Staff Scientist at the UofT Acceleration Consortium, building self-driving labs and machine-learning systems for materials science.
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- Self-driving lab software for experimental automation, data pipelines, and decision-making loops.
- AI for science and materials workflows, from literature/news monitoring to research-data analysis.
- Scientific tooling that helps researchers turn messy experimental outputs into interpretable signals.
| Project | What it shows | Signals |
|---|---|---|
| ai-progress-site | Daily AI progress summary: Leader Views · AI News · AI4Science · AI4Materials | ai, ai4science, machine-learning |
| SciVizKit | Scientific visualization toolkit — inspire the best chart for your research data | bioinformatics, data-visualization, materials-science |
| video_darkness_analysis | Supporting code for reaction-video optical analysis (darkness and foam quantification) | computer-vision, materials-science, optical-analysis |
| nature-paper-hub | Full-pipeline AI agent for Nature-series journal writing. Supports OpenClaw, Claude Code, and Codex. Covers journal selection, drafting, figure... | academic-writing, ai-agent, claude-code |
| finance-daily-site | Automated daily financial market summary: Global Indices · Leader Insights · Market News · Macro Data · Earnings · Sectors · Central Banks | automation, finance, market-data |
| podcast-agent | Automated podcast production workflow for academic interviews | ai, automation, llm |
Python · PyTorch · scikit-learn · NumPy · FastAPI · Linux · Git · ROS · computer vision · scientific automation
Closed-loop experimentation · materials discovery · autonomous labs · AI research agents · scientific visualization