Peng Yu (于鹏)
PhD Student
Statistics
University of Wisconsin-Madison
1300 University Ave
Madison, WI 53706
peng.yu AT wisc.eduMy CV
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I am a 4th year PhD student at the University of Wisconsin-Madison advised by Professor Michael A. Newton. My research interest lies in empirical and nonparametric Bayes. Currently, I am working on a Bayesin computational framework for early stage drug discovery (esdd)
Before that, I obtained my bachelor's degree in statistics from Peking University in 2018. I was fortunate to be advised by Professor Wei Lin and Professor Lan Wu. I was a visiting student at the University of Washington in Summer 2017.
Publications
Predicting kinase inhibitors using bioactivity matrix derived informer sets.
H. Zhang, S.S. Ericksen, C. Lee, G.E. Ananiev, N. Wlodarchak, P. Yu, J.C. Mitchell, A. Gitter, S.J. Wright, F.M. Hoffmann, S.A. Wildman, and M.A. Newton.
PLoS Computational Biology 15 (8), e1006813,2019.
Teaching
Fall 2019 [TA]: STAT 628 Data Science Practicum. Instructor: Prof. Hyunseung Kang Spring 2019 [TA]: STAT 324 Introductory Applied Statistics for Engineers. Instructor: Chelsey Green Fall 2018 [TA]: STAT 324 Introductory Applied Statistics for Engineers. Instructor: Jurijs Nazarovs
Misc.
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