My name is Sanjit Shashi. I am a postdoctoral scholar primarily housed in the Computer Science and Engineering department in the University of California, Santa Cruz, working primarily with Razvan Marinescu. My research is primarily focused on applying the mathematical tools of physics for machine learning.
I graduated from the University of Chicago in 2016 with a bachelor's in math and completed my PhD in theoretical physics in 2023 at the University of Texas at Austin.
For a complete list of my papers, please refer to my page on the inSPIRE database or to my CV.
Most of my physics work concerns holographic duality or "holography," a mathematical equivalence between theories of quantum gravity and theories describing quantum phenomena with no gravity. Duality is nothing new to physics, with perhaps the most well-known example being the equivalent treatments of light as either a particle or a wave. Gravity is no different, and (in my view) holographic duality is no less profound.
As for my work in computer science, I am currently working on applying theoretical physics to the development of novel methods and approaches to machine learning research. Right now, we are creating models that leverage the structure of holographic space and, in particular, AdS. You can read our first paper on this topic here.
Email: sashashi@ucsc.edu
GitHub: SanjShashi