About Me
I’m a recent graduate of IIT Roorkee, enthusiastic about Interdisciplinary and Applied Research involving Data. I am keen on designing computational solutions for problems in healthcare. I aim to create positive impact through my work, and try to strike a balance in everything I do :)
I started my MS in Applied Computing at the Department of Computer Science, University of Toronto from Fall 2022.
As a person, I’m chirpy- I adore striking conversations with new people and knowing more about them. I am a passionate debater and have represented my University at various levels. I’m involved in the campus journalistic activites and also love playing Badminton. I do well in diverse team-based environments and prize effective communication in my approach.
Feel free to connect!
Interests
- AI for Social Good
- Causality, Reinforcement Learning
- Healthcare, Public Policy
Education
B. Tech in Civil Engineering(Major), Computer Science(Minor), 2022
Indian Institute of Technology (IIT) Roorkee
AISSCE-Science Stream, CBSE , 2018
The Mother's International School
News
Aug 2022: Heading over to University of Toronto for Master of Science in Applied Computing, Fall 2022 cohort.
May 2022: Graduated from IIT Roorkee.
Mar 2022: Our paper “VacSIM: Learning effective strategies for COVID-19 vaccine distribution using reinforcement learning” has been accepted at Elsevier’s Intelligence Based Medicine!
Jun 2021: Awarded the DAAD-WISE Fellowship! Will be working remotely (COVID-19) Prof. Frank Hutter at the Machine Learning Lab, University of Freiburg.
May 2021: Working as a Data Science intern at Plio.
Jun 2020: Will be aiding scientific efforts against COVID-19 by working as a research intern at Dr. Tavpritesh Sethi’s lab.
Apr 2020: Accepted as a research intern at Lichtman Lab, IISc! Will be working remotely (COVID-19) with Prof. Jeff Lichtman over the upcoming summer.
Sep 2019: Our paper “Long Span Arch Bridges in India: Design Aspects and Aesthetics” has been accpeted at ARCH 2019
