Jennifer Wortman Vaughan

Last updated
Jennifer Wortman Vaughan
Jennifer Wortman Vaughan, May 2019.jpg
Jennifer Wortman Vaughan, May 2019
Alma mater Boston University
Stanford University
University of Pennsylvania
Scientific career
Fields Computer Science
Institutions Harvard University
University of California, Los Angeles
Microsoft Research
Website Personal website

Jennifer (Jenn) Wortman Vaughan is an American computer scientist and Senior Principal Researcher at Microsoft Research focusing mainly on building responsible artificial intelligence (AI) systems as part of Microsoft's Fairness, Accountability, Transparency, and Ethics in AI (FATE) initiative. Jennifer is also a co-chair of Microsoft's Aether [1] group on transparency that works on operationalizing responsible AI across Microsoft through making recommendations on responsible AI issues, technologies, processes, and best practices. Jennifer is also active in the research community, she served as the workshops chair and the program co-chair of the Conference on Neural Information Processing Systems (NeurIPs) in 2019 [2] and 2021, [3] respectively. She currently serves as Steering Committee member of the Association for Computing Machinery Conference on Fairness, Accountability and Transparency. Jennifer is also a senior advisor to Women in Machine Learning [4] (WiML), an initiative co-founded by Jennifer in 2006 aiming to enhance the experience of women in Machine Learning.

Contents

Academic biography

Jennifer received a bachelor's degree in Computer Science from Boston University in 2002 and an MS in Computer Science from Stanford University in 2004, where she conducted research for the first time while working with Stanford's Multiagent Group. [5] [6] She received an MSE and PhD in Computer and Information Science from the University of Pennsylvania in 2009 where she was mentored by Michael Kearns. During her time at UPenn, she interned with the Machine Learning and Microeconomics groups at Yahoo! Research, as well as the research group at Google. [5] Her dissertation Learning from collective preferences, behavior, and beliefs [7] introduced new theoretical learning models and algorithms for scenarios in which information is aggregated across a population. After receiving her PhD, she spent a year as a Computing Innovation Fellow at Harvard University, [8] where she was involved with the EconCS group, [5] [9] the Theory of Computation group, [5] [10] and the Center for Research on Computation and Society. [5] [11] Prior to joining Microsoft Research in 2012, Jennifer was an Assistant Professor of Computer Science at the University of California, Los Angeles.

Awards and honors

Related Research Articles

<span class="mw-page-title-main">David Bader (computer scientist)</span> American computer scientist

David A. Bader is a Distinguished Professor and Director of the Institute for Data Science at the New Jersey Institute of Technology. Previously, he served as the Chair of the Georgia Institute of Technology School of Computational Science & Engineering, where he was also a founding professor, and the executive director of High-Performance Computing at the Georgia Tech College of Computing. In 2007, he was named the first director of the Sony Toshiba IBM Center of Competence for the Cell Processor at Georgia Tech.

Ekaterini Panagiotou Sycara is a Greek computer scientist. She is an Edward Fredkin Research Professor of Robotics in the Robotics Institute, School of Computer Science at Carnegie Mellon University internationally known for her research in artificial intelligence, particularly in the fields of negotiation, autonomous agents and multi-agent systems. She directs the Advanced Agent-Robotics Technology Lab at Robotics Institute, Carnegie Mellon University. She also serves as academic advisor for PhD students at both Robotics Institute and Tepper School of Business.

<span class="mw-page-title-main">Jennifer Tour Chayes</span> American computer scientist and mathematician

Jennifer Tour Chayes is dean of the college of computing, data science, and society at the University of California, Berkeley. Before joining Berkeley, she was a technical fellow and managing director of Microsoft Research New England in Cambridge, Massachusetts, which she founded in 2008, and Microsoft Research New York City, which she founded in 2012.

<span class="mw-page-title-main">Eric Horvitz</span> American computer scientist, and Technical Fellow at Microsoft

Eric Joel Horvitz is an American computer scientist, and Technical Fellow at Microsoft, where he serves as the company's first Chief Scientific Officer. He was previously the director of Microsoft Research Labs, including research centers in Redmond, WA, Cambridge, MA, New York, NY, Montreal, Canada, Cambridge, UK, and Bangalore, India.

