CV

Education

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

Conference Reviewer
- IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR): 2023, 2024
Journal Reviewer
- IEEE Transactions on Medical Imaging (IEEE TMI)
- IEEE Journal of Biomedical and Health Informatics (IEEE JBHI)
- SN Computer Science

Oct. 2021 – Present: 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

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