Summary
Malvern Madondo is an AI/ML research scientist with a decade of experience applying reinforcement learning and optimal control to biomedical problems, currently leading translational research in automated radiotherapy planning at the University of Chicago. His work spans deep learning and RL across advanced modalities—gamma knife, HDR brachytherapy, and proton therapy—bridging theory and clinical application. He completed a PhD at Emory focused on closed-loop control for biomedical interventions, with projects ranging from neural modulation to diabetes management. Malvern combines academic rigor from multiple industry research internships (IBM, Eli Lilly) with hands-on software engineering experience from internships at Facebook, enabling robust, production-minded research. Based in Chicago, he brings a systems-level view that emphasizes safety, accessibility, and real-world deployability in medical AI. An oft-overlooked strength is his background in teaching and accessibility work, which informs clear communication of complex models to clinicians and stakeholders.
10 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree Mathematics and Computer Science, Bachelor’s Degree Mathematics and Computer Science at The College of St. Scholastica
Advanced Level Pure Mathematics, Advanced Level Pure Mathematics at St. Francis of Assisi High School, Chivhu, Zimbabwe
Doctor of Philosophy - PhD Computer Science and Informatics, Doctor of Philosophy - PhD Computer Science and Informatics at Emory University
Ordinary Level, Ordinary Level at All Souls' High School, Mutoko, Zimbabwe