SKILLS
Technical Skills
Soft Skills
Languages
ABOUT ME
I hold a Master’s in Applied Chemical Science and Technology from the University of Washington and a Bachelor’s degree in Chemistry from National Sun Yat-sen University, with a strong foundation in chemical reaction mechanisms, materials science, and instrumental analysis.
Through research and project experience, I have applied data analytics and machine learning to investigate chemical behaviors, identify root causes, and propose actionable improvements. I also have hands-on experience in microfluidic device design, high-throughput sample processing, and defect analysis, bridging theory with practical execution.
Skilled in structured problem-solving and cross-functional collaboration, I effectively communicate technical insights to engineers, manufacturing teams, and stakeholders. I am eager to apply my expertise in semiconductor process engineering, contributing to process optimization, yield improvement, and technological innovation.
EDUCATION
University of Washington
GPA: 3.53 / 4.0
Dec 2023 | Seattle, WA
National Sun Yat-sen University
WORK EXPERIENCE
Precision Analytical
- Quantified creatinine using UV-Vis spectroscopy to normalize urine concentration and performed replicate measurements for routine quality control. Used reference samples and statistical control limits (conceptually similar to SPC) to monitor variation and identify abnormal results, supporting efficient and consistent sample processing workflows.
- Applied Six Sigma methodology to investigate significant deviation in patient urine creatinine measurements.
- Operated the Lynx automated liquid dispensing system and C18 column-based extraction process for high-throughput hormone analysis (androgen, estrogen, progesterone), strictly adhering to SOPs to ensure process repeatability and data consistency across urine and saliva samples.
- Performed methanol recycling to reduce chemical waste and operational costs.
COURSEWORK PROJECTS
Hackathon - Defect Identification and Classification Using YOLOv5 and Azure Machine Learning
- Trained a defect detection and multiclass classification model using MoS₂ images, applying image preprocessing techniques to enhance defect visibility and reduce noise.
- Verified detected defects using intensity profile analysis and manual cross-checking to ensure practical validity.
- Evaluated model performance using precision and recall metrics to assess detection reliability.
Design Project: Quorum Sensing Behavior Observation
- Designed a microfluidic device divided into four functional zones:
- Droplet generation – flow-focusing method
- Mixing / Fusion – pillar-induced fusion
- Incubation – delay-line channels
- Detection – fluorescence measurement at outlet
- Selected optimal design methods for each zone, supported by literature research.
- Applied systematic design principles to ensure functionality, efficiency, and reproducibility.
Extracurricular Activities
2019 International Top University Regatta
- Participated in the 2019 International Top Universities Regatta (ITUR) held at Qingdao Olympic Sailing Center, competing alongside 12 invited teams from prestigious universities worldwide.
- Through teamwork and strategic sailing, I enhanced my communication and cross-cultural collaboration skills while engaging with peers from top global universities.
Get In Touch
Feel free to reach out for collaboration or professional opportunities.