the Department of Biomedical Informatics at Harvard Medical School. He integrates cancer patients' multi-omics (genomics, epigenomics, transcriptomics, and proteomics) profiles with quantitative histopathology patterns to predict their clinical phenotypes. He developed the first fully automated algorithm to extract thousands of features from whole-slide histopathology images, discovered the molecular mechanisms underpinning the microscopic phenotypes of tumor cells, and successfully identified previously unknown cellular morphologies associated with patient prognosis. Dr. Yu's research interests include quantitative pathology, machine learning, and translational bioinformatics.

Xiang Zhou

Associate Professor of Sociology
Department of Sociology
Harvard Faculty of Arts and Sciences
Xiang Zhou is an associate professor in the Department of Sociology at Harvard University. He is also a faculty affiliate at the Weatherhead ... Read more about Xiang Zhou

Marinka Zitnik

Assistant Professor
Department of Biomedical Informatics
Harvard Medical School

Marinka Zitnik is a computer scientist who studies applied machine learning with a focus on challenges brought forward by data in science, medicine, and health. Before joining Harvard, Dr. Zitnik was a postdoctoral scholar in Computer Science at Stanford and a member of the Chan Zuckerberg Biohub. She was named a Rising Star in EECS by MIT and a Next Generation in Biomedicine by The Broad Institute, being the only young scientist who received such recognition in both EECS and Biomedicine.... Read more about Marinka Zitnik

Jose Zubizarreta

Associate Professor
Department of Health Care Policy
Harvard Medical School
Jose Zubizarreta, PhD, is an Associate Professor in the Department of Health Care Policy (HCP) at Harvard Medical School and a Faculty Affiliate in the Department of Statistics at the Faculty of Arts and Sciences at Harvard University. His work centers on the development of statistical methods for causal inference and impact evaluation to advance research in health care and public policy. In his methodological work, Dr. Zubizarreta develops new methods for the design and analysis of experimental and observational studies. In his health care work, he is interested in assessing the quality of care provided by hospitals and physicians using health outcomes and operations measures. His research interests also encompass comparative effectiveness research and health program impact evaluation.
  • «
  • 2 of 2