Baode Gao possesses a strong foundation in mathematics and statistics. Driven by a keen interest in cutting-edge machine learning methodologies, his current research focuses on bridging the gap between advanced data science and radiation oncology, where he develops uncertainty-incorporated ensemble machine learning models and conformal prediction frameworks to predict severe radiation-induced lymphopenia (RIL) and guide personalized treatment selection. He is dedicated to leveraging these hybrid statistical and machine learning frameworks to solve complex challenges in medical data analysis and personalized medicine.
Disclosures:
- Employment: none
- Compensation: none
- Ownership: none
- Leadership: none