Ollin Chimal
Postdoctoral Researcher at University of California, Berkeley
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolOllin Chimal is a postdoctoral researcher at UC Berkeley with a decade of experience applying mathematical and computational methods to urban sustainability, opinion modeling, and machine learning. He holds a PhD in Complex Systems and Data Science and combines academic rigor with hands-on data science roles in industry and international organizations, including The World Bank and THINKMD. His work bridges numerical analysis—evidenced by C implementations for scientific computation—and applied urban analytics, using social media and network science for city profiling. Comfortable moving between research, teaching, and product-focused data science, he has taught computational modeling and network science at UNAM and contributed to real-world health and development projects. Based in Berkeley, he brings a physics-trained, quantitative lens to interdisciplinary problems and a practiced ability to translate complex models into practical insights. A less obvious strength is his long-term creative practice—photography—which complements his analytical perspective with visual and contextual sensitivity when studying urban systems.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Complex Systems and Data Science, Doctor of Philosophy - PhD, Complex Systems and Data Science at University of VermontUniversidad Nacional Autónoma de México (UNAM)Master of Science - MS, Data Science, Master of Science - MS, Data Science at Instituto Tecnológico Autónomo de México
Spanish, English, French
Github Skills (6)
c1710
floating-point10
numerical-analysis10
float3210
c1110
algorithms9
Programming languages (7)
Github contributions (5)
ITAM-DS/analisis-numerico-computo-cientifico
Jan 2017 - May 2017
Análisis numérico y cómputo científico
Role in this project:
Back-end Developer
Back-end DeveloperContributions:83 commits, 15 PRs in 4 months
Contributions summary:Ollin's primary contribution involved implementing numerical analysis algorithms in C within the repository, as evidenced by the initial commit that added a C file and its output. Further commits demonstrate the user's work on numerical computation, including modifications to the code to use double-precision floating-point numbers, indicating efforts to improve accuracy in calculations. The user also created functions to calculate absolute and relative errors.
lapackmpipythontensoraws
ollin18/analisis-numerico-computo-cientifico
Jan 2017 - May 2017
Contributions:67 pushes in 4 months
numricopythonmachine-learning
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