Adam Cone received his BA with honors in Math from NYU, where he conducted original research in computational neural science and experimental fluid mechanics. He received his MA in Applied Math from UCLA, concentrating in differential equations and numerical methods. He received his MS in Structural Engineering from Columbia University, concentrating in dynamics and finite element methods. He has worked as a consulting engineer, an environmental analyst, a test preparation instructor, and a technical analyst for the MTA. He is currently a full-time Data Science Fellow at NYCDSA.
