CV

PhD Student in Electrical and Computer engineering

MSc. in Control Systems with Distinction

BSc. in Automation Engineering

BEng. in Electronic Information and Engineering (Sino-Italian Double Bachelor Degree Program)

Graduate Research Assistant at University of Minnesota

• Developed algorithm for quantifying errors in non-equilibrium experiments with limited data
• Validated the algorithm using simulations and experiments by Optical Tweezers via a Python-based toolbox
• Automated analysis of experimental data with Matlab, reducing processing time from days to two hours
• Conducted statistical analysis of experimental data to model muscle proteins
• Developed a physics-based Monte Carlo engine to simulate force spectroscopy data
• Designed a novel physics-augmented deep learning model to identify single-molecule data, reducing processing to under an hour

Data Scientist Intern

• Fine-tuned large language models (LLMs) to task-specific data
• Evaluated various parameter-efficient fine-tuning (PEFT) methods on different pre-trained LLMs
• Built a chatbot in Amazon Web Service (AWS) to interact with fine-tuned LLMs