About

I am a doctoral student at the Computational Cancer Genomics lab at ETH Zurich. I joined ETH in Fall 2021. Prior to this, I was an integrated master student at International Institute of Information Technology Bangalore. Integrated master is a 5-year program that confers both undergrad and postgrad degrees. I graduated in July 2021 with a B.Tech in Computer Science Engineering and an M.Tech in Data Science. My master thesis focused on building cancer survival models using multi-omics integration and few-shot learning.

Over the last few years, I have built systems that aim to tackle problems in the field of molecular biology - drug discovery, proteomics, genomics etc using machine learning and deep learning techniques. I also like to keep a special eye on making sure that the technologies used in these systems are explainable. Neural networks and artificial intelligence hold a lot of promise. They have delivered state-of-art performances in so many fields of research. And I wish to bring similar success to the field of molecular biology. My doctoral research tries to take a step in this direction. I am currently focusing on deciphering the effects of non-coding mutations in cancer using artificial intelligence.

Besides building neural networks and automating processes, football is my other passion - playing the beautiful game, watching a live game, and FIFA. I also enjoy binge-watching every now and then.