Postdoctoral Associate 
Institute for Data, Systems, and Society, MIT
MIT Media Lab Human Dynamics Group

Data Science Consultant
Global Facility for Disaster Reduction & Recovery, The World Bank

Email: tyabe@mit.edu
Phone: +1-773-383-3510

Short Bio:
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, computational social science, and big data analytics. I'm also 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 development, 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 including urban disaster resilience modeling, geospatial big data analytics and geospatial-AI, and using these techniques for urban policy applications.  
Apart from research, I love playing soccer (you can watch my screamer freekick here), enjoy cooking seafood dishes (my spécialité is acqua pazza), and eating ramen whenever I have the chance. 


  • [Paper] 2022.03.22 "Quantifying the spatial homogeneity of urban road networks via graph neural networks" is published in Nature Machine Intelligence!

  • [Paper] 2022.02.13 "Toward data-driven, dynamical complex systems approaches to disaster resilience" is now published in PNAS!

  • [Paper] 2021.08.20 "Mobile Phone Location Data for Disasters: A Review from Natural Hazards and Epidemics" is published in Computers, Environment, and Urban Systems!

  • [Paper] 2021.08.15 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] 2021.08.15 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

  • [Award] 2021.07.29 Our paper "Cross-comparative analysis of evacuation behavior after earthquakes using mobile phone data" was one of the Top 10% Cited Papers in PLoS ONE

  • [Paper] 2021.04.15 "Resilience of Interdependent Urban Socio-Physical Systems using Large-Scale Mobility Data: Modeling Recovery Dynamics" (preprint) is on arXiv!

  • [Presentation] 2021.02.18 I gave an invited talk on our EPJ Data Science paper at the PlaceKey Research Seminar. YouTube recording here.  

  • [Paper] 2020.11.25 "Quantifying the Economic Impact of Disasters on Businesses using Human Mobility Data: a Bayesian Causal Inference Approach" is accepted in EPJ Data Science!

  • [Paper] 2020.11.07 "Regional Differences in Resilience of Social and Physical Systems" is accepted in Environment and Planning B: Urban Analytics and City Science (Special Issue on Resilient Cities)! 

  • [Award] 2020.10.30 I received the STV Civil Engineering Graduate Research Endowment Award from the Lyles School of Civil Engineering at Purdue University. 

  • [Paper] 2020.10.22 Our paper on the analysis of human mobility patterns and social contacts in Japan during the COVID-19 epidemics using mobile phone data is published in Scientific Reports.

  • [Award] [Presentation] 2020.07.12 I gave a presentation at the Japan XR Science Forum 2020, and received the UJA Best Presenter Award