John Bailer is university distinguished professor and founding chair of the Department of Statistics at Miami University in Oxford, Ohio. He is currently President-elect of the International Statistical Institute, and he will serve as ISI President starting in August 2019. He previously served on the Board of Directors of the American Statistical Association. His research has focused on a breadth of collaborations addressing problems in toxicology, environmental health and occupational safety. He collaborates with journalists to produce the podcast Stats+Stories. He is a Fellow of the American Statistical Association, the Society for Risk Analysis and the American Association for the Advancement of Science. He received a Ph.D. in Biostatistics from the University of North Carolina at Chapel Hill and was a staff fellow at the National Institute of Environmental Health Sciences before joining the faculty at Miami University.
Scott Berinato, self-professed dataviz geek, is the author of Good Charts: The HBR Guide to Making Smarter, More Persuasive Data Visualizations, and Good Charts Workbook. Fast Company said of Good Charts, “It may just be the design manual of the year.” Presentation guru Nancy Duarte called Good Charts “the book I wish I’d written.” Berinato speaks frequently on the power and necessity of good data visualization—including three consecutive year presenting at SXSW in Austin, Texas—and has worked with many companies and individuals to up their dataviz game. He is also an award-winning writer and a senior editor at Harvard Business Review, where he writes and edits articles about visualization, data science, and technology and business, and is a content architect responsible for several innovations in publishing. He is a graduate of the Medill School of Journalism at Northwestern University and the University of Wisconsin-Madison.
David Blei is a Professor of Statistics and Computer Science at Columbia University, and a member of the Columbia Data Science Institute. He studies probabilistic machine learning, including its theory, algorithms, and application. David has received several awards for his research. He received a Sloan Fellowship (2010), Office of Naval Research Young Investigator Award (2011), Presidential Early Career Award for Scientists and Engineers (2011), Blavatnik Faculty Award (2013), ACM-Infosys Foundation Award (2013), and a Guggenheim fellowship (2017). He is the co-editor-in-chief of the Journal of Machine Learning Research. He is a fellow of the ACM and the IMS.
Stephen Blyth is Professor of the Practice of Statistics at Harvard University, and winner of the Phi Beta Kappa prize for excellence in teaching. His book, An Introduction to Quantitative Finance, was published by Oxford University Press. Dr. Blyth was previously President and CEO of the Harvard Management Company, responsible for managing the University’s endowment. He joined HMC in 2006 as head of international fixed income, and subsequently held roles as head of internal management and public markets. Before joining HMC, Dr. Blyth was Managing Director and head of global rates proprietary trading at Deutsche Bank, and Managing Director at Morgan Stanley. Dr. Blyth earned a PhD in statistics from Harvard University at age 24, and an MA in mathematics with first class honors from Christ’s College, Cambridge, where he was Third Wrangler. After Harvard, he was a lecturer in mathematics at Imperial College, London.
Philip E. Bourne
Philip E. Bourne, PhD, FACMI is the Stephenson Chair of Data Science, Director of the Data Science Institute and a Professor in the Department of Biomedical Engineering at the University of Virginia. Prior to that he was the Associate Director for Data Science (ADDS; aka Chief Data Scientist) for the National Institutes of Health (NIH) and a Senior Investigator at the National Center for Biotechnology Information (NCBI). In his role as ADDS he led the trans NIH US $110M per year Big Data to Knowledge (BD2K) research initiative and contributed to data policies and infrastructure aimed at accelerating biomedical discovery. Examples include: establishing the NIH Commons, support for data and software citation and establishing preprints as a supported form of research. He has published over 350 papers and 5 books and co-founded 4 companies. His current research focuses on systems pharmacology (notably neglected tropical diseases and protein kinase targets), structural bioinformatics, scholarly communication, professional development and the development and application of data science methods.
Rodney Brooks is the Panasonic Professor of Robotics (emeritus) at MIT, where he was for ten years the director of the Artificial Intelligence Lab and then the Computer Science and Artificial Intelligence Lab (CSAIL) until 2007. After undergraduate and masters degrees in mathematics in Australia he received a PhD in computer science from Stanford in 1981, was a post doc at CMU and MIT, and a faculty member at Stanford, before joining the MIT faculty in 1984. His research areas have been in machine learning, computer vision, robotics, AI, and Artificial Life. He was co-founder, CTO and Chairman of iRobot in 1990 and of Rethink Robotics in 2008. He is a member of the National Academy of Engineering, the American Academy of Arts and Sciences, and a Fellow of IEEE, ACM, AAAI, and AAAS.