<span class="mw-page-title-main">Barbara J. Grosz</span> American computer scientist (born 1948)

Barbara J. Grosz CorrFRSE is an American computer scientist and Higgins Professor of Natural Sciences at Harvard University. She has made seminal contributions to the fields of natural language processing and multi-agent systems. With Alison Simmons, she is co-founder of the Embedded EthiCS programme at Harvard, which embeds ethics lessons into computer science courses.

Radhika Nagpal is an Indian-American computer scientist and researcher in the fields of self-organising computer systems, biologically-inspired robotics, and biological multi-agent systems. She is the Augustine Professor in Engineering in the Departments of Mechanical and Aerospace Engineering and Computer Science at Princeton University. Formerly, she was the Fred Kavli Professor of Computer Science at Harvard University and the Harvard School of Engineering and Applied Sciences. In 2017, Nagpal co-founded a robotics company under the name of Root Robotics. This educational company works to create many different opportunities for those unable to code to learn how.

Michael Justin Kearns is an American computer scientist, professor and National Center Chair at the University of Pennsylvania, the founding director of Penn's Singh Program in Networked & Social Systems Engineering (NETS), the founding director of Warren Center for Network and Data Sciences, and also holds secondary appointments in Penn's Wharton School and department of Economics. He is a leading researcher in computational learning theory and algorithmic game theory, and interested in machine learning, artificial intelligence, computational finance, algorithmic trading, computational social science and social networks. He previously led the Advisory and Research function in Morgan Stanley's Artificial Intelligence Center of Excellence team, and is currently an Amazon Scholar within Amazon Web Services.

<span class="mw-page-title-main">Curtis Huttenhower</span> American biologist (born 1981)

Curtis Huttenhower is a Professor of Computational Biology and Bioinformatics in the Department of Biostatistics, School of Public Health, Harvard University.

Azer Bestavros, is the Inaugural Associate Provost for Computing and Data Sciences and the William Fairfield Warren Distinguished Professor of Computer Science at Boston University. Prior to his appointment in 2019 to lead the Faculty of Computing and Data Sciences, he was the Founding Director of The Rafik B. Hariri Institute for Computing and Computational Science & Engineering. He joined Boston University in 1991 as an assistant professor in the Department of Computer Science, which is part of the university's College of Arts & Sciences. He was promoted to the rank of associate professor in 1998 and to the rank of full professor in 2003. From 2000 to 2007, he served as chair of the Department of Computer Science. Prior to joining Boston University, he worked as an instructor, teaching fellow, software engineer, and technical consultant for various organizations and technology companies, including the Eastern Mediterranean Regional Office of World Health Organization, Awad Associates, Harvard University, and AT&T Research Laboratories.

Animashree (Anima) Anandkumar is the Bren Professor of Computing at California Institute of Technology. Previously, she was a senior director of Machine Learning research at NVIDIA and a principal scientist at Amazon Web Services. Her research considers tensor-algebraic methods, deep learning and non-convex problems.

Rediet Abebe is an Ethiopian computer scientist working in algorithms and artificial intelligence. She is an assistant professor of computer science at the University of California, Berkeley. Previously, she was a Junior Fellow at the Harvard Society of Fellows.

Wei Wang is a Chinese-born American computer scientist. She is the Leonard Kleinrock Chair Professor in Computer Science and Computational Medicine at University of California, Los Angeles and the director of the Scalable Analytics Institute (ScAi). Her research specializes in big data analytics and modeling, database systems, natural language processing, bioinformatics and computational biology, and computational medicine.

<span class="mw-page-title-main">Fengqi You</span> Professor and computer scientist

Fengqi You is a professor and holds the Roxanne E. and Michael J. Zak Chair at Cornell University in the United States. His research focuses on systems engineering and data science. According to Google Scholar, his h-index is 82.

Yejin Choi is Wissner-Slivka Chair of Computer Science at the University of Washington. Her research considers natural language processing and computer vision.

<span class="mw-page-title-main">Hanna Wallach</span> Computational social scientist

Hanna Wallach is a computational social scientist and partner research manager at Microsoft Research. Her work makes use of machine learning models to study the dynamics of social processes. Her current research focuses on issues of fairness, accountability, transparency, and ethics as they relate to AI and machine learning.

<span class="mw-page-title-main">Margaret Mitchell (scientist)</span> U.S. computer scientist

Margaret Mitchell is a computer scientist who works on algorithmic bias and fairness in machine learning. She is most well known for her work on automatically removing undesired biases concerning demographic groups from machine learning models, as well as more transparent reporting of their intended use.

