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 mechanistic models from first principles inspired by firmly-established social science findings, and confronting the models with real-world data, such as city crime rates and US Congress voting records. I work closely with social scientists, physicists, and mathematicians. I am seeking full-time opportunities starting summer 2018, for mathematical modeling with direct application to people’s lives, with a particular interest in human behavior on a large scale. This can take the form of a postdoc, an academic position, or a research/data scientist position in the industry.
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 (Oct 2017)
If you are looking for my d3 visualization of US Congress ideology, it’s here.
- Oct 2017 - Attend the Grace Hopper Celebration for Women in Computing
- 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 gave a talk at the Seven Minutes of Science Symposium about urban scaling laws and the “reasoning from first principles” approach. [Talk Video]
- Northwestern News Network featured my research on urban scaling laws. [Interview 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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