Ray Bai

@raybai07

Assistant Professor at @GMUStatistics, French bulldog owner, and pop culture enthusiast. Also on 🦋: raybai07. 👨‍🏫📊 📚👨‍🍳🏳️‍🌈

Columbia, SC

Joined November 2019

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1KFollowers

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Ray Bai@raybai07 · Jul 3

The Summer REU I'm supervising wraps up next week! My students did an excellent job studying spatial models for disease mapping & causal inference and implementing these models on real public health data from North Carolina! Looking forward to their final report and presentation!

raybai07's tweet image. The Summer REU I'm supervising wraps up next week! My students did an excellent job studying spatial models for disease mapping &amp; causal inference and implementing these models on real public health data from North Carolina! Looking forward to their final report and presentation!

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Ray Bai@raybai07 · May 31

Although I'm moving to GMU at end of July, I'm still so excited to be leading a 6-week summer REU at UofSC starting this Mon! I'll be working on spatial causal inference models for disease mapping w/ a small team of undergrad researchers. Excited to see what we can accomplish. :)

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Ray Bai@raybai07 · Jul 24

Hard at work this summer before the Fall semester begins. Another new preprint "BiSSLB: Binary spike-and-slab biclustering for binary datasets" with my PhD student Sijian Fan should be available in the next few weeks!

raybai07's tweet image. Hard at work this summer before the Fall semester begins. Another new preprint "BiSSLB: Binary spike-and-slab biclustering for binary datasets" with my PhD student Sijian Fan should be available in the next few weeks!

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Ray Bai@raybai07 · Jul 21

Another new preprint coming soon, hopefully in the next few weeks! This is work from the summer REU that I supervised this past summer. The undergrad students did a great job.

raybai07's tweet image. Another new preprint coming soon, hopefully in the next few weeks! This is work from the summer REU that I supervised this past summer. The undergrad students did a great job.

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Ray Bai@raybai07 · Jul 19

New preprint coming soon! Variational Bayes (VB) is a scalable approach for conducting Bayesian variable selection when p>>n, but the standard mean-field CAVI algorithm results in poorly calibrated predictions. We introduce a novel parameter-expanded sheme to correct this issue.

raybai07's tweet image. New preprint coming soon! Variational Bayes (VB) is a scalable approach for conducting Bayesian variable selection when p&gt;&gt;n, but the standard mean-field CAVI algorithm results in poorly calibrated predictions. We introduce a novel parameter-expanded sheme to correct this issue.

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Ray Bai@raybai07 · Jun 30

Celebrating 8 years of #love and #pride! Happy Pride Month! 🧑‍🤝‍🧑🏳️‍🌈

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Ray Bai@raybai07 · Jun 28

I had a truly lovely time at BNP 14: the 14th International Conference on Bayesian Nonparametrics at UCLA this past week! I gave a talk, listened to many interesting talks, & chatted with a number of folks. I'll definitely attend a BNP conference again in future!

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Ray Bai@raybai07 · Jun 22

I'm headed to Los Angeles, CA today to attend the BNP 14 Conference on Bayesian nonparametrics at UCLA! I will be in L.A. this whole upcoming week. Please feel free to reach out if you would like to meet up!

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Ray Bai@raybai07 · Jun 17

Excited to give a talk for Merck Oncology this Friday! I'll be talking about my work w/ my former PhD student Zile Zhao on treatment switching in survival trials. I hope that the research team at Merck finds our statistical framework useful for their clinical trials!

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Ray Bai@raybai07 · Jun 12

If anyone is attending the IISA 2025 Conference at U. Nebraska-Lincoln this week, check out Session 04.M2.I72: Recent advances in high-dimensional modeling on Sun., Jun 15, 10:45 am-12:15 pm! My recent work on Bayesian VAR models (w/ Partha Sarkar of FSU) will be presented then!

raybai07's tweet image. If anyone is attending the IISA 2025 Conference at U. Nebraska-Lincoln this week, check out Session 04.M2.I72: Recent advances in high-dimensional modeling on Sun., Jun 15, 10:45 am-12:15 pm! My recent work on Bayesian VAR models (w/ Partha Sarkar of FSU) will be presented then!

