Francesca Dominici is Professor of Biostatistics at the Harvard T.H. Chan School of Public Health and co-Director of the Harvard Data Science Initiative.
Her research focuses on the development of statistical methods for the analysis of large and complex data; she leads several interdisciplinary groups of scientists with the ultimate goal of addressing important questions in environmental health science, climate change, comparative effectiveness research in cancer, and health policy. Currently, Dominici’s team uses satellite data and multiple data sources to estimate exposure to air pollution in rural areas in the US, in India, and in other developing countries. Her studies have directly and routinely impacted air quality policy and led to more stringent ambient air quality standards in the United States.
Dominici was recognized on the Thomson Reuters 2015 Highly Cited Researchers list, ranking in the top 1 percent of scientists cited in her field. In 2017, she was named one of the top 10 Italian women scientists with the largest impact in biomedical sciences across the world. In addition to her research interests and administrative leadership roles, Dominici has demonstrated a career-long commitment to promoting diversity in academia. For her contributions, she has earned the Jane L. Norwood Award for Outstanding Achievement by a Woman in the Statistical Sciences and the Florence Nightingale David Award. Dominici currently chairs the University Committee for the Advancement of Women Faculty at the Harvard T.H. Chan School of Public Health. Prior to Harvard, she was on the faculty of the Johns Hopkins Bloomberg School of Public Health, where she also co-chaired the University Committee on the Status of Women. Dominici has degrees from University La Sapienza and University of Padua.
David C. Parkes is the George F. Colony Professor of Computer Science in the Paulson School of Engineering and Applied Sciences and co-Director of the Harvard Data Science Initiative.
He is faculty co-lead for planning the expansion of the Paulson school into the Allston campus, and co-director of the Harvard/2u Business Analytics certificate program. He founded the EconCS research group, which pursues work in artificial intelligence, machine learning, and economics. His research focuses on the design of incentive-aligned,multi-agent systems, and envisions a future where economic transactions are mediated by automated software agents. Together with students and colleagues, he has designed novel mechanisms for combinatorial auctions, planning, and information elicitation. These methods consider complex and competing interests in promoting optimal solutions, and find application throughout the digital economy, including to problems of pricing, matching, personalization and reputation. In recent work he has pioneered the use of machine learning for the automated design of revenue optimal auctions that have defied theoretical analysis. He teaches in both applied mathematics and computer science, including courses on machine learning, artificial intelligence, and optimization.
Parkes served on the inaugural panel of the "Stanford 100 Year Study on Artificial Intelligence," co- organized the 2016 OSTP Workshop on "AI for Social Good," and served as chair of the ACM Special Interest Group on Electronic Commerce (2011–16). Parkes is Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), and recipient of the 2017 ACM/SIGAI Autonomous Agents Research Award, the NSF Career Award, the Alfred P. Sloan Fellowship, the Thouron Scholarship, and the Roslyn Abramson Award for Teaching. Parkes has degrees from the University of Oxford and the University of Pennsylvania, serves on several international scientific advisory boards, and has been a technical advisor to a number of start-ups.