Cathy Chute is the Executive Director of the Institute for Applied Computational Science and Assistant Dean for Professional Programs at the Harvard Paulson School of Engineering and Applied Science(SEAS). Cathy's work at IACS, home to two master’s programs in data science and computational science, focuses on growing IACS connections to industry partners and collaborators across the university. She is also responsible for developing new professional executive programs at SEAS. Cathy was previously the Publisher of Harvard Magazine as well as the Executive Director of the Ivy League Magazine Network. Prior to coming to Harvard, Cathy was a director of new business development at the New York Times.
David Cox studied Mathematics at University of Cambridge. He then worked for six years in government or semi-government research laboratories connected with the aeronautical industry and later the wool industries. Then he held academic posts at Cambridge (Statistical Laboratory) and Chapel Hill (biostatistics) with shorter term appointments at Princeton and Berkeley. On returning to UK he was at Birkbeck College, University of London and then for 20 years at Imperial College of Science and Technology, Department of Mathematics. In 1988 he became Warden, Nuffield College, Oxford and since 1994 has been retired. His past and current research interests span a number of areas of applied and theoretical statistics.
Mercè Crosas is the Chief Data Science and Technology Officer at the Institute for Quantitative Social Science (IQSS) at Harvard University. She has more than 10 years of experience leading the Dataverse project and more than 15 years of experience building data management and analysis systems in academia and biotechnology companies. She is part of numerous committees and working groups focused on data sharing, research data management, data citation, and data standards. Crosas is co-PI of the Dataverse Project, with IQSS director Gary King, and supervises the Consilience project for text analysis, the Data Science Services, and Data Curation team at IQSS. She collaborates with a wide range of data related projects, including the NIH Data Commons, Harvard Privacy Tools, DataTags, Data Provenance, the Structural Biology Grid Data , Cloud Dataverse with the Massachusetts Open Cloud, and the Boston Area Research Initiative, among others. Crosas holds a Ph.D. in Astrophysics and a B.S. in Physics.
Francesca Dominici is Clarence James Gamble Professor of Biostatistics, Population and Data Science 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.
Chris Franklin is the K-12 Statistics Ambassador for the American Statistical Association, an ASA Fellow, and University of Georgia Emerita Statistics faculty. She is the co-author of two statistics textbooks and has published more than 60 journal articles and book chapters. Chris was the writing chair for ASA policy documents (Pre-K-12 GAISE and the Statistical Education of Teachers), and writer for the recent NCTM policy document Catalyzing Change. She is a past Chief Reader for Advance Placement Statistics, a Fulbright scholar to New Zealand (2015), recipient of the United States Conference on Teaching Statistics (USCOTS) Lifetime Achievement Award, the prestigious ASA Founder’s award and an elected member of the International Statistical Institute (ISI). Chris loves being with her family, running, hiking, scoring baseball games, and reading mysteries.
Andrew Gelman is a professor of statistics and political science and director of the Applied Statistics Center at Columbia University. He has received the Outstanding Statistical Application award from the American Statistical Association, the award for best article published in the American Political Science Review, and the Council of Presidents of Statistical Societies award for outstanding contributions by a person under the age of 40. Andrew has done research on a wide range of topics, including: why it is rational to vote; why campaign polls are so variable when elections are so predictable; why redistricting is good for democracy; reversals of death sentences; police stops in New York City, the statistical challenges of estimating small effects; the probability that your vote will be decisive; seats and votes in Congress; social network structure; arsenic in Bangladesh; radon in your basement; toxicology; medical imaging; and methods in surveys, experimental design, statistical inference, computation, and graphics.
Liz Langdon-Gray is the inaugural Executive Director of the Harvard Data Science Initiative (DSI). In this role, she is responsible for implementing the academic vision of the Initiative, engaging closely with Harvard schools and the Office of the President and Provost. Liz oversees the management of the DSI’s operations and programmatic priorities, including the postdoctoral fellows program, the DSI Competitive Research Fund, seminars and workshops, and the Harvard Data Science Review. She fosters research collaborations through outreach efforts both within the University and with external partners, and leads the Initiative’s corporate engagement activities, establishing the DSI's Corporate Membership Program in 2018.
