Hi! I am 1st year PhD student in the Department of Computer Science at the University of Toronto and the Vector Institute. I am co-supervised by Prof. Marzyeh Ghassemi and Prof. Frank Rudzicz. My research is focused on developing and interrogating machine learning models in safety-critical settings such as healthcare. I also work part-time as a Research Software Engineer at Winterlight Labs. I graduated from the University of Toronto with a Master’s degree in Applied Computing in 2019. My master’s project, generously supported by Winterlight Labs and a Mitacs Accelerate Scholarship, was supervised by Prof. Marzyeh Ghassemi, Prof. Frank Rudzicz, and Dr. Jekaterina Novikova. Prior to this, I graduated with honors from the Indian Institute of Technology, Guwahati, India in 2017 where I was fortunate to get to work with Prof. Amit Sethi. I have also held research intern positions at the Technische Universität, Dresden as a DAAD-WISE scholar in 2016 where I was supervised by Prof. Carsten Rother and Prof. Stefan Gumhold, and at the Philips Innovation Campus, Bengaluru in the healthcare R&D team in 2017.
Here is my CV.
Developing and understanding trustworthy machine learning and natural language processing techniques for healthcare applications: particularly using unstructured and noisy human-generated data, with core machine learning methodologies such as transfer learning and reinforcement learning.
Dec. 2020 - DeepMind fellowship I received a DeepMind PhD Fellowship award
Nov. 2020 - Spotlight talk at the 6th Workshop on Noisy User-generated Text I gave a spotlight talk at the 6th Workshop on Noisy User-generated Text at EMNLP 2020, presenting our work on the impact of automatic speech recognition on Alzheimer’s Disease detection from speech
Oct. 2020 - NeurIPS workshop acceptance Our paper “Train-test Overlaps in Clinical Natural Language Processing Datasets” was accepted to the Machine Learning for Health Workshop at NeurIPS, 2020
Jul. 2020 - Interspeech acceptance Our paper “To BERT or Not To BERT: Comparing Speech and Language-based Approaches for Alzheimer’s Disease Detection” was accepted to Interspeech 2020.
Teaching Assistant, Department of Computer Science, University of Toronto