Summary
Tom Radivoyevitch is an Associate Staff scientist at the Cleveland Clinic with 13 years of experience applying mathematical and statistical modeling to chronic myeloid leukemia (CML). He develops model-based dose decision support tools in R that balance disease progression risk against drug toxicity, designing adaptive dosing strategies that change aggressiveness as tumor load declines. Trained with a PhD in Risk Assessment from the Medical University of South Carolina, he blends rigorous risk-analysis methods with practical clinical modeling to inform patient-centered therapy. Based in Cleveland, Ohio, Tom’s work emphasizes quantitatively driven clinical decision support rather than black-box prediction, aiming to translate mechanistic insights into safer, individualized dosing.
13 years of coding experience
PhD, Risk Assessment, PhD, Risk Assessment at Medical University of South Carolina