Erik Winfree
Professor of Computer Science, Computation and Neural Systems, and Bioengineering
B.S., University of Chicago, 1991; Ph.D., Caltech, 1998. Assistant Professor, Caltech, 1999-2006; Associate Professor, 2006-10; Professor, 2010-.
Research interests: molecular programming, DNA nanotechnology, DNA computing, cell-free biochemical circuits, nucleic acid systems, biophysics, complexity theory, programming languages and compilers, evolutionary systems
Overview
Professor Winfree's research involves theoretical and experimental aspects of molecular programming. Models of computation are developed that incorporate essential features of molecular folding, molecular self-assembly, biochemical circuits, and molecular robotics. These models are studied to determine their expressiveness for programming molecular-level tasks including decision-making, memory, behavior, and morphogenesis. Methods for compiling abstract molecular programs into actual molecules are developed and tested in the laboratory.
Related News
Read more newsPublications
- Evans, Constantine Glen;O'Brien, Jackson et al. (2024) Pattern recognition in the nucleation kinetics of non-equilibrium self-assemblyNature
- Zolaktaf, Sedigheh;Dannenberg, Frits et al. (2023) Predicting DNA kinetics with a truncated continuous-time Markov chain methodComputational Biology and Chemistry
- Evans, Constantine Glen;O'Brien, Jackson et al. (2022) Pattern recognition in the nucleation kinetics of non-equilibrium self-assembly
- Johnson, Robert F.;Winfree, Erik (2020) Verifying polymer reaction networks using bisimulationTheoretical Computer Science
- Badelt, Stefan;Grun, Casey et al. (2020) A domain-level DNA strand displacement reaction enumerator allowing arbitrary non-pseudoknotted secondary structuresJournal of the Royal Society Interface
- Clamons, Samuel;Qian, Lulu et al. (2020) Programming and simulating chemical reaction networks on a surfaceJournal of the Royal Society Interface
- Cappelletti, Daniele;Ortiz-Muñoz, Andrés et al. (2020) Stochastic Chemical Reaction Networks for Robustly Approximating Arbitrary Probability DistributionsTheoretical Computer Science
- Winfree, Erik (2019) Chemical Reaction Networks and Stochastic Local Search
- Brailovskaya, Tatiana;Gowri, Gokul et al. (2019) Reversible Computation Using Swap Reactions on a Surface
- Zolaktaf, Sedigheh;Dannenberg, Frits et al. (2019) Efficient Parameter Estimation for DNA Kinetics Modeled as Continuous-Time Markov Chains
Related Courses
2023-24
BE/CS/CNS/Bi 191 ab – Biomolecular Computation
2022-23
BE/CS/CNS/Bi 191 ab – Biomolecular Computation
2021-22
BE/CS/CNS/Bi 191 ab – Biomolecular Computation
2020-21
BE/CS/CNS/Bi 191 ab – Biomolecular Computation