About Me

I'm a PhD candidate in the computer science department at Purdue, advised by Prof. Ananth Grama. I have acquired tools from a diverse set areas including ML, deep learning, multi-modal learning, and network science. In my PhD, I have developed and applied tools from ML/data science in context to biomedical images -- in particular, functional MRIs of brains. I bring a computer scientist's perspective to interesting problems in connectomics. My solutions are rooted in computationally sound methods with good performance guarantees.

More broadly, I'm interested in solutions for challenging problems by means of clever models, and insights from different sciences. To this end, I actively develop new methods, while leveraging the power of relevant existing work. A key emphasis in my work is to find the right balance between interpretability and performance.

I also have experience in healthcare, single-cell transcriptomics, rehabilitation robotics (in DLR/German Aerospace Center), and wireless networks (in the Indian Institute of Science).

I'm looking for full-time jobs in academia and industry [Full CV and Resume].

Please send me an e-mail for research and/or teaching statements.

UPDATES:

  • Paper accepted in ICIP 2021

  • Paper accepted in SIGMOD 2021

  • Paper accepted in Frontiers in Neuroscience [2021]

  • Paper accepted in IJCAI 2020