Student Profile
Caleb Reagor
I develop deep-learning methods to infer causal interactions between genes in complex regulatory networks.
I became interested in the emergent properties of complex biological systems as an undergraduate studying information transmission in cell-signaling networks. This eventually led to my current work studying the gene-regulatory networks that drive cell-fate decisions across development. As a member of Dr. Hudspeth’s group at Rockefeller University, I develop deep-learning methods to infer causal interactions between genes in complex regulatory networks. The long-term goal of this work is to understand the blueprint for multicellular development and facilitate targeted interventions to correct cell-type imbalances that arise from tissue damage and disease. I chose to pursue this work through CBM because the program provides me with the flexibility to choose the coursework that can best prepare me to meet my long-term research goals. Being a member of CBM has also allowed me to consult with experts across multiple world-class institutions, which has both improved the quality of my work and helped me establish important professional connections. New York City has provided a vibrant backdrop for it all, fostering a global awareness that I will carry with me beyond graduate school.