Siddhartha Yadav

Siddhartha Yadav, M.B.B.S., M.D., serves as Assistant Professor of Oncology at Mayo Clinic College of Medicine and Consultant in the Division of Medical Oncology, Department of Oncology, Mayo Clinic. Specializing in breast and gynecologic cancers, he integrates genetic testing for mutations in BRCA1/2, PALB2, ATM, and other DNA repair genes to guide personalized treatment with targeted therapies and immunotherapy.

His educational journey includes:

• MBBS, Tribhuvan University, Institute of Medicine (2009)
• Internal Medicine Residency, William Beaumont Hospital (2014)
• Chief Resident, William Beaumont Hospital (2015)
• Hematology/Oncology Fellowship, Mayo Clinic College of Medicine (2020)
• Chief Fellow, Mayo Clinic College of Medicine (2020)

Dr. Yadav's research centers on genetic predisposition to breast/ovarian cancer, tumor biology in germline mutation carriers, and precision oncology clinical trials. He investigates how DNA repair deficiencies influence therapeutic resistance and develops strategies targeting PARP/CDK4/6 inhibitor resistance mechanisms and immune microenvironment modulation through novel oncolytic viruses.

His scientific contributions are recognized through awards including:

• Marion Wright Award for Scientific Excellence, Breast Cancer Research Foundation (2023)
• Career Development Award, Conquer Cancer Foundation (2023)
• Mayo Brothers Distinguished Fellowship Award (2020)
• ASCO Young Investigator Award (2019)

Funded by Mayo Clinic SPORE programs and national foundations, Dr. Yadav leads translational research while serving on ASCO guideline panels. His multidisciplinary clinical practice involves genetic counselors, surgical specialists, and survivorship experts to empower patients through shared decision-making, with particular expertise in male breast cancer and hereditary cancer syndromes.

Research activities are conducted within Mayo Clinic Comprehensive Cancer Center infrastructure, leveraging institutional resources for genomic analysis and clinical trial implementation without a separately named laboratory.