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I am a statistician and an Associate 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 was selected as the ASA/NSF/BLS Fellow at the Bureau of Labor Statistics in Washington D.C., 2018 – 2019, 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, and a fellow at OpenDP in summer 2021.

I also provide statistical consulting service, mainly on data privacy and confidentiality. Currently I am a statistical consultant for the New York City Department of Health and Mental Hygiene on microdata privacy and confidentiality protection projects.

Click here for my CV.

News:

MARCH 2022:

I will be presenting my work with Terrance Savitsky and Matthew Williams on Private Tabular Survey Data Products through Synthetic Microdata Generation at an invited session at the Joint Mathematical Meetings (virtual) in April 2022, at RAND’s Statistical Seminar in June 2022, and at Fields Institute Workshop on Differential Privacy and Statistical Data Analysis in July 2022. I will also present our newest work on Mechanisms for Global Differential Privacy under Bayesian Data Synthesis at a topic-contributed session at IMS Annual Meeting 2022 and an invited session at the Joint Statistical Meetings in August 2022.

I organized two invited sessions at ISBA 2022: Recent Advancements in Bayesian Methods for Statistical Data Privacy and Recent Developments in Bayesian Education. Can’t wait to be in Montreal for ISBA 2022!

I was one of the invited panelists at ASA Privacy Day Webinar in January 2022. Here is the session recording and here is the link to my slide deck on Incorporating Disclosure Risk in Designing Data Synthesis Models.

Kevin Ross and I will give an eCOTS workshop on Introducing Bayesian Statistical Analysis into Your Teaching, May 2022. Check it out here and many other great workshops!

Come and check it out: DataFest 2022 @ Vassar from April 1st to April 3rd, 2022!!

We are offering a co-taught, cross-campus Introduction to Data Science course, June 8 to August 5, 2022 for the fourth time! Registration opens soon so stay tuned. I am also sharing Vassar’s MATH 347 Bayesian Statistics again on the LACOL network for Spring 2022: check out the course recordings and teaching and learning materials at this GitHub repo.


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.