Falcon Dai

Machine Learning Researcher at Symbolica AI

San Francisco, California, United States
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Summary

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Falcon Dai is a machine learning researcher with 14 years of experience bridging rigorous academic research and production ML systems, currently advancing automated theorem proving with LLMs and reinforcement learning at Symbolica AI. He combines a PhD-level background from TTI Chicago with hands-on work across perception pipelines, annotation ETL at Apple, and applied summarization prototypes for startups, showing fluency from low-level tooling to high-level generative models. His past projects include open-source contributions to OpenNMT-py, novel ECoG electrode registration software, and practical improvements to text autoencoders and latent diffusion through compression-theoretic insights. Comfortable in both research labs and engineering teams, he builds distributed proof corpora and verification toolchains (Ray-based tooling, parsers, unifiers) that make formal methods more scalable and auditable. An understated strength is his track record of turning complex academic ideas into reproducible, production-ready code and workflows.
code14 years of coding experience
job4 years of employment as a software developer
bookDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Toyota Technological Institute at Chicago
bookHigh School Diploma, High School Diploma at The Affiliated High School of South China Normal University
bookMiddle School Diploma, Middle School Diploma at Guangdong Experimental High School
bookBachelor of Science (BS) with Honors Mathematics Physics, Bachelor of Science (BS) with Honors Mathematics Physics at University of Chicago
languagesEnglish, Chinese, Chinese
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Github Skills (148)

python10
deep-learning10
ml10
neural-network10
q-learning10
ransac10
data-science10
tensorflow10
neural-machine-translation10
machine-learning10
deep-neural-networks10
react10
ssreflect9
twitter9
machine-translation9

Programming languages (13)

C++CCoqHTMLJupyter NotebookMATLABTypeScriptCoffeeScript

Github contributions (5)

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falcondai/py-ransac

Sep 2013 - Jul 2018

python implemetation of RANSAC algorithm with a line/plane fitting example.
Contributions:9 commits, 1 PR, 3 pushes in 4 years 10 months
pythonplane-fittingfittingplaneransac
falcondai/tweet-volume-alert

Jul 2013 - Oct 2013

Contributions:55 commits in 2 months
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Falcon Dai - Machine Learning Researcher at Symbolica AI