About me
I'm interested in solving transportation problems at the intersection of engineering, analytics, and technology.
At the City of Toronto, I've worked on projects ranging from FIFA World Cup congestion monitoring and city-wide bicycle demand estimation to accessibility modeling, machine learning, and Automated Speed Enforcement evaluation. This work has supported operational planning, informed City Council reporting, and contributed to public transportation policy discussions.
What I enjoy most are problems where the answer isn't obvious from the data alone: understanding congestion, improving transit reliability, estimating travel demand, or evaluating policy. I like combining engineering judgment with analytical tools to help cities make better decisions.
Outside of engineering, I'm usually building side projects, exploring new tech, or playing sports.
Featured work
Forecasting AI's Effect on Hospital Costs by Analogy to Industrialization and the Dot-Com Era
Placed 10th out of 328 participants (100+ teams) at the NSRI Summer Research Hackathon. Tested AI's likely effect on hospital costs against two historical analogies, slow post-electrification productivity gains vs. the dot-com boom-and-bust, using Medicare Cost Report data across ~6,000 hospitals (2011–2024). Found administrative cost share has climbed steadily since EHR saturation with no reversal, forecasted to keep rising through 2034, while clinical AI funding already shows classic bubble markers.
Automated Speed Enforcement Evaluation
Designed and deployed an automated system evaluating the impacts of ASE camera removals across Toronto. Built scalable analytics pipelines on city-wide traffic data to monitor roadway performance and support policy evaluation. The analyses informed City Council reporting and were discussed publicly by the Mayor.
FIFA World Cup Congestion Monitoring
Developed automated congestion monitoring workflows supporting the City of Toronto's transportation planning for the FIFA World Cup. Built repeatable Python and SQL pipelines to monitor network performance, identify congestion trends, and generate operational insights.
Predicting Streetcar Delays in Toronto
Built ML models on over ten years of TTC streetcar delay data. Random Forest models reached R² up to 0.98 and MAE as low as 0.73 min, showing how historical transit data can improve operational planning.
City-Wide Bicycle Demand Estimation
A city-scale pipeline for Annual Average Daily Bicycle Traffic (AADT), combining temporal normalization, seasonal adjustment, and confidence interval estimation to support cycling infrastructure planning.
Accessibility Modeling for Planning
Reproducible geospatial workflows computing gravity-based and cumulative accessibility measures across transportation networks, with GIS visualizations supporting planning and accessibility analysis.
ShiftED, Dynamic Triage Monitoring
Winner of the AI × Bio Hackathon. An AI-powered patient-monitoring platform that learns individualized physiological baselines from wearables to detect early deterioration. Currently being developed as a startup.
Where I've worked
Data Science Intern
- Helped build the City's bicycle AADT estimation framework used to estimate cycling volumes across Toronto.
- Built automated congestion monitoring tools supporting FIFA World Cup transportation planning.
- Designed an automated system evaluating ASE camera removals, contributing to analyses presented to City Council and discussed publicly by the Mayor.
- Developed geospatial accessibility models in R and QGIS, and ML models for congestion forecasting and collision-severity prediction.
- Automated Python and SQL workflows over large-scale transportation datasets.
Co-President
- Led a six-sector executive team across academics, professional development, marketing, events, and external relations.
- Led recruitment through 20+ executive interviews.
- Founded the External Relations Team to grow industry partnerships and sponsorships.
- Collaborated with CSCE Toronto and Ontario chapters to coordinate joint initiatives, enhance visibility, and expand professional networking opportunities.
- Secured over $4,000 in sponsorships and managed $14,000+ in annual event budgets.
- Strengthened student and industry partnerships through networking and professional events.
Civil Engineering Intern
- Supported construction of a nine-storey residential building and associated infrastructure.
- Supervised concrete testing and quality-assurance activities.
- Reviewed drawings and coordinated with site teams to resolve issues before execution.
VP Academia
- Led the Academic Sector, overseeing a team, managing tasks, and optimizing operations to increase efficiency and club engagement.
- Created and launched a coffee chat program, matching students with professors for personalized meetings, enhancing faculty-student interaction and fostering academic connections.
- Organized and coordinated a research panel, inviting three professors to present various faculty opportunities, resulting in several students securing research positions.
- Organized academic initiatives supporting engineering students.
Skills & résumé
Programming
Transportation & Geospatial
Machine Learning & Data
Engineering Software
Tools
Education
CGPA 3.50 · Dean's List ×3
Awards
- AI × Bio Hackathon Winner
- Manuel A. Fine Scholarship
- Victor Xin Scholarship
- WSP Scholarship
- Dean's List ×3
Let's connect
I'm always interested in opportunities in transportation engineering, planning, traffic operations, intelligent transportation systems, and infrastructure analytics.