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Areas of interest
My research is around developing interpretable and trustworthy (robust, fair, and reliable) machine learning systems that can handle domain shifts and spurious correlations without significant failures. Lately, my work has been focused on foundation models and leveraging language models for interpreting various models, including those related to vision. I am also actively working on addressing copyright and parroting (memorization) issues in large generative models.
I am a Principal Machine Learning Research Scientist at Autodesk AI Research and an Adjunct Research Professor at the School of Computing Science (ranked #1 in Computer Vision in Canada), Simon Fraser University (SFU), Canada. Previously, I explored real-world machine learning and computer vision problems as a research scientist in startup environments.
I completed my PhD in Computing Science at SFU under the supervision of Prof. Ghassan Hamarneh. During my PhD I had multiple research visits/internships at different research institutions such as MILA (Montreal, Canada), Siemens Healtheneers (Princeton, USA), and Imagia (Montreal, Canada).
Outside of work, I have a strong passion for soccer and running track - the 100m sprint. I've had the privilege of competing and earning a few medals in inter-university competitions in these areas.
Courses
This instructor is currently not teaching any courses.