Applied Data Science Program: Leveraging AI for Effective Decision-Making

2023

MIT Professional Education

Applied Machine Learning techniques including Supervised Learning and Classification, Deep Learning, Convolutional Neural Networks, Recommendation Systems

Doctor of Philosophy in Politics and Social Policy

2015-2021

Princeton University

Specialization in Quantitative Methods and Formal Modeling, Comparative Politics, Social Policy

Bachelor of Science, Economics and Bachelor of Arts, Political Science

2007-2012

Instituto Tecnologico Autonomo de México

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Postdoctoral Fellow

2021 - Present

Icahn School of Medicine at Mount Sinai, New York, NY

• Conducted quantitative analyses to explore the impact of novel diabetes drugs on cardiovascular and renal outcomes, utilizing meta-regression techniques to uncover mediating factors.
• Applied Monte Carlo simulations to model the behavior of renal outcomes, providing a comprehensive assessment of the effectiveness of the drugs.
• Presented findings through three abstracts at prominent medical conferences, including the American Diabetes Association and American Heart Association.

Consultant

2021 - 2022

The World Bank - Development Impact Evaluation, New York, NY

• Conducted statistical analyses to study the effect of interventions aiming judicial behavior in Peru.
• Designed novel metrics to quantify behavioral outcomes on judicial behavior using text analysis.

Graduate Researcher

2015 - 2021

Princeton University, Department of Politics, Princeton, New Jersey

• Conducted spatial analysis research to explore the impact of natural hazards on voting behavior.
• Executed an innovative Twitter survey experiment during a Mexican election, involving over 1000 participants across four treatment arms, investigating the influence of skin tone on voting behavior.
• Developed original metrics for assessing the alignment of national and subnational policies through text analysis and document similarity algorithms.
• Conducted interviews with 50+ Mexican officials to gain insights into mechanisms identified through text analysis.
• Analyzed social media behavior post a major gender violence event, studying 400,000 tweets using topic modeling and Google image recognition.

Consultant, Data and Statistical Services

2018 - 2021

Princeton University, Princeton, New Jersey

• Mentored over 300 graduate and undergraduate students in independent research, focusing on statistical analysis and data visualization using R.

Policy Advisor and Researcher

2016

Mexican Social Development Ministry, Mexico City, Mexico

• Employed spatial methods and probabilistic matching to model the evolving patterns of poverty in Mexico. This modeling facilitated strategic recommendations for the allocation of poverty alleviation benefits, resulting in the enhancement of procedures for allocating public funds, with positive impacts worth millions of MXN.

Policy Advisor and Researcher

2013-2016

Mexican Institute of Social Security , Mexico City, Mexico

• Conducted analyses of health infrastructure and personnel efficiency, informing strategic decision-making for healthcare service expansion with multi-million MXN annual investments.
• Developed a dataset of medication prescriptions (24 million observations) through SQL queries, facilitating statistical analysis to identify patterns of misuse at the doctor and clinic levels.
• Implemented EM algorithms to compute a universal menu of drugs available at the clinic level (primary care), resulting in substantial cost savings totaling hundreds of thousands of MXN.