Software Projects

A parser for an extension of the BigSMILES notation.

A Parameter-Free Tour of the Binary Black Hole Population.

Research work: Leveraging Data Mining, Active Learning, and Domain Adaptation in a Multi-Stage, Machine Learning-Driven Approach for the Efficient Discovery of Advanced Acidic Oxygen Evolution Electrocatalysts.

LangGraph-based research assistant that generates comprehensive reports for research topics.

Implementation for the NeurIPS 2023 paper “Training neural operators to preserve invariant measures of chaotic attractors”.

Fast, reproducible 1D axisymmetric experiments for the diffusive instability in dusty disks.

Empirical Bayes Matrix Factorization in PyTorch.

Machine learning for Auger-electron spectroscopy (AES) and x-ray photoelectron spectroscopy (XPS).

Hackathon 2026: Predicting the 3D molecular structures of transition states using just reactant and product geometries.

Hackathon 2026: Building a multi-agent Knowledge Graph extraction pipeline that transforms unstructured clinical transcripts into structured patient representations.