I am a PhD student in Experimental High Energy Physics at the University of Delhi, working with the CMS Experiment at CERN. I currently work on Higgs analyses using Boosted Decision Trees (BDTs). I completed both my undergraduate and master’s studies in Physics at the same institution.
Before my PhD, I worked on a project supported by the National Science Foundation and Princeton University. There I developed a complete, reproducible analysis pipeline for the Higgs to WW process in the electron–muon final state using CMS Open Data. The project aimed to give early-career researchers entering High Energy Physics a structured, practical resource.
Earlier, for my master’s thesis at the University of Delhi, I analysed the Drell-Yan process at CMS, studying Z to electron-positron production as a precision QCD benchmark.
Lately I’ve been going down three rabbit holes: machine learning in HEP (mostly decision trees), quantum field theory (it keeps me humble), and open science.