Published papers on Real-time Impedimetric MUC1 Aptasensor using Microfluidic Symmetric Gold Electrode, Nominality Score Conditioned Time Series Anomaly Detection by Point/Sequential Reconstruction, Impedimetric Microfluidic Chip for MUC1 Aptasensing, Impedimetric Aptasensing using a Symmetric Randles Circuit Model, Electrochemical Impedance Modeling of Symmetric Electrodes for Aptasensing, Diffusion Impedance Modeling of Interdigitated Array Electrodes, etc.
Research Experience
Jun 2024 ~ Aug 2024, Research Intern at Design Automation Research, NVIDIA, Austin, TX, USA; Jun 2023 ~ Aug 2023, Research Intern at Applied Sciences Group, Microsoft, Redmond, WA, USA; Dec 2019 ~ Jan 2022, Standard Cell Layout Designer at Design Technology Platform, TSMC, Hsinchu, Taiwan.
Education
Jan 2022 ~ Present, Ph.D. Degree in Electrical Engineering and Computer Science at Massachusetts Institute of Technology, USA; Aug 2013 ~ Jul 2019, B.S. & M.S. in Biomechatronics Engineering at National Taiwan University, Taiwan.
Background
Research interests include machine learning and quantitative modeling on time series, computer vision, and design automation. Focused on creating projects such as Surface Plasmon Resonance Platform, Reinforcement Learning applied to Forex Trading, Real-time Impedance Detection Systems, Natural audio-to-video generation with representation learning, Multi-Agent Reinforcement Learning for 'The Resistance', Electrochemical Impedance Modeling Programs, Automated Microfluidic Controlling Platform, Aroma Alarm Clock, etc.
Miscellany
Personal interests include exploring new technologies and innovative projects.