Gund Graduate Fellow, College of Engineering and Mathematical Sciences

Ollin is a PhD student in Complex Systems and Data Science interested in the use of data science and machine learning in decision-making processes to create preventive tools and reduce inequalities that affect the most vulnerable populations. This interest has led Ollin to work as a data scientist for the Mexican government, the Inter-American Development Bank and The World Bank.

Ollin's research focuses on human behavior, particularly in the interconnection between violence, mass migration and climate/land use change as well as the response in mobility patterns in scenarios of natural disasters and disease spreading processes.

Advisor: Nicholas Cheney

Gund Graduate Fellow Ollin Langle-Chimal

Areas of Expertise and/or Research

Machine learning, NLP, edge computing, data driven decision making, network science


  • MS, Data Science, Instituto Tecnológico Autónomo de México
  • BS, Physics, Universidad Nacional Autónoma de México