🤖 Machine Learning Engineer | 🧠 Neuroscientist | 🌐 Community Builder
Machine Learning at Vector Institute and University Health Network, Computer Science and Neuroscience student at the University of Toronto, ambitious to push the boundaries of developing Artificial Intelligence and understanding Biological Intelligence.
NeurIPS ML4H 2024 (U/R) Developed a state-of-the-art foundation model for Electronic Health Records, and Odyssey, the largest open-source library for full-stack EHR modeling. |
Nature Communications (U/R) Engineered a state-of-the-art model to optimize DNA sequences for protein expreesion in 164 organisms, and released the largest toolkit for codon optimization. |
- Vector Institute: Developing multimodal EHR foundation models (Jan 2024 - Present)
- University Health Network (WangLab): Building multimodal medical agent for chest X-ray (Sep 2024 - Present)
- Broad Institute of MIT and Harvard: Researching safety and privacy of healthcare models (Aug 2024 - Present)
- Mayo Clinic: Detecting cancer using contrastive learning of pathology and radiology images (Jul 2024 - Present)
- BorealisAI: Generating radiology reports with medical LLMs (Mar 2024 - Aug 2024)
- INSERM, France: Optimizing DNA sequences for protein expression (Jul 2023 - Sep 2024)
- iGEM Toronto: Generating novel plasmids with antimicrobial properties (Mar 2024 - Present)
- UofT Machine Intelligence Team: Predicting protein function, won 2nd prize in CUCAI 2024 (Aug 2023 - Jul 2024)
- UofT Filion & Koyama Lab: Translating zebrafish brain activity to body movements (May 2023 - Present)
- GenAI Genesis: Organizing Canada's largest AI hackathon as Founder & Co-Chair (Sep 2023 - Present)
- Google Developer Student Club: Leading GDSC @ UTSC (Aug 2023 - Present)
- International Biology Olympiad: Silver Medalist (2021)
