CV
Link to my full CV
Education
- Ph.D. in Electrical and Computer Engineering, University of Maryland, 2020
- M.S. in Applied Mechanics, National Taiwan University, 2009
- B.S. in Mechanical Engineering, Yuan Ze University, 2007
Work Experience
- System Software Engineer, 2020 - Present, and Summer Intern, 2016 - 2020.
- xMD Diagnostics, Inc., a molecular diagnostics tools company.
- Designed and built from scratch an optical tissue microdissection system for precision cancer diagnosis, reducing the dissection time by up to 50%.
- Led the project from system architecture to control design, implementation, and validation.
- Created, simulated, and validated the physics- and control-based model behind the microdissection.
- Prototyped and tested the hardware — FPGAs and custom motors/circuits/housing — and software — control algorithms and statistical analysis — in LabVIEW, Python, and MATLAB/Simulink.
- Collaborated with clinicians to validate the system in clinical environment, and delivered design documents to productize the prototype.
- Delivered a working unit to clinicians at Sinai Hospital, who now use the system for cancer diagnosis.
- Software Engineer, 2013 - 2015.
- Chroma, a world-leading supplier of automated test systems.
- Developed multi-axis control systems to build a SCADA automated test line for Apple,increasing the test process output by up to 20%.
- Programmed control algorithms, real-time signal and image processing pipelines, and functional test suites in C++ and LabVIEW.
- Worked in an agile software development team and collaborated with cross-functional developers and engineers from external companies.
- Defined test plans and statistically analyzed the results to verify the systems’ performance.
- Field-tested the test line with customers to demonstrate its success in reduction of human labor.
Research Experience
- Graduate Research Assistant, 2016 - 2020
- Miniaturized Systems Control Laboratory, University of Maryland.
- Created, simulated, and validated the physics-based model and state-space control model behind optical tissue microdissection, leading to a journal publication and a conference paper.
- Solved the physical model using finite element analysis in MATLAB and simulated its thermal responses in COMSOL.
- Researched the optical properties of micron-thin material by designing tissue-mimicking phantom and computational analysis in Python.
- Designed and built a bench-top laser scanning system to run experiments for model validation.
- Developed a deep learning approach in Python/PyTorch to find the optimal operation space of the microdissection.
- Research Assistant, 2011 - 2013.
- Product Design and Development Laboratory, Chang Gung University.
- Developed and tested biomedical systems that measure and manage physiological data for elder care.
- Extracted features from physiological data — EEG, grip, and gait stability, etc. — in elderly using machine learning algorithms and statistical methods for system validation.
- Designed and built data acquisition and processing modules for physiological data collection.
- Deployed the systems at Chang Gung Health And Culture Village to experimentally prove the systems’ performance with physicians.
Skills
- Strengths: Control Theory, Machine Learning, Signal Processing, Rapid Prototyping
- Programming: MATLAB/Simulink, Python, C++, LabVIEW
- Libraries: PyTorch, OpenCV, Numpy/Scipy, Pandas, Matplotlib, Git/GitHub
- Controller platforms: NI single-board RIOs + FPGA, Raspberry Pi, Arduino
- CAD: Solidworks, Pspice, COMSOL