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Postdoctoral Associate, Cornell University — Ezra Systems Fellow — Ithaca / Singapore

Leveraging graph intelligence and system thinking to shape sustainable and healthy urban futures.

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[About Me]

Hello, I'm Winston. I lead interdisciplinary research that combines artificial intelligence, systems engineering, and urban analytics to advance integrated solutions for cities.

My PhD develops the concept of urban graphs and software for reproducible graph machine learning workflows to support more powerful and interpretable global scale urban analytics.

Now

Ezra Systems Postdoctoral Associate at Cornell University, mentored by Prof. Oliver Gao.

Recently

PhD in Urban Analytics at the NUS Urban Analytics Lab supervised by Prof. Filip Biljecki.

Visiting Scholar

MIT Senseable City Lab (Boston)

MAP IV, Inc. (Nagoya)

UTokyo Deguchi Lab (Tokyo)

Open source

Urbanity: a Python package for computation of multidimensional urban networks and graphs of cities.

[Urban Graphs]

Fifty cities

Global repository of urban graphs — drawn from "Global Feature-Rich Network Dataset" (Yap & Biljecki, 2023). Arcs trace research collaborations between Singapore, New York and London and the rest of the world.

City node Network edge drag · zoom · pan
[Publications]

Analytics, data, and software
scalable urban intelligence

Nature Health (accepted) · 2026

Health and Urban Motifs in Cities

Yap, W., Duarte, F., Zheng, Y., Jang, K.M., Luo, P., Vineis, P., Ratti, C., & Biljecki, F.

Investigating the effects of urban design on public health outcomes across the most populous areas within the contiguous US.

In Press
Nature Sustainability · 2025

Revealing building operating carbon dynamics for multiple cities

Yap, W., Wu, A.N., Miller, C., & Biljecki, F.

Democratising built-environment emissions at building resolution across multiple cities with open science and graph deep learning.

Read paper
npj Urban Sustainability · 2023

Urbanity — automated modelling of multidimensional networks in cities

Yap, W., Stouffs, R., & Biljecki, F.

An open Python package to compute contextual and semantic spatial attributes of urban networks at any geographic location and scale.

Read paper
Scientific Data · 2023

Global feature-rich network dataset of cities

Yap, W., & Biljecki, F.

A high-resolution network dataset and interactive dashboard for 50 global cities — the basis of the Atlas above.

Read paper
Book · World Scientific

The City Rebooted — networks, connectivity and place identities

Edited by Chan Heng Chee & Harvey Neo.

Browse
Council on Urban Initiatives · 2024

Housing and the City

Chan, H.C., & Yap, W.

Five decades of delivering affordable, adequate public housing in Singapore.

Read
Environment & Planning B · 2022

Networks & semantic understanding of streetscapes

Yap, W., Chang, J.H., & Biljecki, F.

Read
Computers, Environment & Urban Systems · 2022

Free and Open Urbanism — software for urban planning practice

Yap, W., Janssen, P., & Biljecki, F.

A state-of-the-art review of open-source analytical software supporting urban planners — 124 packages mapped.

Read
Book · World Scientific · 2022

Age-friendly neighbourhood planning & design guidelines

Yuen, B., Bhuyan, M.R., Song, S., Moogoor, A., Yap, W., Močnik, Š., & Chua, R.

Read
Book chapter · IMD & SUTD · 2021

Tokyo — Pushing Frontiers, Planning for Society 5.0

Yap, W., & Norakmal, H.

Read
Journal of Transport & Health · 2020

Built environment, physical activity & physical health

Song, S., Yap, W., Hou, Y., & Yuen, B.

Read
Transport Policy · 2020

Older adults' daily travel pattern & the built environment

Hou, Y., Yap, W., Chua, R., Song, S., & Yuen, B.

Read
[Speaking & Events]

Collaborations

Imperial College London · University of Southern California · Cornell University · Cambridge CARES · Peking University · Tsinghua University · United Nations· World Cities Summit · Bartlett CASA · MIT · Ministry of National Development (Singapore) · Open Geospatial Consortium · Planning Institute of Australia ·

Open Data & Open-Source Tools

USC Dornsife — Spatial Sciences Institute · Speaker

Presenting latest developments in open data and open-source tools for urban analytics.

Urban Health & Graph Deep Learning in US Cities

Imperial College London — School of Public Health · Speaker

Presenting applications of graph machine learning to understand urban structure and health.

Ezra Systems Fellowship

Cornell University · Postdoctoral Associate

Awarded the Ezra Systems fellowship supporting interdisciplinary methods for integrated urban-health systems.

Connections in Cities with Graphs

Cambridge CARES · Speaker

Latest tools and applications of urban graphs for computational planning and sustainable development.

Research Seminar

Peking University · Speaker

Discussion on urban analytics and GeoAI with Prof. Zhang Fan's group at IRSGIS.

NUS — Tsinghua Joint Seminar

Tsinghua University · Speaker

Joint seminar on urban analytics and sustainable development between NUS & Tsinghua's Schools of Architecture.

Bridge for Cities — Young Leaders Dialogue

UN Industrial Development Organization · Representative

50 young urban leaders worldwide developed creative, pragmatic strategies for pressing urban demands.

Mayor's Forum

World Cities Summit (Vienna) · Representative

A platform for city leaders to share their best practices on the urban agenda.

Joint Seminar Day

Cambridge University · Representative

Cross-group seminars on decarbonisation, planetary health and urban analytics.

CUPUM 2025

Bartlett CASA — UCL · Speaker

Urban graphs for multi-scalar analytics that connect cities, data and citizens.

Tea Reception with SM Lee

Boston, USA · Singapore Global Network Member

The Singapore Embassy and Singapore Global Network hosted a memorable tea reception providing a meaningful opportunity to connect, reflect, and strengthen bonds among Singaporeans abroad.

MIT Senseable City Lab

Boston, USA · Visiting Scholar (Aug 2024 — Feb 2025)

Visual A.I. algorithms for city-scale urban sensing.

NUS Overseas College — Nagoya

Map IV / Nagoya University · Machine Learning Engineer Intern

Open-source deep-learning solutions for end-to-end HD-map generation from point cloud and 360° imagery.

Modelling Urban Networks — OGC 127th Member Meeting

Open Geospatial Consortium · Session Organizer

A network-based analytical perspective for understanding and modelling cities.

[Contact]

Let's connect.

Email

winyap@cornell.edu

Elsewhere

Twitter ↗   GitHub ↗   LinkedIn ↗

Based in

Cornell University · Ithaca, NY
NUS Urban Analytics Lab · Singapore

Let's chat — AI assistant