'26
'25
  • 11/25 Preprint on Tangent approximation based variational inference for strongly super-Gaussian likelihoods submitted (arXiv).
  • 11/25 GitHub release of TAVIE-SSG.
  • 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, Austin, TX.
  • 09/25 Preprint on Bayesian Scientific Machine Learning for Structural Learning of Scientific Expressions submitted (arXiv).
  • 09/25 First official GitHub release of HierBOSSS.
  • 05/25 Graduate Intern in the Earth and Environmental Sciences (EES) Division at Los Alamos National Laboratory.
'24
  • 12/24 Talk on TAVIE: Tangent Approximation for Variational Inference in Different Exponential Families at IISA 2024.
  • 11/24 Paper on Sparse Almost Perfect Mutually Unbiased Bases (APMUBs) published in the Journal of Statistical Theory and Practice (Journal).