ABOUT ME

I'm a PhD student at Northwestern University's Department of Physics and Astronomy and at the Center for Interdisciplinary Exploration and Research in Astrophysics (CIERA). I am working at the intersection of time-domain astronomy and machine learning with Professor Adam Miller. Specifically, I am interested in building state-of-the-art machine learning classification and anomaly detection systems for current and future astrophysical surveys, like the Legacy Survey of Space and Time (LSST).

I graduated with James Scholar Honors from the University of Illinois Urbana-Champaign with a Bachelors in Computer Science and Astronomy and a minor in Statistics. At Illinois I received the Stanley Wyatt Memorial Award, presented to the graduating Astronomy major with the most outstanding GPA and track record of undergraduate research. During my time there, I also received 2021 LSSTC Science Catalyst Grant and the 2024 Preble Scholarship for my research in multi-messenger astronomy and machine learning. I did my senior thesis work with Professor Gautham Narayan, working on modelling kilonova discovery rates and developing new ML methods to find rare transients.

In the past, I have interned in both research and engineering roles at Country Financial, the National Centre for Supercomputing Applications (NCSA), and IIT Bombay. Fundamentally, I am interested in applying computational methods to solve scientific problems. In particular, I am interested in machine learning and scientific computing.

PUBLICATIONS

You can find an updated list of my publication on Google Scholar or on my CV.

FIND ME

Feel free to reach out over email or LinkedIn if you want to chat!

Email: Northwestern Directory
LinkedIn: @vedgshah
Github: @dev-ved30
ORCiD: 0009-0009-1590-2318

PS: Because of really annoying bots 🤖, I am no longer making my email available here. If you are a human, this information is only a click away.