Xiao-Li Meng, the Whipple V. N. Jones Professor of Statistics, and the Founding Editor-in-Chief of Harvard Data Science Review, is well known for his depth and breadth in research, his innovation and passion in pedagogy, his vision and effectiveness in administration, as well as for his engaging and entertaining style as a speaker and writer. Meng was named the best statistician under the age of 40 by COPSS (Committee of Presidents of Statistical Societies) in 2001, and he is the recipient of numerous awards and honors for his more than 150 publications in at least a dozen theoretical and methodological areas, as well as in areas of pedagogy and professional development. He has delivered more than 400 research presentations and public speeches on these topics, and he is the author of “The XL-Files," a thought-provoking and entertaining column in the IMS (Institute of Mathematical Statistics) Bulletin. His interests range from the theoretical foundations of statistical inferences (e.g., the interplay among Bayesian, Fiducial, and frequentist perspectives; frameworks for multi-source, multi-phase and multi- resolution inferences) to statistical methods and computation (e.g., posterior predictive p-value; EM algorithm; Markov chain Monte Carlo; bridge and path sampling) to applications in natural, social, and medical sciences and engineering (e.g., complex statistical modeling in astronomy and astrophysics, assessing disparity in mental health services, and quantifying statistical information in genetic studies). Meng received his BS in mathematics from Fudan University in 1982 and his PhD in statistics from Harvard in 1990. He was on the faculty of the University of Chicago from 1991 to 2001 before returning to Harvard, where he served as the Chair of the Department of Statistics (2004-2012) and the Dean of Graduate School of Arts and Sciences (2012-2017).
Jennifer Chayes is Technical Fellow and Managing Director of Microsoft Research New England, New York City, and Montreal. She was previously a Professor of Mathematics at the University of California, Los Angeles. She is the author of over 140 academic papers and the inventor of over 30 patents. Her research areas include: phase transitions in computer science, structural and dynamical properties of networks, graph theory, graph algorithms, and computational biology. Chayes is one of the inventors of the field of graphons, which are widely used for the machine learning of large-scale networks. Her recent work focuses on machine learning, broadly defined, including applications in cancer immunotherapy, ethical decision making, and, most recently, climate change. Chayes is a Fellow of the American Association for the Advancement of Science, the Fields Institute, the Association for Computing Machinery, the American Mathematical Society, and the American Academy of Arts and Sciences. Chayes has received numerous leadership awards including the Anita Borg Institute Women of Vision of Award and the Mass Technology Leadership Council Distinguished Leader Award. She is the winner of the 2015 John von Neumann Lecture Award, the highest honor of the Society for Industrial and Applied Mathematics. Chayes received an Honorary Doctorate from Leiden University in 2016.
John Eltinge is the Assistant Director for Research and Methodology at the United States Census Bureau. Before moving to the Census Bureau in 2016, he served as the Associate Commissioner for Survey Methods Research at the Bureau of Labor Statistics for twelve years; and previously served as a senior mathematical statistician at BLS, and as an associate professor with tenure in the Department of Statistics at Texas A&M University. He earned a Ph.D. from the Department of Statistics at Iowa State University; is a fellow of the American Statistical Association; is an associate editor for Journal of Official Statistics and for Survey Methodology Journal; and is a member of the Federal Committee on Statistical Methodology. He previously gave the Roger Herriot Memorial Lecture on Innovation in the Federal Statistical System; and was previously the President of the Washington Statistical Society, the overall chair of the 2003 Joint Statistical Meetings, an associate editor for The American Statistician, and an associate editor for the Applications and Case Studies Section of Journal of the American Statistical Association. His research interests include data quality; design optimization; integration of multiple data sources; imputation; time series; and small domain estimation. In addition, at the 2018 Joint Statistical Meetings, he presented the annual Deming Memorial Lecture, “Improving the Quality and Value of Statistical Information: 14 Questions on Management."
Dr. Groshen is the Visiting Senior Scholar at the Cornell University School of Industrial and Labor Relations and Research Fellow at the Upjohn Institute for Employment Research. From 2013 to 2017, she served as the 14th Commissioner of the US Bureau of Labor Statistics, the principal federal agency responsible for measuring labor market activity, working conditions, and inflation. Before that she was Vice President in the Research and Statistics Group of the Federal Reserve Bank of New York. Her research has centered on jobless recoveries, wage rigidity and dispersion, and the role of employers in the labor market. She co-authored How New is the “New Employment Contract”? from W.E. Upjohn Institute Press and co-edited Structural Changes in U.S. Labor Markets: Causes and Consequences, from M.E. Sharpe, Inc. Dr. Groshen received the 2017 Susan C. Eaton Outstanding Scholar-Practitioner Award from the Labor and Employment Relations Association. She holds a Ph.D. in economics from Harvard University and a B.S. in mathematics and economics from the University of Wisconsin-Madison.
