About Me

I recently received my B.E (Hons) degree in Computer Science and Engineering with a Minor in Data Science from the Birla Institute of Techonology and Science, Pilani (BITS Pilani). I am currently working as a research intern at the MIT Joint Program on the Science and Policy of Global Change where I am investigating the use of unsupervised and supervised Machine Learning approaches to predict extreme precipitation events and idenitfy accompanying synoptic scale atmospheric forcing patterns. I have previously worked in the fields of Computer Vision and Explainable AI and I am very interested in exploring these fields further and their applications in interdisciplinary research areas including climate science, agriculture, remote sensing, physics-guided machine learning and bio-medical image analysis.

Education

• B.E (Hons.) in Computer Science and Engineering
  Birla Institute of Technology and Science Pilani 2017 – 2021

Research Experience

• Research Intern, Massachusetts Institute of Technology
  Advisor: Dr. Xiang Gao
  Topics: Extreme Weather, Convolutional Neural Networks, Self Organizing Maps, Neural Network Ensembles

• Research Engineering / Scientist Assistant, The Univeristy of Texas at Austin
  Advisor: Dr. Michael H Young
  Topics: CyGNSS, SMAP, TxSON, Artificial Neural Networks

• Research Intern, Visual Computing Group, Harvard University
  Advisor: Prof. Hanspeter Pfister
  Topics: 3D Semantic Segmentation, Semi-Supervised Learning, Video Object Detection

• Research Intern, Aarhus University, Denmark
  Advisors: Prof. Rune Hylsberg Jacobsen and Dr. Jacob Høxbroe Jeppesen.
  Topics: Explainable AI, Layer-wise Relevance Propagation, LIME, Sentinel Satellite Data