Research Interests
I am broadly
interested in computer vision, LLMs, multi-modal ML, and
foundation models.
Research keywords:
Spatio-temporal Deep Learning, Generative Models, Predictive
Uncertainty, Representation Learning, Big Data.
Applied-ML
Areas: AI-Accelerated Therapeutics, Regenerative
Medicine, Genomics, 3D Bio-Printing, Medical Imaging,
Cardiac Disease, Brain Disorders, T1D, Histology, EHR.
Education
Research
Fellow - Machine Learning
Harvard University, USA.
PhD,
Electrical & Computer Engineering - Machine Learning
UBC, Vancouver, Canada.
GPA: 4.0/4 (1st-Class Standing)
![]() |
Receiving the Governor
General's Gold Medal |
![]() |
Recording lectures of the EECE 571T course titled "Advanced Machine Learning Tools for Engineers" with Prof. Yedlin at UBC studios. Lectures available on YouTube |
The recipient
of the ImFusion Artificial Intelligence
Translational Medicine Award, Rennes,
France. More |
![]() |
UBC RCL Group at MICCAI
Conference |
Office
address:
2131
Manitoba St
Vancouver, BC V5Y
0N7
Canada