IMS Elections

IMS Elections

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	Elected Member Profiles
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		2012 IMS Election Results Elected Officials Profiles President Elect Bin Yu Chancellor's Professor, Department of Statistics and Department of Electrical Engineering and Computer Science, Univ. of California at Berkeley Education PhD, UC Berkeley, 1990 MA, UC Berkeley, 1987 BA, Peking University, 1984 Research Interests High dimensional inference: statistical machine learning and large scale computation Information theory: Minimum Description Length Principle for model selection Interdisciplinary research: neuroscience, remote sensing, and computational social science Previous Service to the Profession Co-chair, National Advisory Committee, SAMSI Member, Board of Mathematical Science and Applications, NAS (2010-2013) Member, Committee to Select Editors 2004-2006 (Chair, 2005-2006) Member, Committee on Special Invited Lectures 2001-2003 (Chair, 2002-2003) Member, Council, 2001-2003, 2008-2010 Member, IEEE Information Theory Society Board of Governors, 1999-2001, 2002-2004 Associate Editor, Annals of Statistics, 1998 - 2000, 2001-2003, 2004-2006 Action Editor, Journal of Machine Learning Research, 2001 - Associate Editor, Technometrics, 2007-2011 Associated Editor, JASA, 2005-2007 Associate Editor, Statistica Sinica, 1996-2001, 2005-2010 Brief Statement As a leading international society of statisticians and probabilists, IMS is uniquely positioned to help society extract meaningful information from massively available data and push frontiers of science, engineering and social science. I am very honored to be nominated for President-Elect of IMS. If elected, I would work with colleagues at IMS to encourage and facilitate its members to meet major data challenges, advance fundamentals of statistics and probability, increase diversity within IMS, and keep IMS solid financially. Moreover, I would seek opportunities to forge new connections with other scientific societies and between statistics/probability societies in different countries/regions. Web http://www.stat.berkeley.edu/~binyu/Site/Welcome.html Elected Council Members For a 3 year term Erwin Bolthausen Professor, Institute of Mathematics, University of Zurich Education Ph.D. Mathematics, ETH Zurich 1973 Habilitation, Statistics, University of Konstanz 1978 Research Interests Probability Theory Random Media Previous Service to the Profession Annals of Statistics, Assoc. Editor 1987-1989 Annals of Probability, Assoc. Editor 1988-1993 PTRF Editor-in-chief 1994-2000 PTRF, Assoc. Editor 2000-2005 ALEA, Assoc. Editor since 2004 Annals of Appl. Prob., Assoc. Editor, since 2010 Member of the Council of the IMS, 2003-2007 Brief Statement A list of my priorities for the work in counsel would be: 1. Promotion of young researchers, for instance by supporting special meetings for them. 2. Support of interactions between probability and statistics with other fields outside and inside mathematics. Web http://www.math.uzh.ch/index.php?professur&key1=106 Alison Etheridge Professor, Department of Statistics, University of Oxford, UK Education BA Oxford 1985 DPhil Oxford 1989 Research Interests Stochastic models in population genetics Stochastic models in ecology Measure-valued processes Previous Service to the Profession Associate Editor Annals of Probability 2006-2011 Member of various Programme Committees including SPA 1999, 2006 and 2011. For London Mathematical Society (learned society for mathematics in the UK): Council: 2003-2007 Research Meetings Committee: 1999-2008 Research Policy Committee: 2010- Programme Committee: 2003-2007 Nominations Committee: 2010- UK Research Assessment Exercise 2008, member of Statistics, Probability and Operations Research subpanel UK Research Excellence Framework 2014, member of Mathematical Sciences subpanel UK Engineering and Physical Sciences Research Councili, member of Mathematical Sciences Strategic Advisory Team 2010- IMS Fellowship Committee member Brief Statement At the heart of the success of the IMS is the quality of its journals and meetings and there is no doubt that these activities influence the direction of our discipline. It is important that they are accessible to, and reflect the interests of, the vast range of researchers doing innovative work in statistics and probability. In this context I believe that it is crucial to continue the IMS tradition of open access publishing of the highest quality. High quality modelling combined with high quality statistical analysis is of fundamental importance to every scientific discipline. The IMS has a central role to play in communicating and promoting both fundamental and applied research and, crucially, the connection between the two. If elected these considerations will be at the core of my contribution to Council. Web http://www.stats.ox.ac.uk/~etheridg Xiao-Li Meng Whipple V. N. Jones Professor of Statistics and Department Chair Department of Statistics, Harvard University Education 1982: B.S. in Mathematics - Fudan University, Shanghai, P.R. China 1986: Diploma in Graduate Study of Mathematical Statistics - Research Institute of Mathematics, Fudan University, Shanghai, P.R. China 1987: M.A. in Statistics - Harvard University 1990: Ph.D. in Statistics - Harvard University Research Interests Statistical inference with partially observed data, pre-processed data, and simulated data. Quantifying statistical information and efficiency. Statistical principles and foundational issues, such as multi-party inferences, the theory of ignorance, and the interplay between Bayesian and frequentist perspectives. Effective deterministic and stochastic algorithms for Bayesian and likelihood computation, especially Markov chain Monte Carlo. Statistical issues in physical, social and medical studies. Elegant mathematical statistics. Previous Service to the Profession 2009 – Editor, Statistics Series, IMS/CUP (Cambridge University Press) Monograph and Textbook Series 2006 – 2009 Council, IMS 2005 – 2007 Committee on Special Lectures, IMS 2003 – 2005 Committee on Nominations, IMS 1998 – 1999 Chair, IMS Program Committee for the 1999 JSM. 1997 – 2003 Associate Editor, The Annals of Statistics 1996 – 1997 IMS Program Committee for the 1997 ENAR Spring Meeting. 