At Topo Therapeutics, Inc., I analyze cryoEM single-particle data to detect and quantify ligand-induced changes in target proteins. I also develop automated tools for cryoEM processing, modeling, and conformational change prediction in support of preclinical drug discovery.
At Barabási Lab, I contribute to AI-Bind 2, a graph neural network framework for drug-target interaction prediction. I built a Bash pipeline that retrieves structures from PDB and compounds from PubChem, runs docking simulations, and extracts binding affinity scores to help validate model predictions.
At Northeastern University, I supported students in RNA-seq analysis, differential expression workflows, and Python/R programming as a Teaching Assistant for Transcriptomics. I developed coding tutorials and pipeline documentation, and provided debugging support.
At Sahyadri Post Harvest Care Ltd, I designed Python pipelines to extract, clean, curate, and quality-check data, processing more than 2,000 monthly data points. I also established Git-based version control and documentation standards for a five-person team, improving reproducibility by 25%.