Shai Ben-David is an Israeli-Canadian computer scientist and professor at the University of Waterloo. He is known for his research in theoretical machine learning.

Himabindu "Hima" Lakkaraju is an Indian-American computer scientist who works on machine learning, artificial intelligence, algorithmic bias, and AI accountability. She is currently an Assistant Professor at the Harvard Business School and is also affiliated with the Department of Computer Science at Harvard University. Lakkaraju is known for her work on explainable machine learning. More broadly, her research focuses on developing machine learning models and algorithms that are interpretable, transparent, fair, and reliable. She also investigates the practical and ethical implications of deploying machine learning models in domains involving high-stakes decisions such as healthcare, criminal justice, business, and education. Lakkaraju was named as one of the world's top Innovators Under 35 by both Vanity Fair and the MIT Technology Review.

Shuchi Grover is an Indian-American learning scientist and computer scientist whose work as a computer science education and AI literacy researcher is widely recognized. Her seminal research on computational thinking and how to design effective computationally rich educational experiences for children has shaped policies and curricula on computational literacy worldwide.

<span class="mw-page-title-main">Takayuki Ito</span> Japanese computer scientist

Takayuki Ito is a Japanese computer scientist who specialized in the fields of artificial intelligence and multi-agent systems. He worked as assistant professor in the computer science department of Japan Advanced Institute of Science and Technology from 2001 until 2003, served as associate professor in the computer science department of Nagoya Institute of Technology (2006–2014), worked as full professor in the computer science department of Nagoya Institute of Technology (2014–2020). He also served as chair of the department (2016–2018)and also director the NITech Artificial Intelligence Research Center at Nagoya Institute of Technology.

References

  1. ↑ "Our approach to responsible AI at Microsoft". www.microsoft.com. Retrieved 2022-01-26.
  2. ↑ "2019 Organizing Committee". neurips.cc. Retrieved 2022-01-26.
  3. ↑ "2021 Organizing Committee". neurips.cc. Retrieved 2022-01-26.
  4. ↑ "Women in Machine Learning" . Retrieved 2022-01-26.
  5. 1 2 3 4 5 "Jennifer Wortman Vaughan". www.jennwv.com. Retrieved 2022-01-31.
  6. ↑ "Multiagent Group". multiagent.stanford.edu. Retrieved 2022-01-31.
  7. ↑ Skelton, J.; Rodgers, C.; Ellis, L.; Lyles, A. (2014-05-15). "Rubrics and Evaluations". I-manager's Journal on School Educational Technology. 9 (4): 7–13. doi:10.26634/jsch.9.4.2708. ISSN   0973-2217.
  8. 1 2 3 4 "Biography and Photos". www.jennwv.com. Retrieved 2022-01-31.
  9. ↑ "econcs". econcs.seas.harvard.edu. Retrieved 2022-01-31.
  10. ↑ "Theory of Computation at Harvard". toc.seas.harvard.edu. Retrieved 2022-01-31.
  11. ↑ "CRCS | Center for Research on Computation and Society". crcs.seas.harvard.edu. Retrieved 2022-01-31.
  12. ↑ "Graduate Student Awards" . Retrieved 2022-01-31.
  13. ↑ "2009 Class - CCC" . Retrieved 2022-01-31.
  14. ↑ "UAI 2009 : The 25th Conference on Uncertainty in Artificial Intelligence". www.wikicfp.com. Retrieved 2022-01-31.
  15. ↑ "NSF Award Search: Award # 1054911 - CAREER: Learning- and Incentives-Based Techniques for Aggregating Community-Generated Data". nsf.gov. Retrieved 2022-01-31.
  16. ↑ "Jennifer Wortman Vaughan named to Symantec Term Chair in Computer Science" . Retrieved 2022-01-31.
  17. ↑ "President Obama Honors Early Career Scientists and Engineers". www.nsf.gov. Retrieved 2022-01-31.
  18. ↑ "Award Papers | International World Wide Web Conference". Archived from the original on 2021-10-15. Retrieved 2022-01-31.
This page is based on this Wikipedia article
Text is available under the CC BY-SA 4.0 license; additional terms may apply.
Images, videos and audio are available under their respective licenses.