Institute for Data, Systems, and Society, MIT
MIT Media Lab Human Dynamics Group
I am a Postdoctoral Associate at the MIT Institute for Data, Systems, and Society and Media Lab Human Dynamics Group, working on the intersection of urban resilience, socioeconomic networks, and computational social science. I was a Data Science Consultant for the Global Facility for Disaster Reduction & Recovery (GFDRR) and Transport Global Practice at The World Bank, working on big mobility data analytics for urban disaster risk management and transportation modeling.
I obtained my Ph.D. from Purdue University, advised by Dr. Satish V. Ukkusuri and Dr. Seungyoon Lee. Prior to that, I obtained my Masters and Bachelor Degrees from the University of Tokyo, advised by Dr. Yoshihide Sekimoto.
My research interests include urban socio-economic resilience modeling, geospatial big data analytics and geospatial-AI, and using these techniques for urban policy applications.
Please take a look at the Research page or Google Scholar for more.
[Presentations] 2022 July. I will be presenting our 2 newest works at IC2S2 and Netsci22. See you there! You can find one of our works on arXiv.
[Paper] 2022 March. "Quantifying the spatial homogeneity of urban road networks via graph neural networks" is published in Nature Machine Intelligence!
[Paper] 2022 Feb. "Toward data-driven, dynamical complex systems approaches to disaster resilience" is now published in PNAS!
[Paper] 2021 Dec. "Resilience of Interdependent Urban Socio-Physical Systems using Large-Scale Mobility Data: Modeling Recovery Dynamics" is published in Sustainable Cities and Society!
[Paper] 2021 Aug. "Mobile Phone Location Data for Disasters: A Review from Natural Hazards and Epidemics" is published in Computers, Environment, and Urban Systems!
[Paper] 2021 Aug. I will present "Location Data Reveals Disproportionate Disaster Impact Amongst the Poor during Puebla Earthquake" at the KDD Workshop on Data-Driven Humanitarian Mapping! You can find the paper here, and video here.
[Paper] 2021 Aug. We will present "Mobilkit: A Python Toolkit for Urban Resilience and Disaster Risk Management Analytics using High Frequency Human Mobility Data" at the KDD Workshop on Data-Driven Humanitarian Mapping! You can find the paper here, and the Github Repo here.