I am a Ph.D. candidate in Applied Mathematics at Northwestern University. I use mathematical tools to uncover the simplicity behind complex phenomena of human society. Some topics of my work include scaling laws in cities and dynamics of political elections. My approach is to build simple, mechanistic models from indisputable laws of physics combined with firmly-established social science findings. After building the models, gather real-world data, such as city crime rates and US Congress voting records, to validate them. I work closely with social scientists, physicists, and mathematicians. If you are interested in a collaboration, please don’t hesitate to reach out.
Outside of academics, I enjoy dance, photography, and Aikido. I was the founding president of NuTango, Northwestern University’s Argentine Tango Club. I was also the 2016-17 president of Society for Industrial and Applied Mathematics Northwestern Chapter.
CV (June 2017)
- May 2017 - Won the Red Sock Award for Best Poster Presentation at SIAM Conference on Applications of Dynamical Systems, Snowbird, UT
- June - Sept 2017 - Data science internship at Airbnb
- April 2017 - Present at Northwestern Computation Research Day
- April 2017 - Organize the Chicago Area SIAM Student Conference, Chicago, IL. See conference photos here
- I talked at the Seven Minutes of Science Symposium about urban scaling laws and the “start simple” approach. [Video]
- Northwestern News Network featured my research on urban scaling laws. [Video]
- Northwestern University’s Data Science Videos featured my work in [Video 1]. In [Video 2], I shared my view on two types of data science
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