Joshua was born and raised in South Florida, before venturing north to Brown University for his undergraduate degree. He entered school initially with a Computer Science (CS) concentration, but switched to Computational Biology after an opportunity to conduct genomics research changed his perspective. His projects primarily involved writing Python and R scripts to track genomic alterations in immunocompromised patients. He continued to explore the applications of CS in biology through a summer internship at Regeneron Pharmaceuticals, where he developed analytical dashboards to automate single cell RNA-Seq pipelines. A growing conviction to pursue research and medicine led him to MSTP at NYU School of Medicine, where he is currently a MD/PhD student. His thesis research focuses on developing machine learning algorithms to build clinical decision support tools and support biomedical research initiatives.
Joshua has worked with students from a variety of backgrounds and learning styles. Previously, he has had extensive experience guiding college-level computer science courses as a teaching assistant. In addition, Joshua has been involved as a strategy coach with medical school admissions. Leveraging his past experiences as a student interviewer, he has mentored premed students with crafting authentic personal statements and preparing for MMI interviews.
In his spare time, Joshua enjoys reading personal finance websites. During preclinical, he was the co-president of the Business and Economics in Medicine club where he helped organize events such as career panels exploring alternative paths in medicine (ex. medical journalism, consulting, device engineering etc.). Joshua is passionate about helping students integrate interdisciplinary interests into their future careers.