Anuj Raghav

I hold a Master’s degree in Physics from the University of Delhi where I also completed my undergraduate studies. Currently, I am working as an HSF-India Fellow, funded by the NSF and Princeton University, where I work on CMS open data on Higgs analysis. I am actively seeking PhD opportunities in Experimental High-Energy Physics.

As part of my work with HSF, I am developing a complete analysis pipeline using CMS Open Data.The goal is to create a structured and reproducible workflow that can serve as a practical guide for early-career researchers entering High Energy Physics. This summer, I’ll be presenting this work at Conference on Computing in High Energy and Nuclear Physics (CHEP) in Thailand.

Before joining HSF-India I completed my master’s thesis at University of Delhi under the similar lines, where I analyzed Drell-Yan process at the CMS experiment.

Alongside this research work, I’ve also spent time mentoring engineering and medical students in physics, which has sharpened how I think about communicating complex ideas clearly.

These days I am specifically curious about open-science and machine learning. My broader research interests lies in Experimental High Energy Physics, looking for new physics beyond standard model, working on HEP computational tools, and the usage of AI & ML in HEP - more specifically how AI can shape the next few years in this field.