2021 Nominees

President-Elect Nominee

‪Peter Bühlmann

Professor of Statistics, Seminar for Statistics, Department of Mathematics, ETH Zürich

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Education

  • Diploma (MSc) in mathematics, 1990, ETH Zürich
  • PhD in statistics, 1993, ETH Zürich (advisor: Hans R. Künsch)

Research Interests

  • Causal inference
  • Computational statistics
  • High-dimensional statistics
  • Interdisciplinary applications in the bio-medical field

Previous Service to the Profession

  • Associate Editor Annals of Statistics 2006-2009
  • Co-Editor Annals of Statistics 2010-2012
  • IMS Council Member (ex officio) 2010-2012
  • IMS Council Member 2014-2017
  • Member/Chair IMS Fellows Committee 2016/2017
  • Program Co-Chair IMS Annual Meeting 2018 Vilnius
  • Associate Editor Statistical Science 2017-current

Brief Statement

I feel deeply honored to be nominated as President-Elect of IMS. If elected, I will devote myself to maintain IMS as the prime society for statistics and probability. This is to be seen in the broad sense, encompassing, among others, interdisciplinary, reproducible, data, information and mathematical sciences. My goals also include the continuation and further development of what has been initiated already, namely: partnership with related disciplines; and supporting the generation of young scientists, something I view as especially important. All members of IMS, over the entire globe and from diverse backgrounds, will be most welcome to contribute shaping the future of IMS.


Council Nominees

Genevera I. Allen

Associate Professor, Departments of Electrical and Computer Engineering, Statistics, and Computer Science, Rice University.

Founder and Faculty Director, Center for Transforming Data to Knowledge, (D2K Lab)  Rice University.

Neurological Research Institute, Baylor College of Medicine.

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Education

  • BA, Statistics, Rice University, 2006
  • PhD, Statistics, Stanford University, 2010

Research Interests

  • Statistical machine learning
  • Graphical models
  • Modern multivariate analysis
  • Data integration
  • Applications in biomedicine and neuroscience

Previous Service to the Profession

  • Action Editor, Journal of Machine Learning Research, 2019-present
  • Series Editor, Springer Texts in Statistics, 2018-present
  • Associate Editor, Biometrics, 2014-2018
  • Associate Editor, Electronic Journal of Statistics, 2013-2016
  • Student Awards Chair, ASA Section on Statistical Learning and Data Science, 2017-2020
  • JSM Poster Chair, 2016
  • Program Chair, ASA Section on Statistical Learning and Data Science, 2018

Brief Statement

There has never been more interest and excitement in the fields of probability and statistics. The types of problems we study and questions we pose are critically relevant for making decisions in an increasingly data-centric world.  It is an honor to be nominated for the IMS Council.  If elected, I would seek to not only maintain the rich intellectual foundations of our discipline, but also embrace the new challenges, questions, and opportunities arising in data science and other interdisciplinary research frontiers.  Further, expanding opportunities for early career researchers, women, and under-represented groups is important for maintaining a thriving research community.


Graciela Boente

Professor, Department of Mathematics, University of Buenos Aires and CONICET, Argentina

Education

  • 1978: Licenciada en Matematica (Mathematics Diploma),  University of Buenos Aires
  • 1983: PhD in Mathematics, University of Buenos Aires

Research Interests

  • Functional data analysis
  • Multivariate analysis
  • Nonparametric and Semiparametric inference
  • Robust inference

Previous Service to the Profession

  • Associate Editor of Computational Statistics and Data Analysis (2014-2017)
  • Associate Editor of Statistica Sinica (2002-2005)
  • Associate Editor of REVSTAT (2014-continue)
  • Associate Editor of REVUMA (2020- )
  • Member at large of the Commission on Development and Exchanges (CDE) of the International Mathematical Union (2003-2010)

Brief Statement

It is a great honor to run for election to the Council of the IMS which is one of the most prestigious statistical societies. If elected, I will be glad to serve the statistical community, giving advice to the society and supporting activities that will help young researchers to join the IMS. I will also try to promote the IMS in LatinAmerica, in particular, encouraging virtual meetings that may allow to expand participation to those with less possibilities to travel.


