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Greetings! 👾
I am a machine learning researcher, broadly interested in solving the most impactful challenges in machine learning, computer vision, genetics, healthcare and longevity!
I am currently completing a Computer Science Specialist and Molecular Genetics Major at the University of Toronto (Trinity College), and have contributed to projects at the Vector Institute, AWS, and the University Health Network.
🎓 Affiliations
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Vector Institute:
Advisor: Prof. Michael Brudno
Working as a Machine Learning Research Intern generating facial structures from genetic markers using Latent Diffusion Models. -
Amazon Web Services:
Team: AWS RDS Export to S3
Completed a Software Development Engineer Internship where I optimized parallel export to S3 with EMR, Hadoop Spark, and EKS, saving ~$8M/year. -
MiDATA (University of Toronto):
❗MedSegGen was accepted at the RSNA Radiology Conference 2025 in Chicago❗🥳
Advisor: Prof. Pascal N. Tyrrell
Machine Learning Researcher developing MedSegGen, a mask-conditioned Latent Diffusion pipeline for low-label medical segmentation datasets. -
KITE (University Health Network):
Advisor: Prof. Babak Taati
Machine Learning Research Intern building InfiniPose, an autoregressive video pose detection model enabling infinite-length predictions.
🕰️ Past Affiliations
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Kadist (Artnow International) | Aug 2024 – Apr 2025:
Working as a Machine Learning Engineer developing RsonArt, a history-aware artist agent with RAG; scraped 300k artists into a pgvector DB. -
DIRO (University of Montreal) | Oct 2022 – Sep 2023:
Advisor: Prof. Houari Sahraoui
Working as a machine Learning Researcher. Represented Canada as 1 of 12 teams at the International Science and Engineering Fair (ISEF 2023) in Dallas for ASL to English translation models.
In my free time, I am a bookworm who loves to eat pho and explore niche cafes to study while sipping on chai latte!
