'26
- 12/26 NewStudent Paper Award presentation on Probabilistic Symbolic Regression for Equation Discovery via Operator-induced and Regularized Symbolic Forests (arXiv:2509.19710) at IISA 2026 in Varanasi, India.
- 11/26 Invited talk on Probabilistic Symbolic Regression for Equation Discovery via Operator-induced and Regularized Symbolic Forests (arXiv:2509.19710) at the Symbolic AI & ML Workshop in São Paulo, Brazil.
- 10/26 TAVIE-SSG was accepted for publication in Journal of the American Statistical Association (Theory & Methods).
- 10/26 HierBOSSS was awarded the TAMIDS Student Travel Grant for its presentation at the Symbolic AI & ML Workshop in São Paulo, Brazil.
- 06/26 VaSST was accepted at UAI 2026.
- 05/26 HierBOSSS secured 2nd place in the TidBit session of the Best of Statistical Science (BOSS 2026) conference.
- 04/26 HierBOSSS was awarded the 2026 IMS Hannan Graduate Student Travel Award for its presentation at the 2026 ISBA World Meeting in Nagoya, Japan.
- 04/26 HierBOSSS was awarded the 2026 ASA SDSS Student and Early Career Scholarship by the American Statistical Association.
- 04/26 HierBOSSS was awarded the Research and Presentation (RAP) Travel Award by the Texas A&M University Graduate School.
- 03/26 Our work on VaSST: Variational Inference for Symbolic Regression using Soft Symbolic Trees was submitted (arXiv).
- 02/26 I will be joining Upstart as a Research Scientist Intern this summer.
- 02/26 HierBOSSS was featured in Texas A&M College News [http://tx.ag/SomjitRoy].
- 02/26 Our work on Frequentist Regret Analysis of Gaussian Process Thompson Sampling via Fractional Posteriors was submitted (arXiv).
- 01/26 Invited talk on Hierarchical Bayesian Operator-induced Symbolic Regression Trees for Structural Learning of Scientific Expressions (arXiv:2509.19710) at the 2026 Symposium on Data Science & Statistics in Milwaukee, Wisconsin.
- 01/26 Our work Hierarchical Bayesian Operator-induced Symbolic Regression Trees for Structural Learning of Scientific Expressions (arXiv:2509.19710) was awarded the 2026 Section on Bayesian Statistical Science (SBSS) Student Paper Award by the American Statistical Association.
'25
- 11/25 Our preprint on Tangent approximation based variational inference for strongly super-Gaussian likelihoods was submitted (arXiv).
- 11/25 TAVIE-SSG was released on GitHub.
- 10/25 Talk on Bayesian Symbolic Regression for Structural Learning of Scientific Expressions at STAT CAFÉ, Texas A&M University.
- 09/25 Invited talk on SPINWAVE at the minisymposium Computational Methods for Multiscale and Multiphysics Problems during the 8th Annual SIAM Texas–Louisiana Workshop in Austin, Texas.
- 09/25 Our preprint on Bayesian Scientific Machine Learning for Structural Learning of Scientific Expressions was submitted (arXiv).
- 05/25 I joined the Earth and Environmental Sciences (EES) Division at Los Alamos National Laboratory as a Graduate Intern.
'24
- 12/24 Talk on TAVIE: Tangent Approximation for Variational Inference in Different Exponential Families at IISA 2024.
- 11/24 Our paper on Sparse Almost Perfect Mutually Unbiased Bases (APMUBs) was published in the Journal of Statistical Theory and Practice (Journal).