2020-2023: Postdoctoral Research Assistant, University of Oxford
2014-2020: Ph.D. in Physics, Cornell University
2010-2014: B.Tech. in Engineering Physics, IIT Bombay
I am a theoretical physicist, who previously worked on particle physics, and is currently interested in deep learning and neural networks.
I grew up in Trivandrum, in Kerala, India. I did my undergraduate studies at the Indian Institute of Technology, Bombay, where I majored in Engineering Physics, with honors, and a minor degree in Statistics. I did my Ph.D. in physics at Cornell University with Prof. Maxim Perelstein as my advisor. From 2020 to 2023, I was a postdoctoral research assistant at the Rudolf Peierls Centre for Theoretical Physics at the University of Oxford. I was also a Fulford Junior Research Fellow at Somerville College in Oxford.
In my past research, I worked on a broad range of problems in particle physics, from the electroweak phase transition and baryogenesis to neutrino physics. In the last few years of my physics career, I focused on alternative (non-particle) dark matter models and their consequences for experimental observations, from cosmological data to particle colliders.
Recently, I have become more interested in deep learning and neural networks, and I am on the lookout for opportunities in these areas. I am interested in applying machine learning methods to large datasets (which are common in many fields including physics) to glean new insights, as well as in research into building better and more efficient deep neural networks. My stint as a researcher in physics has equipped me with analytical skills and problem-solving instincts that I hope will transfer well to data science and machine learning.
Besides machine learning and physics, I also enjoy cryptic crosswords, baking and cooking (especially for friends), travel, photography, and occasionally playing videogames.
See this profile of me at Oxford for more! To see some of my photography, visit my Instagram.