Renee joined the research faculty in the IMO department in 2022. She also completed her postdoctoral training in the IMO department, after earning her Bachelor of Science in Mathematics from Florida A&M University and her Masters and PhD from North Carolina State University. Her research focuses on developing novel, predictive models of non- and minimally-invasive biomarkers. After careful model calibration and validation, these models can be used to propose alternative treatment strategies that can ultimately be used to reduce cancer health disparities.
Twitter: @ReneeBradyPhD
Daniel develops Bayesian joint models of patient-reported outcomes (PRO), tumor growth inhibition (TGI) and time-to-event (TTE) to dynamically predict patient-specific response to oncologic therapy.
For fun he sings and is a regular at a local Thai restaurant.
Phebe joined the lab in 2023 as a Graduate Student, majoring in the Integrated Mathematical Oncology track of the Cancer Biology PhD program. She graduated with a MS in Scientific Computing and Industrial Modeling and a Bachelors in Mathematics from the Kwame Nkrumah University of Science and Technology in Ghana. Her work in the lab is focused on the intersection of mathematics, oncology, and epidemiology, specifically investigating how mathematical modeling of patient-reported outcomes can contribute to enhancing treatment strategies, with the long term goal of improving the length and quality of patients’ lives.
Twitter: @enawoode
Andree joined the lab as a Graduate Student in the IMO PhD program in 2026. She received a B.S. in Computer Science, Software Engineering Concentration. Andree works to understand the effects of chemotherapy infusion timing of in ovarian cancer relative to a patient-specific circadian phase with the goal of suggesting alternative schedules personalized for a patient’s biological clock that reduce treatment-related toxicity while improving quality of life.
Outside the lab, she enjoys salsa dancing, yoga on the beach, and listening to vinyls with her cat Nico.
LinkedIn: https://www.linkedin.com/in/andreekolliegbo/
IMO Youtube: http://www.youtube.com/@MathOnco
Ambika joined the lab as a Research Trainee in 2022. She is currently a fourth-year undergraduate student at UNC-Chapel Hill studying biostatistics at Gilling’s Scholl of Global Public Health. She is interested in how the intersection between mathematics and accessible medical care can improve public health. Her work in the lab primary focused on analyzing patient-reported outcomes data to predict tumor volume treatment responses. Check out her latest work in Clinical Cancer Research here.
LinkedIn: https://www.linkedin.com/in/ambikabhatt/
Moriam joined the lab in the summer of 2023 as a research intern in the SIAM-Simon program. She is a junior at the University of Richmond, majoring in Biochemistry and minoring in Mathematics. During her internship, she compared prostate-specific antigen dynamics between black and white prostate cancer patients to identify resistance mechanisms.
Ron Thomas joined the lab in the summer of 2023 as a high school intern through the HIP-IMO program. He is a Senior at Middleton High School. During his internship, he compared tumor volume dynamic models to determine the best model to describe patient-specific volumetric changes in non-small cell lung cancer.
Alexandria joined the lab as a Research Assistant in 2022. She is an undergraduate student at the University of South Florida majoring in Applied Mathematics. Alex’s work in the lab is focused on analyzing differences in response dynamics between African American and European American prostate cancer patients to identify alternative ways to administer hormone therapy. Her long term goal is to pursue research in biomath to aid in closing health disparity gaps using mathematical tools.
Diya joined the lab as a Research Intern in 2023. She is currently an undergraduate student at the University of South Florida, majoring in biomedical sciences and mathematics. Her work in the lab is focused on studying how patient reported outcome data can be used to predict patient-specific volumetric changes during treatment. She is spending summer 2026 at MD Anderson.
JP joined the lab on December 2025. He received his Bachelors in Math at the University of Guam and pursued his PhD in Systems Modeling & Analysis with a focus on mathematical biology at Virginia Commonwealth University. He worked on developing patient-specific models for prostate cancer patients and is now in Virginia. Outside of work JP enjoys working out and listening to music.