Bin Yu

{{Infobox scientist

| name = Bin Yu

| native_name = 郁彬

| native_name_lang = zh

| image = BIN YU in 2024.jpg

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| fields = Statistics
Machine Learning

| workplaces = University of California, Berkeley
University of Wisconsin–Madison
Bell Labs

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| education = Peking University (BA, 1984)
University of California, Berkeley (MS, 1987; PhD, 1990)

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| doctoral_advisor = Lucien Le Cam
Terry Speed

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| awards = IMS Fellow (1999)
IEEE Fellow (2001)
ASA Fellow (2005)
AAAS Fellow (2013)
Member of NAS (2014)
Elizabeth L. Scott Award (2018)
COPSS Distinguished Achievement Award and Lectureship (2023)

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| website = {{URL|https://www.stat.berkeley.edu/~binyu/}}

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}}

Bin Yu ({{zh|c=郁彬}}) is a Chinese-American statistician. She is currently Chancellor's Professor in the Departments of Statistics and of Electrical Engineering & Computer Sciences at the University of California, Berkeley.[https://binyu.stat.berkeley.edu/bio Faculty biography], UC Berkeley, accessed 2020-10-18.{{citation|url=http://magazine.amstat.org/blog/2012/08/01/people8_12/|archive-url=https://archive.today/20130703171507/http://magazine.amstat.org/blog/2012/08/01/people8_12/|url-status=dead|archive-date=July 3, 2013|title=Bin Yu|department=People News for August 2012|journal=Amstatnews|publisher=American Statistical Association|date=August 1, 2012}}.

Biography

Yu earned a bachelor's degree in mathematics in 1984 from Peking University, and went on to pursue graduate studies in statistics at Berkeley, earning a master's degree in 1987 and a Ph.D. in 1990. Her dissertation, Some Results on Empirical Processes and Stochastic Complexity, was jointly supervised by Lucien Le Cam and Terry Speed.{{mathgenealogy|id=34541}}

After postdoctoral studies at the Mathematical Sciences Research Institute and an assistant professorship at the University of Wisconsin–Madison, she returned to Berkeley as a faculty member in 1993, was tenured in 1997, and became Chancellor's Professor in 2006. She also worked at Bell Labs from 1998 to 2000, while on leave from Berkeley, and has held visiting positions at several other universities. She chaired the Department of Statistics at Berkeley from 2009 to 2012, and was president of the Institute of Mathematical Statistics in 2014.[http://imstat.org/officials/current_officials.html Current officials] {{Webarchive|url=https://web.archive.org/web/20161031192628/http://www.imstat.org/officials/current_officials.html |date=2016-10-31 }}, Institute of Mathematical Statistics, retrieved 2013-04-24. In 2023, she was awarded the COPSS Distinguished Achievement Award and Lectureship.

Research

Yu's work spans many fields including statistics, machine learning, neuroscience, genomics, and remote sensing.{{Cite web|url=https://scholar.google.com/citations?user=xT19Jc0AAAAJ&hl=en&oi=ao|title=Google Scholar Profile for Bin Yu}} Her recent work has focused on data science, including frameworks for veridical data science{{Cite journal|last1=Yu|first1=Bin|last2=Kumbier|first2=Karl|date=2019-11-12|title=Veridical Data Science|url=https://www.pnas.org/content/pnas/117/8/3920.full.pdf|journal=PNAS|volume=117|issue=8|pages=3920–3929|doi=10.1073/pnas.1901326117|pmid=32054788|pmc=7049126|arxiv=1901.08152|doi-access=free}}{{Cite web|title=Bin Yu {{!}} Computing, Data Science, and Society|url=https://data.berkeley.edu/people/bin-yu|access-date=2020-10-19|website=data.berkeley.edu}} and interpretable machine learning.{{Cite journal|last1=Murdoch|first1=W. James|last2=Singh|first2=Chandan|last3=Kumbier|first3=Karl|last4=Abbasi-Asl|first4=Reza|last5=Yu|first5=Bin|date=2019-10-29|title=Interpretable machine learning: definitions, methods, and applications|journal=Proceedings of the National Academy of Sciences|volume=116|issue=44|pages=22071–22080|doi=10.1073/pnas.1900654116|pmid=31619572|pmc=6825274|arxiv=1901.04592|s2cid=204755862|issn=0027-8424|doi-access=free}} Yu has received recent news coverage regarding investigations into the theoretical foundations of deep learning,{{Cite web|title=UC Berkeley to lead $10M NSF/Simons Foundation program to investigate theoretical underpinnings of deep learning {{!}} Computing, Data Science, and Society|url=https://data.berkeley.edu/news/uc-berkeley-lead-10m-nsfsimons-foundation-program-investigate-theoretical-underpinnings-deep|access-date=2020-10-19|website=data.berkeley.edu}} and work forecasting COVID-19 severity in the US.{{Cite web|title=Getting the right equipment to the right people|url=https://engineering.berkeley.edu/news/2020/04/getting-the-right-equipment-to-the-right-people/|access-date=2020-10-19|website=Berkeley Engineering|language=en-US}}