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Ray Bai@raybai07 · Jun 2

Our paper "Sparse high-dimensional linear mixed modeling with a partitioned empirical Bayes ECM algorithm" in Statistics and Computing is now available online! Read at the link below. 👇 Link: doi.org/10.1007/s11222…

raybai07's tweet card. Statistics and Computing - High-dimensional longitudinal data is increasingly used in a wide range of scientific studies. To properly account for dependence between longitudinal observations,...

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Ray Bai@raybai07 · Jun 2

Excited to work with summer REU students for the next 6 weeks! We will use statistical methods to create beautiful maps of both estimated disease prevalences and counterfactual prevalences under a spatial causal model.

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Ray Bai@raybai07 · May 23

Some other good news! My paper "Sparse high-dimensional linear mixed modeling with a partitioned empirical Bayes ECM algorithm" (w/ @ZgodicAnja, Jiajia Zhang, @peterolejua, & @AlexanderMcLai2) has been accepted by Statistics and Computing! Link to paper: tinyurl.com/yu2f8rrv

raybai07's tweet image. Some other good news! My paper "Sparse high-dimensional linear mixed modeling with a partitioned empirical Bayes ECM algorithm" (w/ @ZgodicAnja, Jiajia Zhang, @peterolejua, &amp; @AlexanderMcLai2) has been accepted by Statistics and Computing!

Link to paper: tinyurl.com/yu2f8rrv

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Ray Bai@raybai07 · May 21

✨Some news!✨ I have decided to accept a new faculty position at George Mason University, starting this August! I'm looking forward to moving to the Washington D.C. area and continuing my research at GMU. I greatly valued my time as faculty in @uofscstatistics! Forever to thee

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Ray Bai@raybai07 · May 7

New paper (with Qingyang Liu, Shijie Wang, and Dipankar Bandyopadhyay)! Motivated by periodontal studies, we introduce a new neural network-based robust single-index model. Our method is suitable for skewed and heavy-tailed data. Read the preprint here: arxiv.org/abs/2505.02153

raybai07's tweet image. New paper (with Qingyang Liu, Shijie Wang, and Dipankar Bandyopadhyay)! Motivated by periodontal studies, we introduce a new neural network-based robust single-index model. Our method is suitable for skewed and heavy-tailed data.

Read the preprint here: arxiv.org/abs/2505.02153

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Ray Bai Retweeted

UofSC Statistics Department@uofscstatistics · May 6

✨STUDENT SPOTLIGHT✨ Christian Geils (BS 25) will be the 1st ever student to graduate with a BS in Data Science from USC! Christian conducted research on explainable AI for computational chemistry and founded the university's first AI/ML club called GAMA tinyurl.com/4h9wstae

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Ray Bai@raybai07 · Apr 18

Congrats to my student Sijian for being one of the winners for Best Student Talk at the SC-ASA Palmetto Symposium today! I really enjoyed all of the student talks. Keep up the great work!

UUofSC Statistics Department@uofscstatistics · Apr 18

Wonderful time at the Palmetto Symposium today where we heard many great research presentations by grad students! The winners for Best Student Talks were Sijian Fan, Everette Keller, Jed Lindborg, William Fisher,& Ahmer Raza (not pictured). We congratulate all student presenters!

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Ray Bai@raybai07 · Apr 14

New preprint coming out later this month! I'm excited for this work, as I have been continuing to explore deep learning for challenging statistical problems - both from methodological/theoretical and applied perspectives.

raybai07's tweet image. New preprint coming out later this month! I'm excited for this work, as I have been continuing to explore deep learning for challenging statistical problems - both from methodological/theoretical and applied perspectives.

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