Home

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 and June to August 2021.

I was selected as the ASA/NSF/BLS Fellow at the Bureau of Labor Statistics in Washington D.C., 2018 – 2019.

Click here for my CV.

News:

FEB 2021:

I will be presenting my work with Terrance Savitsky and Matthew Williams on Risk-efficient Bayesian Data Synthesis for Privacy Protection at invited sessions at 2021 The Sixth International Conference on Establishment Statistics. Mine Dogucu and I are presenting our Bayesian teaching experience and resources at SDSS 2021 in June 2021.

Kevin Ross and I will give a USCOTS workshop on Introducing Bayesian Statistical Analysis into Your Teaching, June 2021. Check it out here and many other great workshops!

Come and check it out: DataFest 2021 @ Vassar from April 16th to April 18th, 2021!!

We are offering a co-taught, cross-campus Introduction to Critical Data Science course, June 6 to August 6, 2021 for the third time! Registration opens on March 22, 2021.

Colin Rundel, Kevin Ross and I are hosting a panel discussion on Bayesian Methods and the Statistics and Data Science Curriculum as part of the CAUSE and JSDSE series.

I am giving a talk on my work with Terrance Savitsky and Matthew Williams on Private Tabular Survey Data Products through Synthetic Microdata Generation at brown bag series at the National Center for Science and Engineering Statistics (NCSES).


JAN 2020:

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. 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 co-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.

My Probability and Bayesian Modeling book with Jim Albert was published by CRC Press in the Texts in Statistical Science series!


MAY 2019:

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.

I am giving a workshop on Teaching a Shared/Hybrid/Online Course using Zoom at the Blended Learning in the Liberal Arts Conference on May 22nd, 2019!

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.