For more information, see the Data Science Initiative webpage.
Maja Mataric is the Chan Soon-Shiong Distinguished Professor of Computer Science, Neuroscience, and Pediatrics at the University of Southern California, founding director of the USC Robotics and Autonomous Systems Center and her Interaction Lab. She received a PhD and MS from MIT and BS from the University of Kansas. She is Fellow of AAAS, IEEE, and AAAI, and recipient of the Presidential Award for Excellence in Science, Mathematics and Engineering Mentoring, Anita Borg Institute Women of Vision Award in Innovation, NSF Career, MIT TR35 Innovation, and IEEE RAS Early Career Awards. A pioneer of the field of socially assistive robotics, her research enables robots to use human-robot interaction to aid in therapy, rehabilitation, training, and education and has been validated with children with autism, stroke survivors, Alzheimer's patients and other populations. She is also very involved in K-12 STEM outreach and mentoring of women and other under-represented groups.
Brendan McCord is President of Tulco Labs and EVP of Tulco, a holding company that seeks to transform static industries using AI. Previously, Brendan was founding Chief Architect of the U.S. Department of Defense Joint AI Center and was primary author of the first DoD AI Strategy. As Head of Machine Learning at the Defense Innovation Unit, Brendan led the creation of the largest open dataset for detecting objects from overhead imagery and oversaw the release of open source software that set the world speed record for training deep neural nets on public cloud infrastructure. Before DoD, Brendan led a team of deep learning researchers and engineers at a startup backed by Bill Gates, In-Q-Tel, and premier VCs. He served in the U.S. Navy as a submarine officer, spending 600+ days underwater. Brendan is Adjunct Senior Fellow at Center for New American Security, tech advisor to the National Security Commission on AI and Commanding General of U.S. Special Operations Command, and Term Member of Council on Foreign Relations. He holds an SB from MIT and an MBA from HBS.
Antonietta Mira is professor of statistics, founder and director of the Data Science Lab at Università della Svizzera Italiana, where she served as the Vice-Dean in the Faculty of Economics (2013-2015). She is also part-time professor of statistics at Università dell'Insubria, is a fellow of the Istituto Lombardo Accademia di Scienze e Lettere, a fellow of the International Society for Bayesian Analysis (ISBA), a visiting fellow of the Isaac Newton Institute for Mathematical Sciences at Cambridge University (2014 and 2016) and has been a visiting professor at Université Paris-Dauphine, University of Western Australia, Queensland University of Technology, Brisbane, and University of Bristol, UK. She has won awards for excellence in both research and teaching. She is the principal investigator on several projects at the Swiss National Science Foundation and a member of multiple scientific committees representing her areas of expertise: Bayesian statistical models and efficient Monte Carlo simulation algorithms and theory.
Cathy O’Neil earned a Ph.D. in math from Harvard, was a postdoc at the MIT math department, and a professor at Barnard College where she published a number of research papers in arithmetic algebraic geometry. She then switched over to the private sector, working as a quant for the hedge fund D.E. Shaw in the middle of the credit crisis, and then for RiskMetrics, a risk software company that assesses risk for the holdings of hedge funds and banks. She left finance in 2011 and started working as a data scientist in the New York start-up scene, building models that predicted people’s purchases and clicks. She wrote Doing Data Science in 2013 and launched the Lede Program in Data Journalism at Columbia in 2014. She is a regular contributor to Bloomberg View and wrote the book Weapons of Math Destruction: how big data increases inequality and threatens democracy. She recently founded ORCAA, an algorithmic auditing company.
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.
