Luis Marti
Cognitive Data Scientist
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolLuis Marti is a Cognitive Data Scientist with 13 years of interdisciplinary experience at the intersection of cognitive psychology, Bayesian modeling, and software engineering. He holds a Ph.D. from UC Berkeley and has led first‑authored, high‑impact publications on certainty, misinformation, and conceptual diversity that attracted international press. Practically fluent in both research and engineering, he builds computational models and Bayesian analyses from scratch, creates intuitive data visualizations, and has contributed to notable open‑source projects such as DEAP (evolutionary algorithms) by improving multiobjective benchmark functions. His background spans MRI/EEG data collection, mentoring students, and product‑focused roles at Microsoft and game development, reflecting a rare blend of experimental rigor and production coding. Based in New York, he brings a pragmatic curiosity—summed up by his GitHub motto “Scripta volant, codex manent”—that ties durable code to enduring scientific insight.
13 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD, Cognitive Psychology, Doctor of Philosophy - PhD, Cognitive Psychology at University of California, BerkeleyThe University of Maryland, College ParkMaster's degree, Brain and Cognitive Sciences, Master's degree, Brain and Cognitive Sciences at University of Rochester
English, Spanish
Github Skills (5)
algorithm10
algorithms10
f10
python10
implement10
Programming languages (6)
Github contributions (5)
DEAP/deap
Oct 2014 - Jun 2015
Distributed Evolutionary Algorithms in Python
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 commits, 3 PRs, 3 comments in 8 months
Contributions summary:Luis contributed significantly to the project by implementing and modifying multiobjective functions within the `deap/benchmarks/__init__.py` file. They added new functions and corrected existing ones, including DTLZ functions. Furthermore, the user fixed typos, updated import statements, and reverted code changes related to benchmark functionalities.
pythonevolutionary-algorithmsmultiobjective-optimizationmachine-learningevolutionary
lmarti/latex-grammar-check
Apr 2013 - Sep 2014
Contributions:27 commits in 1 year 5 months
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