Amarjit Budhiraja

Professor, Department of Statistics and Operations Research, The University of North Carolina at Chapel Hill

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Education

  • Ph.D. Statistics, 1994, The University of North Carolina at Chapel Hill
  • S. Statistics (Analysis and Probability), 1990, Indian Statistical Institute
  • B.S. Mathematics, 1988, Delhi University, India

Research Interests

  • Large Deviations
  • Stochastic Control and stochastic Differential Games
  • Stochastic Networks
  • Stochastic Partial Differential Equations
  • Nonlinear Filtering

Previous Service to the Profession

  • Associate Editor. Potential Analysis, Oct 2020 –
  • Associate Editor. Math. Oper. Res., Sep 2020 –
  • Associate Editor. SIAM Journal on Control and Optimization, Jan 2008 –
  • Associate Editor. Applied Math and Optimization, Dec 2016 –
  • Associate Editor. Ann. App. Prob., 2013 – 2018
  • Associate Editor. Sankhya, Series A, 2007 – 2018
  • Associate Editor. Bernoulli, 2009 – 2016
  • Associate Editor. Electronic Journal of Probability and Electronic Communications in Probability, 2007 – 2012
  • Permanent member of the Scientific Committee of the Seminar on Stochastic Processes
  • IMS Committee on Special Lectures 2020-2023
  • Program Committee, INFORMS Applied Probability Conference, July 3–5, 2019, Brisbane, Australia and July 6–8, 2011, Stockholm, Sweden
  • IMS Committee on Travel Awards 2015-2018
  • IMS Committee on Nominations 2013-2015
  • Program Committee, IMS – Asia Pacific Rim Meeting, 2016 and 2018

Brief Statement

It is my honor to run for election to the IMS council. The areas of Probability and Statistics are becoming increasingly central to many fields of inquiry and the IMS is a natural home to researchers from a broad range of academic areas. If elected I would strive to make IMS a welcoming and a rewarding venue for researchers from diverse backgrounds, and in particular for early-career researchers and those from underrepresented groups. I would also work towards continuing to expand the global footprint of IMS, particularly in Asia, South America and Africa.


Radu V. Craiu

Professor and Chair, Department of Statistical Sciences, University of Toronto

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Education

  • BSc (1995, University of Bucharest)
  • MSc in Mathematics (1996, University of Bucharest)
  • PhD (2001, University of Chicago)

Research Interests

  • Bayesian inference
  • Copula Models
  • Markov chain Monte Carlo algorithms
  • Model Selection
  • Statistical Genetics, Ecology and Astrostatistics

Previous Service to the Profession

  • Contributing Editor for IMS Bulletin (2020-present)
  • AE for Harvard Data Science Review (2019-present)
  • AE for Journal of Computational and Graphical Statistics (2006-present)
  • STAT – ISI’s Journal for the Rapid Dissemination of Statistics Research (2012-present)
  • Past AE for Statistica Sinica  (2005-2011)
  • Past guest AE for Technometrics (2014) and Statistics and Its Interface (2014)
  • Member of NSERC’s evaluation panel in Mathematics and Statistics (2016-2018)

Brief Statement

It is an honour to be considered for membership on the IMS council. As the most important organising body of the international community of statisticians, IMS can use its prestige to spearhead initiatives that will increase the visibility and impact of Statistics. Equally important, the long history of IMS positions it perfectly to help our profession preserve its core values and to inspire more active involvement with other communities working within Data Science. If elected, I will work to preserve IMS as a unifying and visionary organisation at a time when our community is pulled in many competing directions.


