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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 a Member of Technical Staff (Intern) at Ideogram, training text-to-image models from scratch on the Core Machine Learning Research team. I am also completing a Computer Science Specialist and Molecular Genetics Major at the University of Toronto (Trinity College; expected April 2027), and I have previously worked at the Vector Institute, Amazon Web Services RDS, and the University Health Network.
❗ News! 📝
- ❗Ideogram 4.0 is now released as the best open-weight image model!❗
- ❗Pain in 3D: Generating Controllable Synthetic Faces for Automated Pain Assessment was accepted at ICPR 2026 (Lyon, France) — [arxiv] [Code] [Project page]❗
- ❗MedSegGen: a diffusion transformer for gastrointestinal polyp segmentation data was presented at the RSNA Radiology Conference 2025 in Chicago❗🥳
🎓 Affiliations
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Ideogram | January 2026 – Present:
Member of Technical Staff (Intern) | Team: Core Machine Learning Research
Training text-to-image models from scratch, including Ideogram 4.0 (#1 open-weight T2I model). -
Vector Institute | August 2025 – Present:
Machine Learning Research Intern | Advisor: Prof. Michael Brudno
Generating facial meshes from genetic markers using diffusion models and implicit neural representations. -
Vector Institute | April 2024 – April 2025:
Machine Learning Research Intern | Advisor: Prof. Babak Taati
Generated 82.5K 3D facial samples via mesh-based diffusion, neural face rigging (NFR), and physically-based rendering (PBR), while introducing ViTPain, a cross-attention model with neutral reference for pain assessment.
❗Pain in 3D accepted at ICPR 2026 — [arxiv] [Code] [Project page]❗
🕰️ Past Affiliations
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Amazon Web Services | May 2025 – July 2025:
Software Development Engineer (SDE) Intern | Team: AWS RDS Export to S3
Optimized the parallel export to S3 ETL pipeline with EMR, Hadoop Spark, and EKS, saving ~$8M/year. -
MiDATA (University of Toronto) | September 2024 – April 2025:
Machine Learning Researcher | Advisor: Prof. Pascal N. Tyrrell
Developed MedSegGen, a diffusion transformer to generate gastrointestinal polyp segmentation data.
❗Poster presentation at the RSNA Radiology Conference 2025 in Chicago❗🥳 -
Kadist (Artnow International) | August 2024 – April 2025:
Machine Learning Engineer developing RsonArt, an artist agent with RAG through history-aware & ensemble retrieval; scraped 300k artists and artworks into a pgvector DB on PostgreSQL. -
DIRO (University of Montreal) | October 2022 – September 2023:
Machine Learning Researcher | Advisor: Prof. Houari Sahraoui
Represented Team Canada (top 12 projects at nationals) at ISEF 2023 in Dallas (won 10 awards worth $15k+). Trained and compared four models (CNNs & LSTMs) for American Sign Language to English translation.
In my free time, I am a bookworm who loves to eat pho and explore niche cafes to study while sipping on chai latte!
