Hello! I am a PhD Researcher obtaining a dual-degree in Physics, Statistics & Data Science at the Laboratory for Nuclear Science, Massachusetts Institute of Technology (MIT) working at the intersection of Physics and Machine Learning. Currently located in Geneva, Switzerland @ CERN! In a past life, I was a Caltech undergraduate in Physics and grew up in Albuquerque, New Mexico.
Member of both CMS and LIGO Collaborations!
My projects include:
- Novel machine learning architectures for jet tagging, mass decorrelation @ CMS, LHC
- Anomaly detection to detect core-collapse supernovae, fast radio bursts, magnetars, etc. @ LIGO
- Search for Light Scalars and Pseudoscalars decaying to tau lepton pairs @ CMS, LHC
- Developing precision measurement experiment to detect new physics @ DarkQuest
- Compressing data using autoencoder latent spaces to read data off HGCAL at 40 MHz @ CMS, LHC
- Transformers for detecting binary black hole mergers @ LIGO
- Self-play algorithms to understand the Royal Game of Ur @ Société Internationale d’UR
Check out my Google Scholar!
Awards
- MIT Deans of Science Fellowship
- National Science Foundation (NSF) – GFRP Fellowship
- Institute for Research and Innovation in Software for High Energy Physics (IRIS-HEP) Fellowship
- D.S. Kothari Prize in Experimental Physics (Caltech)
- Green Memorial Prize in Experimental Physics (Caltech)
- Mellon Mays Foundation Fellow (Caltech)
- Taylor W. Lawrence Fellow (Caltech)
Affiliations
