I am a second year PhD student at the CISPA Helmholtz Center for Information Security in Saarbrücken, advised by Rebekka Burkholz. I work on building provable algorithms for deep learning and am currently interested in algorithms related to sparsity in neural nets.
Specifically I am interested in the Lottery Ticket Hypothesis and how it can help identify the underlying structure of a learnt network.
I have completed my Masters from the ECE Department, Carnegie Mellon University in Pittsburgh, PA. During this time I worked on building Optimization algorithms with theoretical guarantees for training Machine Learning models in large scalable systems with the Optimization, Probability and Learning Group (OPAL) advised by Prof. Gauri Joshi.
Prior to my Masters at CMU, I was an undergraduate at BITS Pilani in India. As an undergraduate, I was fortunate to work with Prof Rajiv Soundararajan at the Indian Institute of Science on my Bachelor Thesis. Here, I worked on designing Image Quality Assessment models that are able to perceive images like the Human Visual System.
Feel free to get in touch with me!