NISS recently welcomed two members to the NISS Board of Trustees.
Victor S.Y. Lo
Victor S.Y. Lo is a seasoned Big Data, Marketing, Risk, and Finance leader & innovator with over two decades of extensive consulting and corporate experience employing data-driven solutions in a wide variety of business areas, including Customer Relationship Management,Market Research, Advertising Strategy, Risk Management, Financial Econometrics, Insurance, Product Development, Transportation, Healthcare, and Human Resources. He is actively engaged with Big Data Analytics, causal inference, and is a pioneer of Uplift/True-lift modeling, a key subfield of data science that has been applied to areas as marketing, political election, and medicine.
Victor has served as the manager of quantitative teams in multiple organizations. He is currently Head of Data Science and Artificial Intelligence in Workplace Solutions at Fidelity Investments. Previously he managed advanced analytics teams in Personal Investing, Corporate Treasury, Managerial Finance, and Healthcare and Total Well-being at Fidelity Investments. Prior to Fidelity, he was VP and Manager of Modeling and Analysis at FleetBoston Financial (now part of Bank of America), and Senior Associate at Mercer Management Consulting (now Oliver Wyman).
For academic & industry services, Victor has been a visiting research fellow and corporate executive-in-residence at Bentley University. He has also been serving on the steering committee of the Boston Chapter of the Institute for Operations Research and the Management Sciences (INFORMS) and on the editorial board for two academic journals. He is a frequently invited speaker at several conferences, bridging the gap between industry and academia. Victor has a master’s degree in Operational Research from Lancaster University and a PhD in Statistics from the University of Hong Kong, and was a Postdoctoral Fellow in Management Science at the University of British Columbia. He is a co-editor of a graduate level econometrics book, published numerous articles in Data Mining, Marketing, Statistics, and Management Science literature, and is finishing a graduate level text book on causal inference for business.
Victoria Stodden is an associate professor in the School of Information Sciences at the University of Illinois at Urbana-Champaign, with affiliate appointments in the Department of Statistics, the School of Law, the
Department of Computer Science, the Coordinated Science Laboratory, and the National Center for Supercomputing Applications. She is also a faculty affiliate of the Center for Informatics Research in Science and Scholarship (CIRSS) at the University of Illinois. She completed both her PhD in statistics and law degree at Stanford University, and graduated magna cum laude from the University of Ottawa.
Her research focuses on understanding when and how inferences from data are valid and reproducible. Her group focuses on understanding the effect of big data and computation on scientific inference, for example studying adequacy and robustness in replicated results, designing and implementing infrastructure for sharing and validating scientific findings, developing standards of openness for data and code sharing, and resolving legal and policy barriers to disseminating reproducible research.
Even though their terms begin July 1, 2019, both Dr. Lo and Dr. Stodden have already become involved in working with other members of the NISS community to plan activities and events! Once again, NISS looks forward to the active role that these new leaders will play in the coming years as they help define ways to bring together statisticians and data scientists to address current issues in ways that an organization like NISS can make possible.