Victor Beck has broad experience in modeling physical phenomenon, including heat transfer, fluid dynamics, mass transport, and chemical reactions. At PARC he has used his expertise to model problems in printer thermal management, multiphase reactor design, and novel methods for flow clarification. His current research focuses on new methods to generate smart, processesable materials.
Prior to PARC, Victor served as a Senior Postdoctroal Scholar at the California Institute of Technology, where he used theory and experiments to study the self-assembly mechanisms of DNA in the context of DNA nanotechnology. He also worked on fault detection in refinery processes using statistical and machine learning methods during his time at ExxonMobil.
Victor holds a Ph.D. and M.S. degrees from Stanford University and a B.S. from Northwestern University, all in Chemical Engineering. In graduate school his research focused on polymer dynamics in non-linear flows, where he developed expertise in rheology, polymer physics, and numerical methods.