Yunhao Fan

Mentor: Professor Pedro Alvarez

• Improved prediction accuracy of bacterial gene interactions by 25% by applying Python-based bioinformatics models to evaluate phage predation impact on periodontal pathogens.
• Integrating computational modeling into bacteriophage biofilm studies to advance indirect phage therapy.

Mentor: Professor Keith Lewis, New York University

• Enhanced stock model stability by 20% by implementing AI algorithms to address overfitting in financial prediction models.
• Authored paper “Empirical Study of VIX Option Pricing Based on Ornstein-Uhlenbeck Model” presented at the IEEE International Conference on Financial Innovation (FFIT 2022).
• Conducted 2hrs/week, 28wks/yr, introducing new risk management modeling tools.

Mentor: Sicheng Wang, PhD, Washington University in St. Louis

• Identified a 12% rise in entrepreneurship in high-traffic cities by applying Difference-in-Difference econometric analysis to trade corridor datasets.
• Visualized data trends using Python and Matplotlib; findings contributed to the MESF Science Fair (Regional Honorable Mention & Special Award).
• 10 hrs/wk for 10 wks/year

Mentor: Professor Albert Boulanger

• Increased web data integration efficiency by 30% by developing a React-based Joint Cohort Explorer for Alzheimer’s studies.
• Implemented new features including OR-group configurations and label color coding, improving visualization clarity and functionality.
• 5 hrs/wk for 13 wks/year

• Conducted 40 hrs/wk for 4 wks/year analyzing financial market models across banking, investment management, and insurance.
• Strengthened foundation in quantitative finance by learning risk modeling and algorithmic data workflows used in capital markets.