03/12/2026 - Paper on "Cyclic Graphical Generalized Latent Factor Model" has been selected for contributed talk at the Conference of Texas Statisticians which will be held at The University of Texas at Austin on April 10-11, 2026.
01/30/2026 - I will give a tutorial on "Multimodal Integration and Multimodal Causal Inference using R/Bioconductor" at ISMB Conference held by International Society for Computational Biology at Washington DC on July 06, 2026.
01/23/2026 - Our article on "Conformalized Multiview Learning" is now available on bioRxiv. See preprint here.
10/23/2025 - Our article on "Bayesian Cooperative Learning on Multimodal Data Integration" is now available on bioRxiv. See preprint here.
03/17/2025 - I won the "Newton's Dean Excellence in Service to Science Award" from Texas A&M University.
05/20/2024 - I have joined Merck as a Biostatistics Summer Intern at their Biostatistics and Research Decision Sciences department. I will be developing Bayesian models for incomplete block crossover clinical trials.
05/02/2024 - Poster on "Directed Cyclic Graph for Causal Discovery from Multivariate Functional Data" wins Gold prize in SETCASA poster competition.
10/20/2023 - I am selected as one of the recipients of "Scholar Award" from NeurIPS.
09/22/2023 - Our paper on "Directed Cyclic Graph for Causal Discovery from Multivariate Functional Data" was accepted at Advances in Neural Information Processing Systems (NeurIPS). See you all in New Orleans.
06/15/2023 - Our paper on "On Consistency and Asymptotic Normality of Least Absolute Deviation Estimators for 2-dimensional Sinusoidal Model" is now available on arxiv. See preprint.
08/30/2021 - I have joined the Department of Statistics at Texas A&M University as a PhD student.