Bio

David is a double major in industrial engineering and finance, specializing in causal inference and machine learning. During his experience of over 7 years, David has led teams within multilateral organizations, startups, and government institutions in the United States and LATAM. In his capacity, David integrates machine learning, econometrics, and political economy to craft solutions for intricate challenges affecting millions of people.

David is pursuing a master's degree in computational social science on a full scholarship at Stanford's School of Management Science and Engineering, where he is supervised by Dr. Vasilis Syrgkanis. Additionally, David obtained a master's degree in econometrics/public policy from the University of California, San Diego.


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Honors & Awards

  • Tuition Fellowship, Stanford Engineering School (2023)
  • Merit Fellowship (full ride scholarship), University of California, San Diego (2020-2022)

Education & Certifications

  • MA, University of California, San Diego, Public Policy (2022)
  • BS, Universidad Sergio Arboleda, Industrial Engineering (2012)

Contact

  • Academic
    dcastrop@stanford.edu
    University - Student Department: Management Science and Engineering Position: Graduate

Additional Info

  • Mail Code: 4026

Links