Kevin Hughes, M.D. FACS
Director of Cancer Genetics, McKoy Rose Professor of Surgery, Medical University of South Carolina
Dr. Hughes brings decades of experience in hereditary cancer risk management. He is pioneering the use of artificial intelligence to assist in treatment planning and clinical decision-making.
Jihad Obeid, MD, FAMIA
Endowed Chair and Professor in Biomedical Informatics, Medical University of South Carolina
Julie Henderson, MS MA
Assistant Professor of Computer Science, Software Engineer, Charleston Southern University, Medical University of South Carolina
Andrew Disharoon
Software Engineer/Data Scientist, Medical University of South Carolina
Isabelle Museck
PhD Student, Graduate Research Assistant, Medical University of South Carolina
Isabelle is a second year PhD student with a background in Bioengineering from Clemson University. She is passionate about working on projects that apply new technology to improve outcomes for both patients and physicians.
Emalie Houk
Medical Student, Medical University of South Carolina
Emalie is a fourth-year medical student and will begin her residency in July of 2026. Her broader research experience includes global health work in Tanzania and investigations into factors affecting women's health outcomes, including pre-eclampsia, sickle cell disease, and disruptions of the gut microbiome.
Ahmet Acar, M.D.
Emergency Department doctor at Avrupa Hospital in Istanbul, Turkey
Meghdeep Sen
Medical Student at the American University of Antigua in Coolidge, Antigua
Kelly Bontempo
Senior Genetic CounselorCenter for Genomic Medicine, Advocate Aurora Health
Jennifer Scalia
Teaching Associate in Obstetrics and Gynecology, Warren Alpert Medical School of Brown University
Conner McCaw
Student, Software Engineer Intern
Charleston Southern University, Medical University of South Carolina
Conner is an undergraduate Computer Science student at Charleston Southern University and an intern at MUSC. He designed and built the landing pages for hereditarycancer.ai, focusing on front-end development, user experience, and making cancer research more accessible online.
