Richard Galvez, Ph.D.
Director, Applied AI @ Pure Storage · NASA FDL Research Faculty Lead
AI researcher with Physics Ph.D. and 10+ years in deep learning research, large-scale distributed training systems, and AI infrastructure. Published in Science Advances and NeurIPS. Research interests span AI safety, scaling laws, neural network theory, and distributed training at scale.
Experience
2023 – Present
Director, Applied AI
Pure Storage — Frontier AI training infrastructure, storage benchmarking, Fortune 500 advisory
2018 – Present
AI/ML Research Faculty Lead
NASA Frontier Development Lab — 29PB heliophysics datasets, foundation model pipelines, NeurIPS publications
2023
Founder, DataTalk AI
LLM/RAG architectures for Legal & Healthcare — acquired by Percipio Health
Education
Ph.D. Physics
Syracuse University — Supersymmetry, cosmology, lattice field theory. Postdocs at NYU & Vanderbilt
Recent Posts
March 12, 2018
Back again after a long hiatus
It’s been almost an entire year since I’ve updated my blog– and my has it been an eventful year. Ever since I last posted here, I completed a 3 month...
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March 13, 2017
Placed 15th in an algorithmic stock trading competition
For those who know me personally, it’s no secret that I enjoy economics and financial analysis. For this reason I was pretty excited when I discovered the Quantopian platform/website (quantopian.com)...
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February 4, 2017
Predicting discoveries part 1
I’ve been working on a problem recently that I think is a rather interesting application of machine learning. Unfortunately I cannot give too many specifics as the algorithm I’ve developed...
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February 1, 2017
So much data, so little time
Things have been good lately in the research front. Much progress on quite a few projects– been multi-threading since I got to Vanderbilt in various fields. I’m pretty excited to...
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