Ren Jie Teo

Transport Planner | Urban Scientist

I am a Transport Planner and Urban Scientist based in Singapore, operating at the convergence of urban design and data analytics.

Being previously trained in Architecture, I recognised that the future of cities lies not just in form, but also as urban flows across the city. I pivoted to Information Systems to close the critical loop between the traditional urban planner and the data scientist. Today, I don’t just plan infrastructure or generate data points; I am able to comprehend, simulate and create solutions and policies that works for the city and it’s citizens.

My core focus is on Autonomous Vehicle (AV) deployment and planning. I leverage spatial data to solve complex mobility problems - from optimising first-mile/last-mile connectivity to integrating driverless transport with Singapore’s existing (and fantastic!) public transit to further improve convenience and quality of life of citizens.

My goal is to move beyond existing planning policies, using data science and analytics, to build mobility networks that are resilient, efficient, and ready for an autonomous future.

Work

Land Transport Authority [2025 - Current]

  • Assistant Manager, Deployment and Systems, Centre for Autonomous Mobility

Education

Singapore Management University [2021 - 2025]

  • Bachelor of Science (Information Systems) - Business Analytics and Urban Science

Singapore Polytechnic [2016 - 2019]

  • Diploma in Architecture

Domain Expertise

Shared & Automated Mobility

Reducing connectivity gaps in Public Transit network with Autonomous Vehicles (AVs)

Automated Mobility First-Mile/Last-Mile Connectivity Public Transit Integration

Spatial Accessibility

Quantitative evaluation of urban connectivity, covering both active travel, Public Transit and Automated Mobility

Travel Time Analysis Travel Preference Modelling Walkability Indices Network Connectivity Service Catchment Modeling Travel Demand Modeling

Urban Analytics & Informatics

Application of data science and geospatial analysis to inform policy and strategy

Geospatial Analysis Spatial Statistics Predictive Modelling Operations Research (Optimization)

Technical Toolkit

Spatial & Network Analytics
Geopandas Kepler.GL NetworkX QGIS R

Optimization & Modelling
Python PuLP (Linear Programming) Scipy

Data Science & Data Engineering
Pandas Plotly Seaborn Scitkit-Learn Streamlit MySQL MongoDB Flask

Projects

Caution

Work in Progress!