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Chun-Jung Huang
(+886)-988-728-641
National Chiao-Tung University, Ph.D. - Photonics,2015 ~ 2020
Member of The Phi Tau Phi Scholastic Honor Society of the Republic of China.
Skills
Languages: Python, MatLab, Shell scripting, LabVIEW
Deep Learning: Proficient in CNNs, LLM development, and deployment.
GPU Programming: Python CPU to GPU migration and acceleration optimization.
Developer Tools: Obsidian, Nsight Systems, pdb (python debugger), and Git.
Work Experience
TSMC, nPtD/OPC-III Chief Engineer (March 2020 - Now)
- Advanced CNN Applications:
Integrated CNNs for enhanced anomaly detection and image processing.
- Localization of LLM:
Customized large language models to meet specific operational needs, enhancing internal AI capabilities.
- GPU Acceleration:
Directed the migration of large Python codebases from CPU to GPU, leveraging CuPy API, cp.fuse, and RawKernel to optimize performance and reduce runtime by over 50%.
The University of Tokyo, Foreign Researcher (Oct. 2017 - Sep. 2018)
Developed a CNN-based cell image recognition system from scratch, contributing to advancements in biomedical imaging and analysis.
Education
National Chiao-Tung University, Ph.D. - Photonics, 2015 ~ 2020
Development of Intelligent Wearable Near Infrared Spectroscopy
National Chiao-Tung University, Bachelor - Photonics, 2011 ~ 2015
Main Publications
- Virtual-freezing fluorescence imaging flow cytometry - Nature communications (IF:14.9) - 2020
- Intelligent classification of platelet aggregates by agonist type - Elife (IF:8.14) - 2020
- Label-free chemical imaging flow cytometry by high-speed multicolor stimulated Raman scattering - PNAS (IF:11.2) - 2019
- Functional connectivity during phonemic and semantic verbal fluency test: a multichannel near infrared spectroscopy study - JSTQE (IF:4.5) - 2015
Chun-Jung Huang
(+886)-988-728-641
National Chiao-Tung University, Ph.D. - Photonics,2015 ~ 2020
Member of The Phi Tau Phi Scholastic Honor Society of the Republic of China.
Skills
Languages: Python, MatLab, Shell scripting, LabVIEW
Deep Learning: Proficient in CNNs, LLM development, and deployment.
GPU Programming: Python CPU to GPU migration and acceleration optimization.
Developer Tools: Obsidian, Nsight Systems, pdb (python debugger), and Git.
Work Experience
TSMC, nPtD/OPC-III Chief Engineer (March 2020 - Now)
- Advanced CNN Applications:
Integrated CNNs for enhanced anomaly detection and image processing.
- Localization of LLM:
Customized large language models to meet specific operational needs, enhancing internal AI capabilities.
- GPU Acceleration:
Directed the migration of large Python codebases from CPU to GPU, leveraging CuPy API, cp.fuse, and RawKernel to optimize performance and reduce runtime by over 50%.
The University of Tokyo, Foreign Researcher (Oct. 2017 - Sep. 2018)
Developed a CNN-based cell image recognition system from scratch, contributing to advancements in biomedical imaging and analysis.
Education
National Chiao-Tung University, Ph.D. - Photonics, 2015 ~ 2020
Development of Intelligent Wearable Near Infrared Spectroscopy
National Chiao-Tung University, Bachelor - Photonics, 2011 ~ 2015
Main Publications
- Virtual-freezing fluorescence imaging flow cytometry - Nature communications (IF:14.9) - 2020
- Intelligent classification of platelet aggregates by agonist type - Elife (IF:8.14) - 2020
- Label-free chemical imaging flow cytometry by high-speed multicolor stimulated Raman scattering - PNAS (IF:11.2) - 2019
- Functional connectivity during phonemic and semantic verbal fluency test: a multichannel near infrared spectroscopy study - JSTQE (IF:4.5) - 2015