CV
Education
- Ph.D. in Computer Science, National Taiwan University, Current
- M.S. in Bioinformatics, National Taiwan University, 2021
- Pharm.D. in Pharmacy, National Cheng Kung University, 2019
Research experience
- Feb. 2023 - Present: Research Assistant
- Department of Computer Science and Information Engineering, National Taiwan University
- Invented Dense Normalization for unpaired image-to-image translation at arbitrary resolutions
- Designed a semi-supervised turning time segmentation algorithm incorporating 3D human pose estimation
- Explored inpainting and semi-supervised learning techniques for applications in gait analysis
- Sep. 2019 – Sep. 2021
- Department of Computer Science and Information Engineering, National Taiwan University
- Formulated a multimodal (2D/3D vision & speech) deep learning algorithm for Parkinson’s disease diagnosis
- Investigated the temporal consistency in video-based 3D human pose estimation
- Created a web service and 3D visualizer for protein binding structure prediction
- Employed computational strategies in the development of a COVID-19 vaccine
- Jun. 2019 - Sep. 2019: Summer Research Intern
- Institute of Information Science, Academia Sinica
- Employed the RGB concept to craft a deep learning-based mutation prediction algorithm
Professional service
- Conference Reviewer
- IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR): 2023, 2024
- International Conference on Learning Representations (ICLR): 2025
- Journal Reviewer
- IEEE Transactions on Medical Imaging (IEEE TMI)
- IEEE Journal of Biomedical and Health Informatics (IEEE JBHI)
- SN Computer Science
Honor
- Oct. 2024: IEEE TMI Distinguished Reviewer (Silver Level)
Work experience
- Oct. 2021 – Aug. 2024: Senior Machine Learning Engineer
- aetherAI
- Led a research team to invent Kernelized Instance Normalization (published in ECCV 2022)
- Directed a research team to demystify the challenges of semi-supervised object detection in pathological images
- Invented a linear-time Non-Maximum Suppression algorithm, achieving over 1,000-fold reduction in computational time for nuclei detection
- Reduced manual effort by over 400% through the implementation of a distributed annotation and inference system
- Explored and developed package encryption strategies
- Optimized and accelerated instance segmentation and object detection algorithms
- Jul. 2020 – Dec. 2020: Data Engineer Intern
- Dcard
- Designed and integrated an automatic image cropping system using deep learning
- Conceived an efficient algorithm with contrastive learning to identify cyber warriors among 1,000,000+ users
- Sep. 2018 - Jun. 2019: Clinical Pharmacist Intern
- National Cheng Kung University Hospital
- Developed an Android application, “Vancalc”, for vancomycin dosage estimation Google Play
- Provided patient care in specialized departments including psychiatry, cardiology, nephrology, and the intensive care unit
Skills
- Programming Languages: C/C++, Python, JavaScript, Rust, Verilog
- Frameworks: PyTorch, ReactJS, Flask, FastAPI, Celery
- Developer Tools: Docker, MySQL, Git, Linux
- Applications: Distributed System Design, Web Programming, Computer Vision, Machine Learning, Cyber Security