I am a statistician and an Assistant Professor in the Department of Mathematics and Statistics at Vassar College. I received my Ph.D. in statistics from Duke University Department of Statistical Science in 2015 (advisor: Jerry Reiter) and my BSc in Computing Mathematics, Department of Mathematics, City University of Hong Kong in 2011.
I am a faculty fellow of Data Analysis and Statistics Research Opportunities with NSF, National Center for Science and Engineering Statistics (NCSES), June to December 2020.
Click here for my CV.
Jim Albert and I will give a JSM short course on Bayesian Thinking: Fundamentals, Computation, and Hierarchical Modeling.
I will be presenting my work with Terrance Savitsky on Risk-efficient Bayesian Data Synthesis for Privacy Protection at invited sessions at the Joint Statistical Meetings 2020 and 2020 The Sixth International Conference on Establishment Statistics. Also at Westat, Smith College and UMass Amherst in Spring 2020.
We are offering a co-taught, cross-campus Introduction to Critical Data Science course, June 10 to August 7, 2020 again! Registration opens on March 1, 2020. I will be presenting aspects of the course at OLC Innovate in Chicago in April 2020.
Come and check it out: DataFest 2020 @ Vassar from April 17th to April 19th, 2020!!
I am sharing Vassar’s MATH 301 Data Confidentiality and MATH 399 Bayesian Inference with Python on the LACOL network for Spring 2020.
I am sharing Vassar’s MATH 347 Bayesian Statistics again on the LACOL network for Fall 2019.
I am co-teaching a cross-campus Introduction to Critical Data Science course, June 3 to July 26, 2019, with colleagues from Swarthmore College, Washington and Lee University, and Williams College.
Come and check it out: DataFest 2019 @ Vassar from April 12th to April 14th, 2019!!
I am giving seminars on recent collaborative work on Bayesian Pseudo Posterior Synthesis for Data Privacy Protection (seminar slides; manuscript) at the US Census Bureau and USDA National Agricultural Statistical Services in March 2019.