Education

• BM Music Composition, 1988, Brigham Young University, Provo, Utah, USA
• MS Statistics, 1988, Brigham Young University, Provo Utah, USA
• MS Biostatistics, 1991, University of Washington, Seattle, WA, USA
• PhD Biostatistics 1991, University of Washington, Seattle, WA, USA
• MM Music Composition, 1999, University of Wisconsin-Madison, Madison, WI, USA

Research Interests

• Biostatistics
• Data Science
• Empirical Processes
• Machine Learning
• Precision Medicine
• Applications of Data Science to Biomedicine

Previous Service to the Profession

• Associate Editor Annals of Statistics 2004-present
• IMS Program Co-Chair, WNAR/IMS Joint Statistical Meeting 2002 Los Angeles
• IMS Program Co-Chair,  ENAR/IMS Joint Statistical Meeting 2006 New Orleans
• IMS Program Co-Chair, JSM 2009 Washington DC

Brief Statement

I feel honored to be nominated as President-Elect of the IMS, the premier professional society for statistics and probability. The IMS has a central role in the ongoing fundamental and interdisciplinary developments in science. I view this role broadly and to involve many facets, including data science, rigorous and reproducible research, interdisciplinarity, communication about science, and other aspects. My goals are to maintain the tremendous current strengths and initiatives of the IMS, as well as to grow relevant partnerships with greater inclusivity across the world and increased attention to professional development at all career stages, especially for young scientists.

Education

• Bachelor of Science (Honours) Mathematics, (1991), St. Stephen’s College, New Delhi, India
• Master of Statistics, (1993), Indian Statistical Institute,  Kolkata, India
• PhD in Mathematics, (1998), University of Washington, Seattle, U.S.A.

Research Interests

• Stochastic Analysis (Stochastic Partial Differential Equations and Stochastic Differential Equations)
• Random walks among mobile traps
• Random Graphs
• Tree-valued Processes
• Computational Epidemiology

Previous Service to the Profession

• Organiser: Bernoulli-IMS One World Symposium 2020,August 24, 2020 – August 28, 2020
• Program Chair:  The Bernoulli-IMS 10th World Congress in Probability and Statistics, July 13-July 19 2021
• Editor-in-Chief: Electronic Communications in Probability 2021-23

Brief Statement

It is a privilege to be a member of the IMS and a great honour to be nominated for the IMS Council. The IMS plays a very important role in bringing together  probability and statistics researchers, supporting high-quality research,  training and development. My interests in the IMS include maintaining  the high quality of the journals supported by the IMS, dissemination of  research results with minimal costs, helping early-career researchers, and supporting underrepresented research groups in the IMS community. I am very much committed to promoting diversity (geography, gender  and science) in all activities of the IMS.

Education

• BS Mathematics, Brown University, 2005
• MS Mathematics, University of Chicago, 2009
• PhD Statistics, University of Chicago, 2012

Research Interests

• High-dimensional statistics
• Selective inference
• Distribution-free inference
• Medical imaging

Previous Service to the Profession

• Associate editor:
  • Annals of Statistics (2017-present)
  • Information and Inference (2017-2021)
  • SIAM Journal on Mathematics of Data Science (2018-present)
• Awards committees:
  • 2022 Bernoulli Prize for an Outstanding Survey Article in Probability or Statistics
• Other:
  • Co-organizer of the International Seminar on Selective Inference (2020-present)
  • Co-organizer of multiple workshops

Brief Statement

This is a very exciting and dynamic time for the field of statistics, and the IMS is critical in providing opportunities for members of our field to grow as researchers and educators, for the development of interdisciplinary research between statistics and related fields, and for supporting students and new researchers in statistics, particularly during the challenges of the pandemic. I am very honored to be nominated for the IMS council and hope to have the opportunity to contribute to the IMS’s mission of supporting our field and our community.

Education

• Graduated from University of Paris Diderot and from ENSAE, 1994
• PHD from University of Paris 6 , 1997
• Habilitation à Diriger des recherche : 2003 from Université Paris Descartes

Research Interests

• Bayesian Statistics
• High dimensional Statistics
• Bayesian nonparametrics
• Asymptotics
• Computational Statistics and approximate Bayesian computation
• Statistical machine learning
• Networks
• Latent variable models

Previous Service to the Profession

• Co-editor of Bayesian Analysis
• Associate editor of : EJS, AIHP
• Former associate editor of : Annals of statistics, Bernoulli, JASA, ANZJS
• Board member of the SNF (swiss national Foundation) [2018-2020]
• Member of a number of committees for the International Society of Bayesian Analysis, including Chair of the prize committee, chair of the De Groot committee, chair of the Savage committee
• Organization of a few conferences (Bayesian nonparametrics 2017, ISBA world meeting 2018) member of a number of scientific committees for conferences and chair of the EMS meeting (2022), chair of the SFDS meeting 2016

Brief Statement

International societies are key to the development and dissemination of science and IMS in particular is central to the community of statistics, probability and data science in general.  I very much enjoyed my experience as IMS program secretary which allowed me to learn and understand how the IMS works, its challenges together with its importance. With the rapid expansion of data science in the society, we,  as statisticians, are facing very exciting times with entirely new types of problems and greater interactions with other disciplines be them applied mathematics or various domains of science. In this landscape IMS has a key role to play and I would love to help again in the continuation of the support IMS provides to the community.

Education

• B.S. in Mathematics, 2007, Stanford University
• Ph.D. in Statistics, 2011, Stanford University

Research Interests

• High-dimensional statistics
• Nonparametric estimation
• Distribution-free inference
• Continuous optimization
• Numerical analysis
• Epidemic tracking and forecasting

Previous Service to the Profession

• Associate Editor for the Journal of Machine Learning Research (2018-present), Annals of Statistics (2016-2020), Journal of American Statistical Society (JASA) (2019-2020), Biometrika (2013-2016), Statistical Analysis and Data Mining (2013-2016), and for NeurIPS, ICML, AISTATS (2014-2020)
• Editorial Board for the Springer Series in the Data Sciences (2018-present)
• Scientific Advisory Board for the Institute for Pure and Applied Mathematics (IPAM) (2019-present)
• Steering Committee for Association for Computing Machinery-Institute of Mathematical Statistics (ACM-IMS) Conference on Foundations of Data Science (2019-2020)
• Associate Chair for Joint Statistical Meetings (JSM) (2018)

Brief Statement

I am honored to be nominated for the council position. The IMS occupies a central place in our field. If elected, I would focus on finding ways that the IMS can (1) help encourage and improve reproducibility in the publication process, and bridge the gap between the publication models in (and value systems embodied by) statistics and machine learning; and (2) help young statisticians to make an impact (and be properly recognized and rewarded) in ways that are not traditionally rewarded academically.

Education

• Ph.D. in Mathematics, 2004, Cornell University

Research Interests

• Analysis of iterative algorithms
• Bayesian nonparametrics
• Network analysis
• Large covariance matrices estimation
• Asymptotic decision theory

Previous Service to the Profession

• 2020, IMS Program Chair for Invited Talks at JSM
• 2010-2018, Associate Editor, Annals of Statistics
• 2013-2021, Associate Editor, Bernoulli
• 2017-2019, Associate Editor, Statistical Science
• 2015-2018, IMS Committee to select Editors (chair)
• 2010-2012, IMS Committee to select Editors

Brief Statement

It is a great honor to be nominated for election to the IMS Council. In the past nine years I have served as the department chair at Yale to help with its transition from a statistics department to a department of statistics and data science. My experience during the transition might be valuable for the IMS community to further embrace and integrate with data science.