Rishabh Dutt

I’m an undergraduate Machine Learning Research Assistant in Honors College, focused on turning complex biological and data signals into reliable, explainable model outputs. I benchmark DNABERT and HyenaDNA on Rutgers’ Amarel HPC cluster, generate DNA sequences for the lambda phage J protein region, and prepare transformer-ready genomic inputs through curated tokenization.

I also bring strong applied analytics experience from my role as a Data Analyst at Summit Revere Capital. I build Excel models for revenue, cost structure, and valuation metrics to support M&A due diligence, and I use Python scripts to source, filter, and screen 100+ firms against investment criteria.

My project work reinforces how I think end-to-end about modeling and impact: I benchmark GAT vs. GCN for molecular toxicity prediction, run OLS regression to quantify walkability’s relationship to CVD after confounder controls, and build an automated DCF model that exports to Excel. Through Rutgers Consulting Group, I co-author research on M&A and IPO trends by synthesizing 20+ sources into data-backed visuals.