Jinfa Huang
Research Scientist Intern at Meta
Rochester, New York Metropolitan Area United States
Summary
🤩
Rockstar🎓
Top SchoolJinfa Huang is a PhD student researcher based in Rochester with seven years of experience building multimodal vision-and-language systems that ground, reason, and assist human decision-making. He has applied research experience across top labs—Google Research (working on RL-based post-training and video understanding), ByteDance, Amazon, and Tencent Games—focusing on multimodal large language models, video-language alignment, generative models, and multimodal agents. Jinfa’s recent work spans reward-modeling for generative image and video models and personalized video generation, demonstrating a rare blend of foundational research and product-oriented applied science. Trained at Peking University and currently pursuing a PhD at the University of Rochester, he pairs strong academic rigor with industry-scale experimentation. Notably, his trajectory shows early experience applying BERT-based NLP for game sentiment and information extraction, reflecting a long-standing interest in human-centered ML. He brings practical depth in vision & language research and a clear drive to translate multimodal models into interactive, decision-supporting agents.
7 years of coding experience
1 year of employment as a software developer
Master of Philosophy - MPhil, Computer Science, Master of Philosophy - MPhil, Computer Science at Peking UniversityDoctor of Philosophy - PhD, vision and language, Doctor of Philosophy - PhD, vision and language at University of RochesterBachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at University of Electronic Science and Technology of China
Github Skills (30)
text-to-image10
acceleration10
large-language-models10
survey10
point-cloud10
autoregressive-models10
beamer9
multimodal9
image-generation9
deep-learning9
computer-vision9
mongodb8
diffusion-models8
expectation-maximization8
nodejs8
Programming languages (4)
Github contributions (5)
AI-in-Health/MedLLMsPracticalGuide
Nov 2023 - Aug 2025
[Nature Reviews Bioengineering🔥] Application of Large Language Models in Medicine. A curated list of practical guide resources of Medical LLMs (Medical LLMs Tree, Tables, and Papers)
Contributions:10 PRs, 115 pushes, 10 comments in 1 year 9 months
large-language-modelsai-in-medicineclinical-aisurveymedical-large-language-models
inFaaa/inFaaa.github.io
Sep 2022 - Jun 2026
Contributions:255 pushes in 3 years 9 months
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