Rate My Professor Erik Winfree

Winfree's research explores the theoretical and experimental dimensions of molecular programming. His interests include DNA computation, DNA nanotechnology, algorithmic self-assembly, in vitro biochemical circuits and systems, enzyme-free DNA strand displacement circuits, DNA-based molecular robotics, molecular self-replicating systems and evolution, multistranded DNA and RNA interaction kinetics, nucleic acid system specification and sequence design, and fault-tolerant molecular computing. He develops models of computation that incorporate molecular folding, self-assembly, biochemical circuits, and molecular robotics to assess their expressiveness for tasks such as decision-making, memory, behavior, and morphogenesis. Winfree also devises methods to compile abstract molecular programs into physical molecules, testing them experimentally. Among his seminal publications are "Design and self-assembly of two-dimensional DNA crystals" (Nature, 1998), "Enzyme-free nucleic acid logic circuits" (Science, 2006), "Engineering entropy-driven reactions and networks catalyzed by DNA" (Science, 2007), "Scaling up digital circuit computation with DNA strand displacement cascades" (Science, 2011), and "Neural network computation with DNA strand displacement cascades" (Nature, 2011). His contributions have earned him the MacArthur Fellowship in 2000, the Presidential Early Career Award for Scientists and Engineers in 2002, and election as a Fellow of the American Association for the Advancement of Science in 2015 for foundational contributions to biomolecular computing and molecular programming. Winfree's scholarship has profoundly shaped the fields of DNA nanotechnology and biomolecular computation.