Education

National Cheng Kung University, Tainan, Taiwan

  • MS in Mechanical Engineering (2020 - 2022)
    • GPA: 4.06/4.3, 32 credits
    • Thesis: Neural Decoder Design for High-Density Single-Channel-to-Multi-Micro-electrode Arrays
    • Advisor: Prof. Shih-Hung Yang
    • Relevant Course: Clinical and Experimental Neuroscience, Data analysis and software practice for clinical research, Biomedical signal processing, Electrophysiology From Neuron to Brain

National Cheng Kung University, Tainan, Taiwan

  • BS in Mechanical Engineering (2016 - 2020)

Experience

Research: Dr. Yu-Wei Wu’s Lab, Institute of Molecular Biology, Academia Sinica

  • Research Assistant (Jan 2023 - Present)
    • Using contrastive learning tool (CEBRA) observes the relationship between neural activity and behavior
    • Extracting behavioral data from videos by directly analyzing visual features with computer vision, without relying on point coordinates

Teaching: Advanced Competitive Programming, National Cheng Kung University

  • Teaching Assistant (2019 - 2022)
    • Developed open courses and online textbooks
    • Organized weekly competitions to help students assess and realize their problem-solving capabilities in terms of speed and quality
    • Highly favored by hundreds of students, it has become a course recommended for graduate students by many laboratories

Volunteers: Team PassByValue, ASUS Foundation & National Cheng Kung University

  • Teaching Assistant (Jul, 2017)
    • Taught dozens of aboriginal children to use computers

Honors & Awards

  • Kick Start - Google’s Coding Competitions Round G 2022, 93rd in the world, first in Taiwan
  • International Collegiate Programming Contest
    • Asia Taipei-Hsinchu Regional Programming Contest, Bronze (2020)
    • China Nanchang National Invitational Programming Contest, Bronze (2019)

Major Research Interests

Theoretical and Model Foundations for Brain-Computer Interface (BCI) Technology

  • Develop theoretical models and computational frameworks based on an understanding of neural signal processing mechanisms
  • Aim to create BCI systems that interact more naturally with the biological nervous system

Multimodal Neural Data Integration and Analysis

  • Design signal processing pipelines and latent encoders that adapt to behavioral signals from different modalities
  • Use contrastive learning to integrate neural signals and uncover the relationship between the brain and behavior

Exploring Information Processing: The Role of Spike Timing and Spiking Neural Networks in the Brain

  • Delve into how the brain processes and decodes sensory stimuli, especially sensor information
  • Focus on the coordination of neuronal Spike Timing and Spike Neural Networks