Background

Curriculum vitae

Cambridge, MA · hytangs@mit.edu

Education

Massachusetts Institute of Technology (Sep 2024 – Present)

Master of Science in Transportation, expected 2026 · GPA: 5.0 / 5.0
Coursework: Transportation Planning, Deep Learning, Modeling & Simulation, Demand Modeling

National University of Singapore (Aug 2019 – Dec 2023)

Bachelor of Science, Business Analytics (Machine Learning), First Class Honors · GPA: 4.77 / 5.0
Bachelor of Social Science, Economics (Quantitative Economics), First Class Honors · GPA: 4.89 / 5.0
Coursework: Linear Algebra, Probability & Statistics, Data Structures & Algorithms, Database Systems, Big Data Systems, Intelligent Systems, Econometrics, Time Series Forecasting, Geospatial Analytics

DC Student Travel (Sep 2024 – Sep 2026)

MIT Transit Lab × Washington Metropolitan Area Transit Authority (WMATA). Manuscripts in preparation for Transportation Research Part C and Part A.

Developed WMATA’s first stop-level, event-driven ridership inference pipeline by fusing automatic passenger counts with school calendars and bell schedules under incomplete fare validation.
Built PASS, a synthetic population and assignment framework integrating Census microdata, school enrollment, and privacy-suppressed OD data; generated 90,000+ home–school assignments using KL projection and entropy-regularized transport; achieved strong agreement with external validation targets.
Conducted a systematic policy evaluation of three WMATA bus-network scenarios using bell-time-constrained routing to quantify systemwide and subgroup changes in scheduled school accessibility.

Built a high-performance routing engine using Customizable Contraction Hierarchies for streets and the Connection Scan Algorithm for transit; developed an integrated desktop environment for GTFS network visualization, point-to-point routing and accessibility analysis. TR-C manuscript in preparation.
Measured median core timetable-routing latency of 0.627 ms in Boston and 0.644 ms in Washington, DC, on network inputs with up to 14.9 million OSM nodes.
Formulated NGRP, a generalized activity-chain planning framework for jointly optimizing destination choice and routing across sequential activities via LLM-based task formulation and deterministic routing.

NUS Honors Thesis · ICIS 2024 Best Student Paper First Runner-Up · Outstanding Undergraduate Research Project

Partnered with six art auction houses; assembled a dataset of 1,800 lots, estimated bidding dynamics using econometric and structural models, and evaluated alternative overtime strategies through Monte Carlo simulation. Recommendations were adopted by partner auction houses.

Built a local-first research workspace for LaTeX, Markdown, Typst and notebooks, with near-instant rendering, Git-based version control, collaboration, algorithm and citation review, and publication export.
Developed LLM-assisted research workflows using Qwen and OpenAI-compatible models for document editing, autonomous research, question answering, and structured review across project materials.

Built a Python system that converts GTFS into editable schematic transit maps, enabling agencies to rapidly generate, revise and publish network maps in SVG/PDF/HTML formats; demonstrated robust topology performance across 30 systems, including New York, Madrid, and Tokyo. Submitted to TRB.

Land Transport Authority Singapore (Jan 2023 – May 2023)

Information System Developer (Capstone Project)

Built an internal finance operations platform with interactive analytics dashboards and workflow automation for LTA Finance’s cashflow management team (Python, Django, Plotly.js, VBA), leading to a ~10× increase in efficiency.

Shanghai Airport Authority (Jul 2021 – Aug 2021)

Information Technology Executive (Intern)

Prototyped CCTV-based passenger and baggage detection with exploratory passenger–baggage association using OpenCV and YOLOv4.

NUS Department of Economics (Aug 2022 – Nov 2022)

Undergraduate TA, EC2102 Macroeconomics I; led two tutorial sections (~50 students) and exam preparation.

Methods: Urban mobility · Scalable data systems · Machine learning · Simulation · Generative AI
Programming: Python · SQL · Rust · JavaScript · Java · R
Global experience: 62 countries, 160+ cities and transit systems; 141 airlines

Download CV (PDF)

September 2026 CV. The download is the original author-supplied PDF.