Mr Adriano Bellotti (2017)
As an undergraduate at North Carolina State University, I began to appreciate the pragmatic perspective and mathematical methods of research in biomedical engineering, and I sought to apply this empirical approach to medicine. This lead me to pursue an MD-PhD dual-degree with the University of North Carolina in hopes of leading medical researchers in facilitating the translation of new treatments and technologies into the clinic. I am particularly interested in studying neurophysiology through computational modeling, specifically with regard to neuroplasticity in both a single neuron as well as across neuronal circuits. Gaining a basic mechanistic understanding of neuronal regulation has great implications for understanding and treating various neurological disorders and pathologies. The ideal solution to any illness, especially neurodegenerative diseases, involves input from all applicable fields, including basic science, clinical science, epidemiology, sociology, and psychology, among others. The Gates Cambridge community promotes collaboration across this wide range of disciplines, and I hope to apply my engineering background and clinical experiences to my graduate work and many future projects. With careful consideration of all these viewpoints, we can achieve our ultimate goal of providing the best possible patient care.