Sen Zhao
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Machine Learning Engineer at Google Research |
Experience
Apr 2017 - present, Machine Learning Engineer, Google, Mountain View, CA
Mar 2016 - Jun 2016, Research Scientist Intern, Amazon.com, Seattle, WA
Education
Ph.D. in Biostatistics, University of Washington, Seattle, WA, 2017
B.A. in Economics and Mathematics, Carleton College, Northfield, MN, 2012
Publications
Network Differential Connectivity Analysis
Zhao, S., Ottinger, S., Peck, S., Mac Donald, C., and Shojaie, A. (2019)
(arXiv)In Defense of the Indefensible: A Very Naïve Approach to High-Dimensional Inference
Zhao, S., Shojaie, A., and Witten, D. (2019)
(arXiv)Metric-Optimized Example Weights
Zhao, S., Milani Fard, M., Narasimhan, H., and Gupta, M. (2019)
In Proceedings of the 36th International Conference on Machine Learning, volume 79, pages 7533-7542 (arXiv)Kernel-Penalized Regression for Analysis of Microbiome Data
Randolph, T. W., Zhao, S., Copeland, W., Hullar, M., and Shojaie, A. (2018)
Annals of Applied Statistics, 12(1): 540-566 (arXiv)A Significance Test for Graph-Constrained Estimation
Zhao, S., and Shojaie, A. (2016)
Biometrics, 72(2): 484-493 (arXiv)
Conference Talks
International Conference on Machine Learning, Long Beach, CA, 2019
Global Artificial Intelligence Conference, Santa Clara, CA, 2019
Global Artificial Intelligence Conference, Boston, MA, 2018
Global Big Data Conference, Santa Clara, CA, 2018
Open Data Science Conference, San Francisco, CA, 2017
Joint Statistical Meetings, Chicago, IL, 2016
International Biometric Conference, Victoria, BC, 2016
International Chinese Statistical Association Applied Statistics Symposium, Atlanta, GA, 2016
Conference on Statistical Learning and Data Science, Chapel Hill, NC, 2016
Seattle Symposium in Biostatistics, Seattle, WA, 2015
Joint Statistical Meetings, Seattle, WA, 2015
Western North American Region of the International Biometric Society Annual Meeting, Boise, ID, 2015
Northfield Undergraduate Mathematics Symposium, Northfield, MN, 2011
Midwest Economic Association Annual Meeting, Evanston, IL, 2010
Reviews
AAAI’20, ACML’19, AISTATS’20, AISTATS’19, ICLR’20, ICLR’19, ICML’19, NeurIPS’19, NeurIPS’18, Biometrika, JASA, JMLR, JMVA
Selected Awards and Honors
Outstanding Ph.D. Student Award, University of Washington, 2017
David P. Byar Young Investigator Award, American Statistical Association, 2016
Donovan J. Thompson Award, University of Washington, 2014
A. M. Harrison Prize, Carleton College, 2012
Robert J. Kolenkow and Robert A. Reitz Fellow, Carleton College, 2011
Mayo Innovation Scholar, Carleton College, 2010
Quantitative Inquiry, Reasoning, and Knowledge (QuIRK) Scholar, Carleton College, 2009