Dr. Snehal Patel is a molecular pathologist and machine learning engineer with expertise in next-generation sequencing, cancer genomics, and artificial intelligence applications in pathology. He completed his MD/PhD at the University of Illinois, followed by AP/CP residency and MGP fellowship at Cedars-Sinai Medical Center and AI research fellowship at Michigan State University. Dr. Patel's research focuses on developing computational methods to improve cancer diagnosis and treatment selection, with a particular interest in integrating multi-modal data to enhance precision medicine approaches.
Education:
- B.Eng. - Math (honors) and Biomedical Engineering (cum laude), Vanderbilt University, Nashville, TN (2001)
- MD, PhD - Biochemistry, Medical Scholars Program, University of Illinois, Urbana, IL (2011)
- Executive Certficate in Entrepreneurship - Entrepreneurship & Venture Challenge Program, Eastern Michigan University, Ypsilanti, MI (2022)
Board Certification(s):
- Molecular Genetic Pathology
- Anatomic and Clinical Pathology
Residency:
- Anatomic and Clinical Pathology - Department of Pathology & Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, CA (2011-2015)
Fellowship:
- Research Fellowship in Artificial Intelligence & Machine Learning - Institute for Quantitative Health Science & Engineering, Michigan State University, East Lansing, MI (2021-2023)
- Clinical Fellowship in Molecular Genetic Pathology - Department of Pathology & Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, CA (2015-2016)
- Clinical Scholar, Clinical Scholars Program, Cedars-Sinai Medical Center, Los Angeles, CA (2015-2016)
Clinical/Research Interests:
Dr. Patel's current research focuses on developing artificial intelligence technology to bring precision and efficiency to molecular diagnostic laboratory processes to provide the best patient experience.
Select Honors and Accomplishments:
- Recognized by ABPath for Item Contribution to CertLink (2021, 2022)
- Ann Arbor SPARK Pitch Competition Winner, Topic: GenomixReporter: Automated sequencing variant interpretation & reporting, $25,000 award (2021)