Aurore Delaigle

Professor, School of Mathematics and Statistics, University of Melbourne

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Education

  • Bachelor in Mathematics, Universite catholique de Louvain, Belgium, 1997
  • Master in Statistics, Universite catholique de Louvain, Belgium, 1999
  • PhD in Statistics, Universite catholique de Louvain, Belgium, 2003

Research Interests

  • Nonparametric statistics
  • Measurement errors, deconvolution, and imperfectly observed data
  • Functional data

Previous Service to the Profession

  • Executive Secretary and member of the Executive Committee of the IMS (2011–2017)
  • Co-Editor in chief of the Journals of the Royal Statistical Society, Series B (2020-2022)
  • Associate editor for Annals of Statistics (2012-2018), Australian and New Zealand Journal of Statistics (2012-2018), Econometrics and Statistics Journal, Part B Statistics (2016-2018), Journal of the American Statistical Association (2008-2019), Journal of Computational and Graphical Statistics (2009-2019), Journal of Nonparametric Statistics (2009-2012), Journal of the Korean Statistical Society (2008-2012), Journal of the Royal Statistical Society, Series B (2010-2019), Statistica Sinica (2008–2018)
  • 2022 Institute of Mathematical Statistics (IMS) Asia Pacific Rim conference local committee chair and organiser (with Howard Bondell)
  • Member of sectional committee 14 (interdisciplinary) to elect fellows of the Australian Academy of Science (2020–2023)
  • Section on Nonparametric Statistics Council of Sections Representative (elected) for the American Statistical Association (2019–2021)
  • Member of the Network of Advisors for the publications of the Royal Statistical Society, UK (2020–2022)
  • Member of the IMS committee to select administrative officers (2020–2023)
  • Chair of committee for Peter Hall Prize, IMS (2020–2023)
  • Member of the publications committee of the Bernoulli Society (2016–2020)
  • Member of the Gavin Brown Prize committee of the Australian Mathematical Society (2020)
  • Executive Secretary of the International Society for Nonparametric Statistics (2013–2018)
  • 2017 Associated chair of the Joint Statistical Meetings
  • Chair (2016) and member (2013) of the American Statistical Association Nonparametric Statistics Section Student Paper Award committee
  • IMS representative to the American Statistical Association Committee on Meetings (2011–2017)

Brief Statement

IMS has and will continue to play a central role in the promotion and dissemination of high quality probability and statistics. My very enjoyable experience as executive secretary of the IMS (from 2011 to 2016) has taught me a lot about the various challenges it faces. During my term as executive secretary, I contributed to discussions about modernising various aspects of the IMS, such as its publications, membership, fellowship, organisation of IMS meetings and gender equity. I would love to contribute again to the continuation of its outstanding support to the scientific community.


Davar Khoshnevisan

Professor and Chair, Department of Mathematics, The University of Utah

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Education

  • B.Sc./M.Sc. in Mathematical Sciences (1984) The Johns Hopkins University
  • Ph.D. in Statistics (1989) University of California, Berkeley

Research Interests

  • Probability
  • Stochastic Analysis
  • Stochastic Partial Differential Equations
  • Applications of stochastic analysis to physics and engineering

Previous Service to the Profession

  • (2020-2024) Probability & Statistics Editor, Memoirs of the American Mathematical Society
  • (2020-2024) Probability & Statistics Editor, Transactions of the American Mathematical Society
  • (2013-present) Associate Editor, Journal of Fractal Geometry
  • (2007-present) Associate Editor, Journal of Theoretical Probability
  • (2013-present) Member of the advisory board for Lecture Notes in Mathematics, Springer-Berlin
  • (2012-present) Series Editor for Probability and Its Applications, Springer-Berlin
  • (2012-present) Series Editor for Progress in Probability, Springer-Basel
  • (2011-2017) Associate Editor, The Annals of Probability
  • (2009-2012) Associate Editor, Stochastic Processes & Their Applications
  • (1999-2002) Managing Editor, The Electronic Journal of Probability and Electronic Communications in Probability
  • (2020-present) Organizer of the biweekly online seminar, Stochastic Analysis Under Covid Years 2020 and 2021
  • (2017-2020) Member of the Committee on Fellows, IMS
  • (2017-2020) Member of the Joint Special Chairs Committee, IMS/Bernoulli Society
  • (2017-2021) Foreign member of the Scientific Advisory Committee of Summer School in Stochastic Analysis, CRM-Barcelona
  • (2014-2015) Chair of the Committee on Electronic Issues, IMS
  • (2011-2014) Member of the Committee on Electronic Issues, IMS
  • (2009-2011) Council member, IMS
  • (2009-2011) Member of the Finance Committee, IMS
  • (2003-2004) Chair of the Committee for selection of Special Invited Lectures, IMS
  • (2001-2003) Member of the Committee for selection of Special Invited Lectures, IMS