Nancy Potok is the Chief Statistician of the United States, directing statistical and science policy at the US Office of Management and Budget in the Executive Office of the President and leading the U.S. statistical community internationally. Dr. Potok has over 30 years of leadership experience in the public, non-profit, and private sectors. She served as Deputy Director and Chief Operating Officer, as well as CFO, of the U.S. Census Bureau and Deputy Under Secretary for Economic Affairs at the US Department of Commerce; Senior Vice President for Economic, Labor, and Population Studies at NORC at the University of Chicago; and Chief Operating Officer at McManis & Monsalve Associates, a business analytics consulting firm. She was appointed as a Commissioner on the congressionally chartered Commission on Evidence-based Policy Making, which submitted its recommendations and report to Congress and the President in September 2017. Dr. Potok is an adjunct professor at the Trachtenberg School of Public Policy and Public Administration at The George Washington University. She is the recipient of the Presidential Rank Award, the Secretary of Commerce Gold Medal and Silver Medals for outstanding achievements, the Arthur S. Flemming Award, the Enterprise Risk Manager of the Year Award given by the Association for Federal Enterprise Risk Management, and the Distinguished Alumni Award from The George Washington University. Dr. Potok is an elected Fellow of the National Academy of Public Administration (NAPA) and serves on the Board of Trustees for the Institute of Pure and Applied Mathematics at UCLA. She received her Ph.D. in public policy and public administration at The George Washington University.
Arvind Satyanarayan is an NBX Career Development Assistant Professor of Computer Science in the MIT EECS department and a member of CSAIL. He leads the MIT Visualization Group which uses data visualization as a petri dish to study intelligence augmentation (IA), or how software systems help amplify our cognition and creativity while respecting our agency. Visualization toolkits and systems he has helped develop have won awards at premier academic venues, and have been broadly adopted within the data science community (including Jupyter and Observable) as well as industry (including at Apple, Google, and Microsoft). Arvind earned his BS in Computer Science at UC San Diego, his MS and PhD in Computer Science at Stanford University, and spent a year at Google Brain as a Postdoctoral Research Scientist. He is also a co-editor of Distill.pub, a new interactive academic journal for machine learning research devoted to clear, broadly accessible communication and non-traditional contribution types.
Katherine (Katie) Shah is a magna cum laude graduate in math and philosophy from Duke University, she has an MBA from Stanford, attended the Graduate School of Arts and Sciences at Harvard, and studied for an MFA at Christie’s Education in London. For a dozen years Katie worked on special projects for the president of the Metropolitan Museum of Art. These projects included evaluating business opportunities, analyzing customer data, identifying both cost and revenue areas for margin improvement, and creating and editing presentations for the Board of Trustees. The last several years Katie has been raising her four kids full time and volunteering with their schools and other organizations. She has been a member of the Harvard Graduate School of Education Dean’s Council as well as the Dean’s Council for Harvard’s Graduate School of Arts and Sciences. She is now beginning to look at some consulting projects as two of her kids are in college. She and her husband, Dhiren Shah and their children live in New York City.
Lara Schmidt directs the Strategy, Policy, and Operations Program within the Homeland Security Operational Analysis Center (HSOAC). She manages a research portfolio for DHS using methods such as data science and modeling, strategic planning, operations analysis, risk analysis, and expert elicitation. Over her career, Schmidt has focused on national security issues including: cybersecurity; cyber effects estimation; integration of cyber operations into campaign plans; threats to military missions and the associated risk to the warfighter; target development practices; approaches to resilient space operations; special operations and irregular warfare; and formalizing data collection to support planning for cyber operations. Schmidt serves on the Air Force Scientific Advisory Board and as a referee for several technical journals. She has held leadership positions with the American Statistical Association, including serving as the Chair of the Section on Statistics in Defense and National Security. Lara holds B.S. and M.S. degrees in mathematics and a Ph.D. in mathematical statistics.
David Spiegelhalter is a statistician with a background is in Bayesian statistics. He jointly developed the Lauritzen-Spiegelhalter algorithm for exact evidence propagation in Bayesian networks, and then led the team behind the BUGS software for MCMC analysis of Bayesian models. He is now Chair of the Winton Centre for Risk and Evidence Communication in the University of Cambridge, which aims to improve the way that statistical evidence is used by health professionals, patients, lawyers and judges, media and policy-makers. He has over 200 refereed publications and is co-author of 6 textbooks, as well as The Norm Chronicles (with Michael Blastland), Sex by Numbers, and The Art of Statistics. He works extensively with the media, and presented the BBC4 documentaries ‘Tails you Win: the Science of Chance” and the award-winning “Climate Change by Numbers”. He was elected Fellow of the Royal Society in 2005, knighted in 2014 for services to medical statistics, and was President of the Royal Statistical Society for 2017-2018.
Dustin Tingley 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.
