Catie is a joint degree candidate pursuing a PhD in Chemical Engineering and an MBA at Sloan. For her research, she was part of a team developing a modular continuous system for rapid production of biologic drugs, with applications in personalized medicine and local manufacturing.
Lena is a PhD candidate in the Department of Biology at MIT. Her research focuses on developing a method for specificity profiling for recombinases and using directed evolution of proteins to engineer genome-editing tools. She has also worked with MBG for the last couple of years in planning events in her previous role as the president of Harvard’s undergraduate biotech group.
Joshua Murdock is a PhD candidate in the Department of Health Sciences & Technology at MIT. His research focuses on the design of magnetic resonance-readable nanoparticle diagnostics for continuous monitoring of cardiac disease biomarkers in vivo. He has been involved in developing educational opportunities to expose and connect students to local biotech as part of the Industry Initiative since 2017.
Rosanna is an undergraduate student, double majoring in Computational Biology and Management. Her experiences spread across research, tech entrepreneurship, and investment, and her ultimate goal is to drive healthcare innovation. In her free time, she enjoys scuba diving, skiing, and poetry.
Ariel is an undergraduate student pursuing a BS degree in Computer Science, Economics, and Data Science. In addition to working with MBG, he is a Financial Board Member for the MIT Undergraduate Association, and performs research in the Sculpting Evolution Group at the MIT Media Lab.
Maria is a PhD candidate in the Department of Biology at MIT. She has experience performing research spanning the topics of cancer and aging, and developing genetic engineering tools. She has been involved in the MBG Industry Initiative since 2017, creating opportunities for MIT students to learn about the local biotech community.
Phuong Pham is an undergraduate majoring in Computer Science and Molecular Biology. She is interested in machine learning and its applications in various healthcare problems. In her free time, she enjoys reading books, meeting people, and staying up to date with biotechnology news.