- Identified different protein species and concentration levels from 50K+ Raman spectrums with over 3,000 features in each using clustering algorithms - Developed Python scripts with a PLS-DA and SVM combined machine learning pipeline for predicting protein aggregation in real-time during downstream purification; saved $20K annually in outsourcing analytical software fees

Developed an open-source wrapper around Alpha Vantage API in Julia programming language to access 15 different market data endpoints from US stock exchanges; reduced the time cost in data preprocessing by 60%

- Evaluated disease burden from HPV-related cancers in Taiwan from a real-world perspective of 50+ years worth of census data using Python; facilitated negotiations with the government sector for vaccine reimbursements - Publication: Lily Wu, Blair Chien, Yun-Chung Pan et al. “Economic Burden of Cervical and Head and Neck Cancer in Taiwan From a Societal Perspective” in preparation.

- Developed simulation package for creating a simpler but more efficient electrostatic model by modeling self-assembly and morphology of ionic surfactants with a relative error lower than 5% - Publication: Zong-Yuan Cai, Yun-Chung Pan, and Ming-Tsung Lee. “Modeling Micellization of Rhamnolipid Biosurfactant By Mesoscale Simulation.” AIChE Annual Meeting, Florida, Nov. 2019