Hal R. Varian is the Chief Economist at Google. He started in May 2002 as a consultant and has been involved in many aspects of the company, including auction design, econometric analysis, finance, corporate strategy and public policy. He is also an emeritus professor at the University of California, Berkeley in three departments: business, economics, and information management. He received his SB degree from MIT in 1969 and his MA in mathematics and Ph.D. in economics from UC Berkeley in 1973. He has also taught at MIT, Stanford, Oxford, Michigan and other universities around the world. Dr. Varian is a fellow of the Guggenheim Foundation, the Econometric Society, and the American Academy of Arts and Sciences. He was Co-Editor of the American Economic Review from 1987-1990 and holds honorary doctorates from the University of Oulu, Finland and the University of Karlsruhe, Germany.
Gaurav serves as the managing director for LabXchange, an online science education platform aimed at facilitating the discovery and authentic experience of the scientific process. Gaurav is also the founder and executive director of Wireless Philosophy, an online platform aimed at introducing people to the practice of philosophy and critical thinking. Gaurav earned his Bachelors in Philosophy at Rutgers University and his M. Phil from Yale University.
Ronald L. Wasserstein
Ron Wasserstein has served as the executive director of the American Statistical Association (ASA) since August 2007. In this role, he provides executive leadership and management for the association and is responsible for ensuring that the ASA fulfills its mission to promote the practice and profession of statistics. Wasserstein joined the association in 1983 and has been active as a volunteer and held leadership positions in multiple chapters and sections. Prior to joining the ASA, Wasserstein was a mathematics and statistics department faculty member and administrator at Washburn University in Topeka, Kan., from 1984–2007. During his last seven years at the school, he served as the university’s vice president for academic affairs. Wasserstein is a Fellow of the ASA and American Association for the Advancement of Science. He was presented the John Ritchie Alumni Award and Muriel Clarke Student Life Award from Washburn University and the Manning Distinguished Service Award from the North American Association of Summer Schools.
Herbert Winokur Jr.
Herbert S. "Pug" Winokur, Jr. has been Chairman and CEO of Capricorn Holdings, Inc., since 1987, and the managing partner of partnerships which invest in, or acquire, companies with the potential for long-term capital appreciation. He currently is an investor in a number of growth equity companies in the energy, defense and technology sectors. Over his career, he held leadership positions at Penn Central Corporation and served three years as a U.S. Army officer in the Office of the Secretary of Defense. Winokur is a co-Founder and former Chairman of ICF Inc., a management consulting firm specializing in policy planning for senior government and business officials, a member of the Council of Foreign Relations, a board member of Ithaka Harbors, Inc. and of Squash Haven (which he co-founded). He holds a PhD from Harvard in Decision and Control Theory and served on the Harvard Corporation.
Jeannette M. Wing is Avanessians Director of the Data Science Institute and Professor of Computer Science at Columbia University. From 2013-2017 she was a Corporate Vice President of Microsoft Research. She is Consulting Professor of Computer Science at Carnegie Mellon University where she twice served as the Head of the Computer Science Department and had been on the faculty since 1985. From 2007-2010 she was the Assistant Director of the Computer and Information Science and Engineering Directorate at the National Science Foundation. She received her S.B., S.M., and Ph.D. degrees in Computer Science, all from MIT. Wing’s research interests are in trustworthy computing, with a current focus on trustworthy AI. She serves on 13 editorial boards and many academic, industry, and government advisory boards. She received the Distinguished Service Award from both the CRA and ACM. She is a Fellow of the American Academy of Arts and Sciences, AAAS, ACM, and IEEE.
Marjorie Yang is the Chairman of Esquel Group, a leading Hong Kong-based textile and apparel manufacturer with operations throughout the world. Marjorie serves as Chairman of the Seoul International Business Advisory Council (SIBAC). She is also a Hong Kong, China representative to APEC Business Advisory Council (ABAC), and a member of Chief Executive’s Council of Advisers on Innovation and Strategic Development. Marjorie is the Co-chairman of the advisory board of Computer Science and Artificial Intelligence Lab (CSAIL) at MIT and the Chairperson of the Steering Committee of CoolThink@JC. She also serves as a member of various advisory boards including Harvard University, Harvard Business School, MIT Work of the Future, MIT Sloan, Tsinghua University’s School of Economics & Management and served as Council Chariman of the Hong Kong Polytechnic University. Marjorie is an Independent Non-executive Director for The Hong Kong and Shanghai Banking Corporation Limited (Asia Pacific).