Ralf is Director of Machine Learning Science at Amazon and Managing Director of the Amazon Development Center Germany. His team works on scalable problems as well as privacy- and resource-aware machine learning, probabilistic learning algorithms (including forecasting), linking structured content, machine translation, robotics and computer vision. In 2011, he worked at Facebook leading the Unified Ranking and Allocation team. From 2000 - 2011, he worked at Microsoft Research and was co-leading the Applied Games and Online Services and Advertising group which engaged in research at the intersection of machine learning and computer games and in the areas of online services, search and online advertising combining insights from machine learning, information retrieval, game theory, artificial intelligence and social network analysis. Ralf was Research Fellow of the Darwin College Cambridge from 2000 - 2003. He has a diploma degree in Computer Science (1997) and a Ph.D. in Statistics (2000). Ralf’s research interests include Bayesian inference and decision making, computer games, kernel methods and statistical learning theory. He is one of the inventors of the Drivatars system in the Forza Motorsport series as well as the TrueSkill ranking and matchmaking system in Xbox 360 Live. He also co-invented the adPredictor click- prediction technology launched in 2009 in Bing’s online advertising system.
Michael I. Jordan is the Pehong Chen Distinguished Professor in the Department of Electrical Engineering and Computer Science and the Department of Statistics at the University of California, Berkeley. His research interests bridge the computational, statistical, cognitive and biological sciences. Prof. Jordan is a member of the National Academy of Sciences and a member of the National Academy of Engineering. He has been named a Neyman Lecturer and a Medallion Lecturer by the Institute of Mathematical Statistics. He received the IJCAI Research Excellence Award in 2016, the David E. Rumelhart Prize in 2015 and the ACM/AAAI Allen Newell Award in 2009.
Rob Lue is a professor of molecular and cellular biology at Harvard University and the Richard L. Menschel Faculty Director of the Derek Bok Center for Teaching and Learning, where he is responsible for fostering innovative teaching in Harvard’s Faculty of Arts and Sciences. Lue earned his Ph.D. in biology from Harvard, and since 1988 has taught undergraduate courses acclaimed for their innovative and interdisciplinary approach. In 2012, Lue’s extensive work on using technology to enhance learning took a new direction when he became the founding faculty director of HarvardX, Harvard’s university-wide online education initiative that includes the edX partnership with MIT, a role which he held until 2018. Lue now helps to shape Harvard’s engagement in online learning to reinforce its commitment to teaching excellence and expand its reach and impact globally. In 2017, he was awarded a grant from the Amgen Foundation to build LabXchange, an online platform for global science education that not only integrates the best of digital instruction and interactivity, but also connects students, teachers, and researchers for sharing and collaboration. He also serves as the faculty director of the Harvard Ed Portal, the primary community engagement center in Harvard's new Allston campus.
Bhramar Mukherjee is John D. Kalbfleisch Collegiate Professor and Chair, Department of Biostatistics; Professor, Department of Epidemiology , Professor, Global Public Health, University of Michigan (UM) School of Public Health; Research Professor and Core Faculty Member, Michigan Institute of Data Science (MIDAS), University of Michigan. She also serves as the Associate Director of Cancer Control and Population Sciences, The University of Michigan Rogel Cancer Center. She is the cohort development core co-director in the University of Michigan’s institution-wide Precision Health Initiative. Her research interests include statistical methods for analysis of electronic health records, studies of gene-environment interaction, Bayesian methods, shrinkage estimation, analysis of multiple pollutants. Collaborative areas are mainly in cancer, cardiovascular diseases, reproductive health, exposure science and environmental epidemiology. She has co-authored more than 200 publications in statistics, biostatistics, medicine and public health and is serving on PI as NSF and NIH funded methodology grants. She is the founding director of the University of Michigan’s summer institute on Big Data. Bhramar is a fellow of the ASA and AAAS and is the recipient of many awards for her scholarship, service and teaching at the University of Michigan and beyond.
Margo Seltzer is a Canada 150 Research Chair and Cheriton Family Chair in Computer Systems at the University of British Columbia. Her research interests are in systems, construed quite broadly: systems for capturing and accessing provenance, file systems, databases, transaction processing systems, storage and analysis of graph-structured data, new architectures for parallelizing execution, and systems that apply technology to problems in healthcare. She is the author of several widely-used software packages including database and transaction libraries and the 4.4BSD log-structured file system. Dr. Seltzer was a founder and CTO of Sleepycat Software, the makers of Berkeley DB, and is now an Architect at Oracle Corporation. She serves on the Computer Science and Telecommunications Board (CSTB) of the National Academies and the Defense Advanced Research Projects Agency (DARPA) Information Science and Technology (ISAT) study group. She also served on the Computing Research Association Board of Directors, the CRA Computing Community Consortium, and was President of the USENIX Association. She is a Sloan Foundation Fellow in Computer Science, an ACM Fellow, a Bunting Fellow, and was the recipient of the 1996 Radcliffe Junior Faculty Fellowship. She is recognized as an outstanding teacher and mentor, having received the Phi Beta Kappa teaching award in 1996, the Abrahmson Teaching Award in 1999, and the Capers and Marion McDonald Award for Excellence in Mentoring and Advising in 2010. Dr. Seltzer received an A.B. degree in Applied Mathematics from Harvard/Radcliffe College and a Ph. D. in Computer Science from the University of California, Berkeley.