معرفی
Dr. Gyan Bhanot is a Professor at Rutgers, The State University of New Jersey, affiliated with the Department of Biological Physics. His research focuses on cancer genomics, immunotherapy biomarkers, pandemic modeling, and machine learning applications in biomedicine. He has advised students including Anshuman Panda (Ph.D. 2018) and Kshitij Wagh (Ph.D. 2013). His work integrates computational methods to study viral evolution, tumor recurrence, and genomic signatures in diseases like renal cell carcinoma and breast cancer.
Education details are not explicitly provided in the text, but his extensive publications indicate advanced training in physics and computational biology. His research spans broad areas such as:
- Cancer immunotherapy response prediction using endogenous retrovirus expression
- Epidemiological models for SARS-CoV-2 transmission dynamics
- Machine learning platforms for genomics (e.g., PrismML)
- Analysis of ribosomal protein variations in malignancies
Dr. Bhanot’s articles highlight innovations in predicting pandemic behaviors, identifying cancer biomarkers, and understanding genomic instability in tumors. His recent work addresses critical questions in public health and precision medicine.
