Co-Director of the Harvard Data Science Initiative

In her current role as co-director of the Data Science Initiative at Harvard University, Dr. Dominici is building on the collaborations that already exist across the University to foster a rich and cohesive data science community, bringing together scholars from across disciplines and schools. In addition to carrying out the academic plan of the initiative, she oversees the operations and distribution of seed funding and helps to raise funds to support its key programmatic activities.


Past Roles:

Senior Associate Dean for Research

The Harvard Chan School has a large and comprehensive research portfolio, spanning the behavioral, population and biological sciences. With research being conducted in nine academic departments and multiple school-wide research centers, faculty receive funding from a variety of federal and non-federal sources.

In her past role as Senior Associate Dean for Research from November 2013 to February 2017, Dr. Dominici led advancements to address institutional challenges, maximize opportunities, and optimize the health of the Harvard Chan School’s research enterprise. She oversaw the School’s Office of Research Strategy and Development (ORSD), which provides catalytic and strategic support for the School’s research. Dr. Dominici led ORSD’s flagship faculty grant-writing short course, and in addition to her own extensive research program, she provided scientific leadership in the submission of numerous proposals designed to advance the School’s and University’s scientific innovation.

Dr. Dominici’s key responsibilities included:

  • Increasing the competitiveness of the Harvard T.H. Chan School’s research enterprise by:
    1. Leading the Faculty Grant-Writing Short Course and other faculty research development programs, supports and workshops
    2. Providing support for large, cross-cutting interdisciplinary research opportunities
    3. Increasing faculty competitiveness for extramural support through seed funding programs, grant proposal development supports and faculty mentoring
    4. Managing limited submission opportunities, internal competitions and internal pilot awards
  • Overseeing the Assistant Dean for Regulatory Affairs and Research Compliance to support compliance activities
  • Building the technological capacities of Harvard Chan School researchers by strengthening research computing infrastructure and assisting faculty in transitioning to the Big Data environment in her role of Associate Dean for Information Technology
  • Identifying and cultivating funding opportunities by matching faculty interests with foundation and philanthropic donors and advancing the school’s research development agenda through coordination with the Office of External Relations (OER) and other research development partners
  • Providing University-wide leadership to advance Research Development initiatives and priorities

Associate Dean of Information Technology

Public Health, although interdisciplinary by nature, has evolved into a field that is rooted in data science. Nearly every major scientific revolution in history has been driven by one thing: data. Today, the availability of Big Data from a wide variety of sources is transforming health and biomedical research into an information science, where discovery is driven by our ability to effectively collect, manage, analyze, and interpret data.

As a biostatistician whose research focuses on analyzing large administrative data to estimate health outcomes for a variety of exposure variables, Dr. Dominici’s experience and expertise has positioned her to navigate the Big Data landscape in a way that allows faculty to effectively manage challenges and capitalize on opportunities related to Big Data.

In her past role as Associate Dean of Information Technology, Dr. Dominici led new initiatives to improve the research computing infrastructure at the Harvard Chan School. She worked closely with the senior leadership at the School of Public Health and the Faculty of Arts and Sciences (FAS) to execute a memorandum of understanding (MOU) to allow Chan School faculty, researchers, staff, and students to access the FAS Research Computing environment (Odyssey). Odyssey is Harvard’s largest supercomputer, spanning three data centers for a total of 9,641 square feet dedicated to compute. Access to this state-of-the-art computing cluster has transformed the research computing landscape at the Chan School, positioning the School at the forefront of the Big Data revolution and allowing Chan School faculty to pursue Big Data driven research that is pushing the frontiers of science. Learn more about research computing at the Harvard Chan School.