News

	May 2026	Our preprint of “Stein kernelized molecular dynamics for active learning of interatomic potentials” is now on ArXiv.
	Apr 2026	I defended my thesis, “Goal-Oriented Learning of Stochastic Dynamical Systems”, for the PhD in Computational Science & Engineering at MIT.
	Mar 2026	I gave a talk and co-organized two minisymposia, Advances in MCMC Sampling Methods and UQ for Multiscale Modeling in Computational Chemistry, at the SIAM Conference for Uncertainty Quantification in Minneapolis, MN.
	Mar 2026	Our preprint of “Goal-oriented learning of stochastic differential equations using error bounds on path-space observables” is now on ArXiv.
	Nov 2025	I presented a poster on “A goal-oriented loss for learning transition times with machine learning potentials” at the CoMPASs Workshop at the International Center for Mathematical Sciences (ICMS) in Edinburgh, UK.
	May 2025	I gave a talk and co-organized a minisymposium Learning Dynamical Systems and Their Observable Statistics at the SIAM Conference on Applications of Dynamical Systems in Denver, CO, along with Matthew Levine and Han Cheng Lie.
	Apr 2025	Our paper “Data Curation for Machine Learning Interatomic Potentials by Determinantal Point Processes” was accepted to the ICLR 2025 Workshop on AI for Accelerated Materials Design in Singapore.
	Jul 2024	I was awarded a Young Researchers Grant to present at JuliaCon 2024 in Eindhoven, the Netherlands.
	Jun 2024	I was awarded a visiting PhD fellowship at the SFB 1294 Center for Data Assimilation, hosted in the Institute of Mathematics at the University of Potsdam.
	Mar 2024	I gave a talk at the SIAM Conference on Uncertainty Quantification in Trieste, Italy.
	Jun 2023	I worked with Habib Najm as a Graduate Research Intern at Sandia National Laboratories in Livermore, CA.
	Jun 2023	I gave a talk at the International Conference on Uncertainty Quantification in Computational Science and Engineering (UNCECOMP) in Athens, Greece.
	Jul 2022	I gave a talk at the European Workshop on Structural Health Monitoring (EWSHM) in Palermo, Italy.
	Jun 2022	Dallas Foster, Jayanth Jagalur-Mohan, and I won the Best Poster Award for our poster “Bayesian Modeling and Active Learning for Molecular Dynamics” at the CECAM Workshop on Error Control in First Principles Modeling in Lausanne, Switzerland.
	Feb 2022	I started my PhD program in Computational Science & Engineering at MIT.