Brief Statement

It is a privilege to be a member of the IMS, and an honor to be nominated for election to the IMS Council. The IMS plays a fundamental role in identifying and supporting high-quality research and a wide array of training and development efforts in our discipline. I believe it is vitally important to continue to offer publications and conference venues at the highest levels and at low cost, and to continue to also find new ways of doing that in the modern times. Despite the many difficulties and challenges that the current global pandemic has presented us with, it also has suggested a number of possibilities for novel dissemination of knowledge and new ways of finding and honing potential talent in statistics and probability. There indeed is a lot to learn from our present situation. I would be honored to have a chance to explore these topics as a member of the IMS council.


Samuel Kou

Professor of Statistics, Department of Statistics, Harvard University

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Education

  • Ph. D. in statistics, received from Stanford University in 2001

Research Interests

  • Stochastic inference in single molecule biophysics, chemistry and biology
  • Bayesian inference of stochastic models
  • Big data and big data analytics
  • Nonparametric methods, model selection and empirical Bayes
  • Monte Carlo methods
  • Economic and financial modeling

Previous Service to the Profession

  • 2015. Committee on Nominations, Institute of Mathematical Statistics
  • 2008 to 2011. Committee on Publications (served as committee chair: 2009 — 2010), Institute of Mathematical Statistics
  • 2018. COPSS Presidents’ Award Committee
  • 2017, 2016, 2014, 2013, 2012, and 2009. US National Science Foundation grant review panel
  • 2010 to 2012. Member, Board of Directors, International Chinese Statistical Association
  • 2019, 2018, 2015, and 2010. Guest Editor, Proceedings of the National Academy of Sciences of the USA
  • 2017 to now. Associate Editor, Journal of the American Statistical Association, Theory and Methods
  • 2013 to 2019. Associate Editor, Annals of Statistics
  • 2010 to 2012. Editor, Annals of Applied Statistics
  • 2013 to 2017. Editor, STAT
  • 2011 to 2013. Associate Editor, Statistical Science
  • 2010 to 2014. Associate Editor, Bernoulli
  • 2009 to 2012∙ Associate Editor, Journal of the American Statistical Association, Applications and Case Studies
  • 2008 to 2013. Editor, Chance Magazine
  • 2007 to 2009, and 2012 to 2015. Associate Editor, Annals of Applied Statistics
  • 2005 to 2011, and 2014 to 2017. Associate Editor, Statistica Sinica
  • 2006 to 2009. Associate Editor, Journal of Multivariate Analysis

Brief Statement

It is my great honor to be nominated for membership in the IMS Council. The IMS has an extraordinary tradition of bringing probabilists and statisticians together, with a united focus on scientific excellence, evidenced by its outstanding reputation on publications, meetings, promoting collaboration, and mentoring young researchers. The inclusive culture of the IMS is particularly well suited for shaping the discipline and fostering cross-fertilization in the era of data science, where a concerted effort (from statisticians and probabilists) is needed for important scientific applications as well as deep understanding of new technical advances. It will be my privilege to contribute to this effort.


Claudio Landim

Researcher, IMPA and CNRS

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Education

  • PhD at Paris 7 in 1990

Research Interests

  • Probability Theory
  • Statistical Mechanics
  • Large deviations
  • Hydrodynamical limit
  • Metastability

Previous Service to the Profession

  • Vice-president of the Brazilian Mathematical Society (1999—2000)
  • Member of the Committee for Conferences on Stochastic Processes of the Bernoulli Society (2003 – 2006 and 2020 – 2023)
  • President of the Latin-American Society of Probability and Mathematical Statistics – SLAPEM (2009—2012)
  • Coordinator of the Brazilian Mathematical Olympiads for Public Schools (OBMEP) (2011 – present)
  • Deputy Director, IMPA (2008 – present)
  • Director CNRS UMI 2994 (2016 – present)
  • Founder of the Brazilian School of Probability (1997)
  • Founder of the Latin American Journal of Probability and Mathematical Statistics (ALEA) (2006)
  • Founder of the Brazilian Probability Seminar (2021)
  • Associate Editor of RMU, ALEA, Annales Toulouse, SPA, JSP, EJP, ECP, PTRF, BBMS

