Michael Saxon
Research Scientist at Google DeepMind
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolMichael Saxon is a research scientist based in the San Francisco Bay Area with a PhD in Computer Science from UC Santa Barbara and a decade of experience advancing generative AI, multilingual and multimodal modeling. His work spans industry and academia—now at Google DeepMind after a Siegel postdoc at UW—focused on rigorous evaluation of hard-to-measure capabilities in LLMs and text-to-image systems and on ethical, sociotechnical failure modes of GenAI. He combines deep technical chops (multimodal language modeling, SLU, ASR) with a philosophical bent toward faithful, human-centered evaluation methods. Notably, his projects probe how AI can induce behavioral decline in users, turning ethical concerns into measurable research questions.
10 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Computer Engineering, Master of Science - MS, Computer Engineering at Arizona State UniversityDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at UC Santa Barbara
English
Github Skills (40)
python10
machine-learning10
deep-learning10
tensorflow10
data-science9
sublime-text9
ml9
multimodal9
deep-neural-networks9
neural-network9
foundation-models9
chatbot8
drawio8
diagram8
textmate8
Programming languages (6)
Github contributions (5)
luminositylab/CL-AFF-ST
Nov 2018 - Feb 2019
Our CL-AFF Shared Task Repo
Contributions:43 commits, 4 PRs, 24 pushes in 3 months
aff
michaelsaxon/michaelsaxon.github.io
Jan 2017 - Apr 2025
Contributions:221 pushes, 2 branches in 8 years 3 months
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