Jin Huang
Notre Dame, Indiana, United States
Summary
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SeniorJin Huang is an Applied Researcher specializing in generative AI for image and video synthesis, currently advancing diffusion and transformer-driven models at Pixocial. He holds a PhD in Computer Science from the University of Notre Dame, where his interdisciplinary research fused computer vision, machine learning, and cognitive science to develop human-in-the-loop frameworks that align model outputs with human perception. Over 11 years he has worked across academia and industry—from medical imaging and human activity recognition to fine-tuning multimodal foundational models—bringing both theoretical rigor and product-minded experimentation. Jin’s practical toolkit spans Python, PyTorch, HuggingFace and visual psychophysics, and he uniquely combines psychophysical insights with large-model engineering to improve controllability and realism in video generation. Based in Bellevue, WA, he balances deep research pedigree with applied work that bridges cutting-edge generative research and real-world retrieval and editing problems.
11 years of coding experience
Github Skills (23)
generative-adversarial-network9
generative-model8
python8
image-manipulation8
dcgan8
image-translation7
machine-learning7
gpu7
computer-graphics7
deep-learning7
computer-vision6
pytorch6
cyclegan5
neural-network5
image-generation5
Programming languages (3)
Github contributions (5)
KiyoshiKAWASAKI/face_morph_with_evt
May 2023 - Apr 2025
Contributions:31 pushes, 1 branch in 1 year 10 months
KiyoshiKAWASAKI/u-net-brain-tumor
Dec 2017 - Feb 2018
Contributions:51 pushes in 1 month
brainbrain-tumor-segmentationdeep-learningu-netbrain-tumor
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