David Palzer is a speech scientist and AI researcher with a decade of experience applying deep learning to speech, multimodal understanding, and content-safety problems. He holds a PhD in Computer Science from The Ohio State University and has published first-author work on end-to-end speaker diarization and released the MapQA dataset, demonstrating skill in creating benchmarks as well as models. His industry internships at Meta/Facebook spanned misinformation, counter-terrorism, illicit trade, and hate-speech teams where he shipped production-grade ML components and large-scale A/B experiments. A seasoned educator, he has lectured and designed curricula at university level while contributing to human-in-the-loop document processing and structured data extraction projects. Based in Columbus, Ohio, he blends rigorous academic research with practical deployment experience—often bridging novel model architectures with real-world evaluation and release.
10 years of coding experience
4 years of employment as a software developer
Master of Science (M.S.), Computer Science, Master of Science (M.S.), Computer Science at Western Washington University
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at The Ohio State University
Software repo for Team Expander Agent (Oregon State U., Institute for Systems Biology, and Penn State U.)
Contributions:3 commits, 15 pushes, 10 comments in 2 months
agentsystems-biologybiologyoregonncats-translator
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