Brief Statement

In recent years, the importance of probability and statistics for the advancement of sciences has been recognized by both the academic community and society. The IMS has a central role in the development and promotion of these areas of knowledge. It takes the form of publishing high quality journals sold at affordable prices, organizing international events, encouraging young scientists. In this sense, the IMS must continue to create sustainable economic models for the promotion of science that can be reproduced by other areas of knowledge and in other regions. Furthermore, the IMS should stimulate the progress of probability and statistics in less developed countries. This mission requires the voluntary collaboration of the scientific community.


Sofia Olhede

Chair of Statistical Data Science, Institute of Mathematics, École polytechnique fédérale de Lausanne, Switzerland

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Education

  • MSci in Mathematics 2000, Imperial College London
  • PhD in Mathematics 2003, Imperial College London

Research Interests

  • Network data analysis
  • Network asymptotics
  • Data science
  • Stochastic processes
  • Time series, point processes and random fields

Previous Service to the Profession

  • Member of IEEE Spectrum Editorial Advisory Board since May 2019
  • Member of the Methods Advisory Group (MAG) of the UK Department for Work & Pensions since February 2019
  • Commissioner on the Law Society of England and Wales Public Policy Technology and Law Commission – Algorithms in the Justice System. Commissioner with Law Society Vice President Christina Blacklaws and Professor Sylvie Delacroix 2018-2019
  • Royal Society and British Academy Data Governance Working Group July 2016–June 2017
  • Royal Society Machine Learning Working Group Nov 2015–May 2017
  • Member of the UK Office of National Statistics Data Science Campus Advisory Board since July 2018
  • Chair of the Alan Turing Institute Science Committee and Interim Program Committee May. 2015–Aug. 2016
  • Associate Editor for the IEEE Trans. Signal Proc October 2009–October 2013
  • Member of the Institute of Mathematical Statistics nominations committee 2008/2009 appointing its new president
  • Associate Editor for the J. Royal Statistical Society Series B August 2007–August 2011
  • Member of the Research Section of the Royal Statistical Society July 2005– Dec. 2009

Brief Statement

Statistics and probability have never been more relevant as disciplines in terms of informing policy and data driven decision-making; in a sense our current world does require experts. The areas that feed into the disciplines via understanding of high dimensional behaviour seem to be ever increasing. As an IMS council member, my experience of facilitating interdisciplinary activities, as well as my experience from providing advice to various public and governmental bodies, would be used to encourage ever greater interaction between disciplines in the Mathematical Sciences and beyond.


Dylan Small

Class of 1965 Wharton Professor of Statistics and Department Chair, Department of Statistics, The Wharton School, University of Pennsylvania

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Education

  • AB, Mathematics, Harvard University, 1997
  • PhD, Statistics, Stanford University, 2002

Research Interests

  • Causal inference
  • Applications of statistics to public health and public policy

Previous Service to the Profession

  • Associate Editorships: Annals of Statistics (2015-present), Observational Studies (editor, 2014-2019; associate editor, 2020-present), Journal of Causal Inference (2011-present), The American Statistician (2008-present), Statistical Science (2018-2020), Annals of Applied Statistics (2019-2020), Journal of the American Statistical Association (2008-2012, 2017-2019), Journal of the Royal Statistical Society Series B (2011-2016), Journal of Educational and Behavioral Statistics (2003-2019), Journal of Quantitative Analysis in Sports (2011-2014), Biometrics (2008-2010)
  • Statistics in Epidemiology Section of the American Statistical Association: Publications Officer, 2007-2009; Program Chair, 2012; Chair, 2018
  • Statistics in Sports Section of the American Statistical Association: Secretary/Treasurer, 2007-2009; Chair, 2011

Brief Statement

I am honored to stand for election to the IMS council. I would like to listen and work with IMS members to find ways to represent members’ interests.  Particular interests of mine for the IMS include the following: maintaining the high quality of the IMS journals, supporting early career researchers, encouraging underrepresented groups to enter our field and supporting their careers, supporting researchers working in isolated environments and keeping IMS members feeling part of a community.


