Ollin D. Langle-Chimal is a data scientist at THINKMD and a Ph.D. candidate in Complex Systems and Data Science at the University of Vermont. He is interested in the use of data science, machine learning and mathematical modeling in decision-making processes to create preventive tools and reduce inequalities that affect the most vulnerable populations. This interest has also led Ollin to work previously as a data scientist for the Mexican Ministry of Social Development, the Inter-American Development Bank, and the World Bank.