1995 Co-organizer, IMS/ASA invited panel on "Speeding the Referee Process". Brief Statement Statistics is a language used to communicate with Mother Nature (or God), and Probability provides much of its grammar. The arrival of the information age demands exponentially more scholars and educators who can help modern citizens to gain a basic appreciation of the statistical language with correct probabilistic grammar. Those of us who are fortunate to be active in this golden era of Statistics and Probability also have the fundamental responsibility to deepen the foundations of our discipline while expanding our horizons. IMS council, being the policy-setting body for a leading international society of Statistics and Probability, has a vast role to play in both educational outreach and foundation-firming in-reach. I remain committed to contributing my experience and lessons to both, regardless of the election outcome. Web http://www.stat.harvard.edu/faculty_page.php?page=meng.html Nancy Reid University Professor of Statistics, University of Toronto, Canada Education BMath, University of Waterloo, 1974 MSc, University of British Columbia, 1976 PhD, Stanford University, 1979 Research Interests Theoretical statistics and foundations of inference Accurate approximations for inference Statistics in public policy and science policy Previous Service to the Profession Associate Editor, Annual Reviews of Statistics and¬¬¬ its Application, 2011 – Associate Editor, Statistical Science, 2008 – Chair: Steering committee for Long Range Plan in Mathematics and Statistics, NSERC, 2010 – 2012 Nominations Committee, International Statistical Institute, 2011 -- Council Member, Bernoulli Society, 2009 – 2013 Committee to Select Administrative Officers, IMS, 2009 – 2012 F.N. David Award Committee, IMS, 2010 – Noether Award Committee, ASA, 2010 – President, SSC, 2004 – 2005 President, IMS, 1996 -- 1997 Brief Statement The IMS has been very innovative in many recent efforts, and is exceptional for its publishing activities and international stature. I think the IMS can provide a unique perspective on statistical science and public policy, and if elected would seek opportunities for the IMS to be so engaged. These efforts may be more difficult with an international organization, as many policy issues are national, but at the same time the international perspective can carry stronger weight, and thus be more effective, on a range of issues that cut across national boundaries. These include research funding, social and geographic diversity, open access publishing, misuse of statistical arguments in science and public policy. Web http://www.utstat.utoronto.ca/reid/ Richard Samworth Reader in Statistics, Statistical Laboratory, University of Cambridge Education BA, Univ. Cambridge, 1999 MMath, Univ. Cambridge, 2000 (awarded retrospectively in 2011 MA, Univ. Cambridge, 2003 PhD, Univ. Cambridge, 2004 Research Interests Shape-constrained estimation problems Nonparametric classification, clustering and regression problems High-dimensional statistical inference The bootstrap Applications, including archaeology and oceanography Previous Service to the Profession Associate Editor, Journal Royal Statistical Society, Series B, 2006-Present Associate Editor, Biometrika, 2006-Present Associate Editor, Statistica Sinica, 2011-Present Member of the Research Section Committee of the Royal Statistical Society, 2007-2010; honorary secretary 2009-2010 Member of the IMS Committee on New Researchers, 2007-2010 Member of the Royal Statistical Society Council, 2012-Present Member of the European Regional Committee of the Bernoulli Society, 2010-Present Brief Statement The IMS plays a central role for statisticians and probabilitists, for instance by keeping them in touch with developments in our field, organizing meetings, publishing journals and recognizing outstanding achievement. But it faces several challenges, among them the need to ensure financial viability of its activities in a difficult climate, and to retain and develop its core, while at the same time reaching out to other disciplines that could benefit from our knowledge and insights. If elected, I would seek to work with colleagues to address these and other challenges, and to preserve the IMS hallmark of quality. Web http://www.statslab.cam.ac.uk/~rjs57/ For a 1 year term Nancy L. Garcia Full Professor, Department of Statistics, University of Campinas, Brazil Education Ph.D. in Statistics - University of Wisonsin - Madison (1993) Ms.Sci in Statistics - IMPA - Rio de Janeiro (1988) B. Sc. in Statistics - University of Campinas (1985) Research Interests Perfect simulation of point processes Chains of infinite memory Inference for chains of variable memory Random projections of Poisson processes Inference for aggregated functional data Analysis of neuroscience data Previous Service to the Profession Editor of Theory and Methods Brazilian Journal of Probability and Statistics - 2008 - present Associated Editor Environmetrics - 2009 - present President of the Advisory Committee for Mathematics/Probability and Statistics at Coordination for the Improvement of Higher Level Personnel (Capes) 2011-present Treasurer of the Brazilian Mathematical Society - 2009-2011 IMS Nominations Committee Member 2007-2008 Brief Statement I believe IMS plays a major role in the development of Probability and Statistics worldwide. I think that right now these are some important points that IMS can tackle: (1) Promoting the development of Probability and Statistics in countries that lack the necessary resources, infrastructure and/or expertise; (2) Stimulating the use of mathematical modeling in areas such as neuroscience, genomics and astronomy where there is a large development in data collection while keeping incentivating the development of methodology and theoretical results. (3) Supporting open access electronic publishing. Web http://www.ime.unicamp.br/~nancy/

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