Maria Eulalia Vares

Professor, Statistics Department  / Institute of Mathematics, Federal University of Rio de Janeiro

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Education

  • PhD in Statistics  – UC Berkeley – 1980
  • MSc in Mathematics – IMPA, Rio de Janeiro, 1977
  • BSc in Mathematics – UFRGS,  Porto Alegre, 1975

Research Interests

  • Probability and Statistical Physics:
    • Interacting particle systems
    • Percolation
    • Metastability

Previous Service to the Profession

  • Editor -Stochastic Processes and their Applications  (2006-2009)
  • Editor – Annals of Probability (2015-2017)
  • Area Editor – Brazilian Jr. of Probability and Statistics (2013-2014)
  • Editor – Ensaios Matemáticos – Braz Math. Society (2004- current)
  • AE for Annals of Probability (1997-2002)
  • AE for Stochastic  Processes  and their Applications  (2002-2006, 2009-2015)
  • AE for  BJPS (2004-2012, 2015-2018)
  • AE for Publicaciones Matematicas del Uruguay (2003-2009)
  • Chair of the Publications Committee of the Bern. Soc  (2012 -2014)
  • Member of the SLAPEM Committee (2019-)
  • For a few years in the past I served at the publications committee of the Bernoulli Society, member of the Bern Society Council, member of the IMS Council, member of the SLAPEM committee, one of the initiators and several times organizer of the Brazilian School of Probability, and other events for the probability community in Brazil and in Latin America.

Brief Statement

It is an honor to participate in the election for the IMS Council. The IMS is extremely important in promoting the development of probability and statistics in all regions of the world. For this, its role as a publisher has proven essential over the years, and we should make all efforts to face new challenges, keeping the high level, facilitating access and attracting young statisticians and probabilists to membership. I consider extremely important to encourage stronger participation of researchers from developing countries.


Daniela M. Witten

Professor and Dorothy Gilford Endowed Chair in Mathematical Statistics, Department of Statistics and Department of Biostatistics, University of Washington

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Education

  • B.S. in Mathematics and Biological Sciences, 2005, Stanford University
  • M.S. in Statistics, 2006, Stanford University
  • Ph.D. in Statistics, 2010, Stanford University

Research Interests

  • Statistical machine learning
  • High-dimensional statistics
  • Applications to genomics and neuroscience

Previous Service to the Profession

  • Associate Editor:
    • Journal of Computational and Graphical Statistics, 2011-2015
    • Biometrika, 2012-present
    • Journal of the American Statistical Association, Theory & Methods, 2014-2017
    • Journal of Machine Learning Research,2018-present
  • Award Committees:
    • COPSS Distinguished Achievement Award and Lecture Committee, 2019-2022
      • Committee chair in 2021
    • Spiegelman Award Committee, 2020-present
  • Editor Search Committees:
    • Committee to select founding co-editors of IMS Data Science Journal, 2019-2020
    • JASA Theory & Methods Co-Editor Nominating Committee, 2020
    • AOAS Editor Search Committee, 2020-2021
  • Institute for Pure and Applied Mathematics (IPAM) Scientific Advisory Board, 2019-present
  • ASA Ad Hoc Data Science Advisory Committee 2019-2020
  • Program/Steering committee member for 10+ conferences (incl. JSM as IMS Contributed Papers Chair); 2012-present

Brief Statement

As interest in data science increases, there is growing pressure on the fields of mathematical statistics and probability to prove their value in a data-driven world. There is also a rare opportunity to showcase our contributions to a large scientific audience. IMS is uniquely positioned to tackle this challenge and seize this opportunity. I will continue IMS’s efforts to engage with researchers from other fields, and to welcome a big tent of researchers across all areas of statistics and probability, broadly defined. Moreover, I’m committed to supporting early career researchers, and to promoting diversity.