Statistics Newsletter – May1-14, 2023

May 1-14, 2023

Research Highlights

On April 20th, six statistics majors and three data science majors presented research posters at CURC (Celebrating Undergraduate Research and Creativity) 2023. These posters were for research they worked on during last summer’s inaugural statistics department undergraduate research program. The College of Natural Sciences has an article about it here. We will be running our research program again this summer with a new set of projects and students.

Matt Koslovsky recently had two papers accepted. Both are student papers and both students are at Rice University:

A Bayesian Joint Model for Compositional Mediation Effect Selection in Microbiome Data

Authors: Jingyan Fu, Matthew D. Koslovsky, Andreas M. Neophytou, Marina Vannucci

Journal: Statistics in Medicine

Functional Concurrent Regression Mixture Models Using Spiked Ewens-Pitman Attraction Priors

Authors: Liang, M. Koslovsky, M.D., Hebert, E.T., Businelle, M.S., and Vannucci, M.

Journal: Bayesian Analysis


No meetings at this time.


May 1: Seminar at Noon in Engineering B101
Speaker: Jingyi Jessica Li

May 2: Department Awards Ceremony at 3:00 pm in the Longs Peak Room – Lory Student Center

May 5: Last Day of Classes

May 16: Spring grades due at 2:00 pm

Department News

Dan Cooley is the 2023 winner of the Distinguished Achievement Award from the ASA Section on Statistics and the Environment. Congrats!

Danielle Demateis was selected as a SoGES Sustainability Leadership Fellow! You can read more here.

Undergraduate Jin Peng has accepted an offer to enter the PhD program at Penn State University! She will begin her studies there this fall. Jin received our Undergraduate Academic Achievement Award for 2023 and our Undergraduate Early Academic Achievement Award for 2021. She also presented a research poster at the CURC 2023 research fair on work done with Haonan Wang and Gray Stanton in summer of 2022. We are delighted that Jin will be continuing her education in statistics.


The Statistics Teaching Working Group is open to all faculty, postdocs and grad students. Lunch is provided (RSVP to Kayleigh Keller). The group will meet one more time this semester:

May 3 at Noon in room 006 to discuss Accessibility & Attendance

May 2 at 4 pm and May 4 at 11:15 am in room 006 to talk about how the topics from the book apply to ChatGPT and other “large language models”.


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