Kwadwo Amoako Boadu is an M.D. candidate at Weill Cornell Medicine and a Summa Cum Laude graduate of the City College of New York (BS). His research training spans basic science, epidemiology, education research, and public health data systems: in vitro wound healing studies in Drosophila; traumatic brain injury analyses in older adults using the National Electronic Injury Surveillance System at the University of Rochester Medical Center; a multi year study of reasoning development in more than 100 pre med students; and data infrastructure work as a Data Intern with the Association of Schools and Programs of Public Health, where he built cross dataset glossaries and contributed literature review support to the CDC’s Disease Intervention Specialist certification initiative.
Kwadwo now trains in the Advanced Computing & Oncology (Chaunzwa) Lab at Memorial Sloan Kettering, developing multimodal AI/ML models that integrate lung cancer imaging, digital pathology, genomics, and patient reported social risk factors to guide treatment and advance equitable outcomes.