Other research topics include dictionary learning, non-negative matrix factorization (NMF), EM and deep learning (CNNs and LSTMs), and heterogeneous effect estimation in randomized experiments (X-learner).

Honors and awards

Yu is a fellow of the Institute of Mathematical Statistics, the IEEE, the American Statistical Association, the American Association for the Advancement of Science, the American Academy of Arts and Sciences, and the National Academy of Sciences.[http://imstat.org/awards/honored_fellows.htm Honored fellows] {{Webarchive|url=https://web.archive.org/web/20161019175343/http://imstat.org/awards/honored_fellows.htm |date=2016-10-19 }}, Institute of Mathematical Statistics, retrieved 2013-04-24.[http://www.ieee.org/membership_services/membership/fellows/alphabetical/yfellows.html Directory of IEEE Fellows] {{Webarchive|url=https://web.archive.org/web/20130131034338/http://www.ieee.org/membership_services/membership/fellows/alphabetical/yfellows.html |date=2013-01-31 }}, retrieved 2013-04-24.[http://amacad.org/news/classlist2013.pdf Newly elected members] {{Webarchive|url=https://web.archive.org/web/20130501223006/http://www.amacad.org/news/classlist2013.pdf |date=2013-05-01 }}, American Academy of Arts and Sciences, April 2013, retrieved 2013-04-24. In 2012, she was the Tukey Lecturer of the Bernoulli Society for Mathematical Statistics and Probability. In 2018, she was awarded the Elizabeth L. Scott Award. She was invited to give the Breiman lecture at NeurIPS 2019 (formally known as NIPS), on the topic of [https://www.youtube.com/watch?v=yUJ9-CQDvn8 veridical data science].{{cite web|url=https://community.amstat.org/copss/awards/scott|title=Elizabeth L. Scott Award|access-date=30 March 2019|archive-url=https://web.archive.org/web/20180815201055/http://community.amstat.org/copss/awards/scott|archive-date=15 August 2018|url-status=dead}}{{cite web|url=https://bids.berkeley.edu/news/bin-yu-receives-prestigious-elizabeth-l-scott-award|title=Yu Award Release|access-date=30 March 2019|date=2018-07-12}}{{cite web|url=https://www.ipam.ucla.edu/news/bin-yu-receives-2018-elizabeth-l-scott-award/|title=Yu Award Release|access-date=30 March 2019|date=2018-09-11}}{{cite web|url=https://www.youtube.com/watch?v=yUJ9-CQDvn8|title=Breiman Lecture recording|website=YouTube |access-date=18 October 2020|date=2020-10-18}} In 2021, she was awarded an honorary doctorate by the University of Lausanne.{{Cite web |title=Bin Yu receives a doctorate honoris causa (honorary doctorate) from the Université de Lausanne's Faculty of Business and Economics {{!}} Department of Statistics |url=https://statistics.berkeley.edu/about/news/bin-yu-receives-doctorate-honoris-causa-honorary-doctorate-universite-de-lausannes |access-date=2023-12-11 |website=statistics.berkeley.edu}} And in 2023, she received the COPSS distinguished achievement lecture.{{Cite web |title=ASA Community |url=https://community.amstat.org/ |access-date=2023-12-11 |website=community.amstat.org |language=en}}

References

External links

[http://www.yufamily.org/src/ShiTao_AnInterviewWithProfessorBinYu.php?xref=YuFamily_YuBin_interview_cn/ A conversation with Professor Bin Yu] By Tao Shi, July 9, 2013

Category:Year of birth missing (living people)

Category:Living people

Category:American women statisticians

Category:Chinese statisticians

Category:Chinese women mathematicians

Category:Chinese mathematicians

Category:Peking University alumni

Category:UC Berkeley College of Letters and Science alumni

Category:UC Berkeley College of Engineering faculty

Category:University of Wisconsin–Madison faculty

Category:Fellows of the IEEE

Category:Fellows of the American Academy of Arts and Sciences