Stephen Shang, PhD, is a data scientist at the South Florida Proton Therapy Institute, where he develops machine learning methods for CT surface mapping, immobilization mask detection, and adaptive proton therapy decision support. His current work integrates DICOM analysis, 3D reconstruction, and predictive modeling to evaluate resimulation needs in head and neck cancer patients.
He completed his PhD in Biochemistry and Molecular Genetics at the University of Virginia, focusing on epigenomic mechanisms of chemoresistance, and a postdoctoral fellowship at Stanford University, where he advanced integrative bioinformatics approaches using Hi-C and CRISPR technologies. His research bridges computational methods, epigenomics, and radiation oncology, with publications in Nature Computational Science, Molecular Cell, and Cancer Research.
On his spare time he likes climbing, learning more about ML, and dabbling with generative AI models.
Disclosures:
- Employment: South Florida Proton Therapy Institute:Data Scientist:Employee
- Compensation: :Role Topic Description-End Date:
- Ownership: none
- Leadership: none