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Research Interest:
Machine learning and quantitative modeling on time series, computer vision, and design automation.
I am totally obsessed with creating
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
… while doing research.
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
So far, so good.
Jan 2022 ~ Present
Ph.D. Degree
Electrical Engineering and Computer Science
Massachusetts Institute of Technology, USA
Jun 2024 ~ Aug 2024
Research Intern
Design Automation Research, NVIDIA
Austin, TX, USA
Jun 2023 ~ Aug 2023
Research Intern
Applied Sciences Group, Microsoft
Redmond, WA, USA
Dec 2019 ~ Jan 2022
Standard Cell Layout Designer
Design Technology Platform, TSMC
Hsinchu, Taiwan
Aug 2013 ~ Jul 2019
B.S. & M.S.
Biomechatronics Engineering
National Taiwan University, Taiwan