Marissa De Chanlatte
Investor at Unreasonable Labs
Los Altos, California, United States
Summary
👤
Senior🎓
Top SchoolMarissa De Chanlatte is an investor at Playground Global focusing on AI, next-generation compute, and robotics, and leads the firm’s $50M Genesis Fund for advancing compute infrastructure. She earned a PhD from UC Berkeley with joint advising in vision-and-language and applied numerical algorithms, turning her thesis on 3D vision for physical simulation into an ongoing LBNL grant she continues to advise. With 11 years of research and engineering experience across numerical PDEs, HPC, computational geometry, and 3D computer vision, she has bridged academic labs and industry internships at Adobe, Oak Ridge, and Hivemapper. Marissa also contributes productively to domain-specific open-source work—extending the PyNE nuclear engineering toolkit with decay-data integrations and improved error handling—highlighting her ability to move between low-level scientific code and high-level strategic investing. Based in Los Altos, she combines deep technical fluency in simulation and geometry with hands-on diligence in sourcing and scaling frontier hard-tech startups.
11 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy, Applied Science & Technology - Major Area of Study: Applied Mathematics & Computer Science, Doctor of Philosophy, Applied Science & Technology - Major Area of Study: Applied Mathematics & Computer Science at University of California, BerkeleyFoothill CollegeCrystal Springs Uplands School
English, Spanish
Github Skills (7)
nucleo10
python10
data-analysis9
cprogramming-language9
c-language9
error-handling9
unit-testing7
Programming languages (5)
Github contributions (5)
pyne/pyne
Nov 2014 - Nov 2014
Role in this project:
Back-end Developer & Nuclear Engineering Specialist
Back-end Developer & Nuclear Engineering SpecialistContributions:9 commits, 3 PRs, 3 comments in 1 day
Contributions summary:Marissa primarily focused on modifying and extending the PyNE toolkit, a nuclear engineering library. Their contributions included adding and modifying warning messages within the codebase, indicating an effort to improve user feedback and error handling. Furthermore, they integrated decay data, which is a core component of nuclear simulations, and created an element identification function. These modifications highlight their focus on enhancing the functionality and usability of the PyNE library.
pythonnuclear-engineeringpyneengineeringnuclear
mzweig/mzweig.github.io
Apr 2015 - Oct 2019
Contributions:87 pushes, 2 branches in 4 years 6 months
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