- PhD Student
I am a computer scientist and mathematician who enjoys work in the areas and intersection of machine learning, computer systems, mathematics, and computer theory (primarily data structures). At Cambridge, I am a member of the Cambridge Resilient Autonomous Learning (CamRAL) Group supervised by Dr. Rika Antonova where I work on methods for learning dynamics for aligning the behaviour of contact-rich robotics simulations to reality.
Biography
I completed my Bachelors of Science with Honours at the University of Toronto in 2025, studying Computer Science and Mathematics, and I was a researcher in Dr. Rahul Krishnan’s group at the Vector Institute working on Machine Unlearning and Test-Time Adaptation. I was also a member of the Middleware Systems Research Group (MSRG) working with Dr. Hans-Arno Jacobsen and Dr. Grier Jones working on optimization algorithms for quantum circuit design. During the course of my undergraduate degree I also had the opportunity to work and do research in the fields of computer graphics, computational virology, and in the intersection of AI and performing arts.
Research
- Machine learning and its integration/co-development with time-sensitive and complex systems
- Automatic generation/intelligent design of neural architectures
- Evolving neural architectures
- On-The-Fly learning and domain adaptation
- Resource-constrained design
- Learning dynamics and uncovering governing relationships in data
