Faculty

Institution

Unit

Venue

Erik Winfree

Professor of Computer Science Computation and Neural Systems and Bioengineering

California Institute of Technology

Affiliations

Division of Biology and Biological Engineering

Biology

Erik Winfree is currently serving as a Biology Professor of Computer Science Computation and Neural Systems and Bioengineering at California Institute of Technology.

Honors

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Experiences

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Education

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Erik Winfree

California Institute of Technology

Professor of Computer Science Computation and Neural Systems and Bioengineering

You can click a keyword to filter the displayed items

computer science nanotechnology molecular biology self-assembly biomolecular engineering theoretical computer science dna nanotechnology biological engineering computational biology algorithmic self-assembly bioinformatics synthetic biology discrete mathematics structural biology nanobiotechnology scientific computing natural computing dna computing transcription regulation dna tile chemical reaction networks crystal growth biocatalysis nucleation error correction supramolecular assemblies polymer engineering computability theory dna hybridization autonomous polymerization motor computational power dna analysis molecular self-assembly polymer technology neural network computation program-size complexity self-assembled squares nucleic acid strands universal computation molecular computation dna computation plo biology coordination chemistry nucleic acids chemical sciences biomolecular structure numerical simulations programming languages computational optimization additive manufacturing solid-state electronics electronics vlsi technology vlsi circuit biological computation molecular kinetics biomaterials design molecular design molecular biotechnology molecular diversity synthetic chemistry complexity science timing analysis rna biology sequence assembly catalytic synthesis molecular catalysis data encryption standard chemical thermodynamics polymerization kinetics surface chemistry surface reactivity compiler technology two-dimensional dna crystals toehold exchange engineering entropy-driven reactions molecular computing biosystems artificial life theoretical biology molecular programming

Notable Scholarly Works

Notable Federal Grants

Collaborators

Pattern Recognition in the Nucleation Kinetics of Non-Equilibrium Self-Assembly. Nature (2024)

Constantine Glen EvansJackson O’BrienErik WinfreeArvind Murugan

biophysicsnon-equilibrium self-assemblynucleation kineticsself-assemblyneuroscience

Predicting Dna Kinetics With a Truncated Continuous-Time Markov Chain Method. Computational Biology and Chemistry (2023)

Sedigheh ZolaktafFrits DannenbergMark SchmidtAnne CondonErik Winfree

dna kineticscomputational biologymolecular biology

The Tall Thin Molecular Programmer. 2022 IEEE International Solid- State Circuits Conference (ISSCC) (2023)

Erik Winfree

systems engineeringdigital circuit designcomputer engineeringcircuit designelectronic circuitsintegrated circuitssolid-state electronicselectronicselectrical engineeringmicroelectronicsvlsi technologyvlsi circuit

Detailed Balanced Chemical Reaction Networks as Generalized Boltzmann Machines. arXiv (Cornell University) (2022)

Poole, WilliamOuldridge, ThomasGopalkrishnan, ManojWinfree, Erik

materials sciencecomputational chemistrymachine learningapplied mathematicscomputer sciencegeneralized boltzmann machines

The Pathway Elaboration Method for Mean First Passage Time Estimation in Large Continuous-Time Markov Chains With Applications to Nucleic Acid Kinetics. arXiv (Cornell University) (2021)

Sedigheh ZolaktafFrits DannenbergMark SchmidtAnne CondonErik Winfree

pathway elaboration methodmembrane biologyapplied mathematics

Winner-Take-All Dynamics in Self-Assembly. Bulletin of the American Physical Society (2021)

Jackson O'BrienConstantine EvansErik WinfreeArvind Murugan

applied physicsself-assemblywinner-take-all dynamics

A Domain-Level Dna Strand Displacement Reaction Enumerator Allowing Arbitrary Non-Pseudoknotted Secondary Structures. Journal of The Royal Society Interface (2020)

Stefan BadeltCasey GrunKarthik V. SarmaBrian WolfeSeung Woo ShinErik Winfree

molecular biologystructural bioinformaticsstructural biologycomputational biologybiological engineeringbioinformatics

Programming and Simulating Chemical Reaction Networks on a Surface. Journal of The Royal Society Interface (2020)

Samuel ClamonsLulu QianErik Winfree

surface chemistrysurface reactivitysurface sciencechemical reaction networkscomputer sciencenanotechnologyengineering

Verifying Polymer Reaction Networks Using Bisimulation. Theoretical Computer Science (2020)

Robert F. JohnsonErik Winfree

materials scienceverificationcomputational sciencecomputability theorytheoretical computer scienceapplied mathematicspolymer sciencecomputer sciencenanotechnologypolymer reaction networks

Author Correction: Diverse and Robust Molecular Algorithms Using Reprogrammable Dna Self-Assembly. Nature (2019)

Damien WoodsDavid DotyCameron MyhrvoldJoy HuiFelix ZhouPeng YinErik Winfree

biological engineeringauthor correctionbioinformatics

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Erik Winfree

Professor of Computer Science Computation and Neural Systems and Bioengineering

California Institute of Technology

Affiliations

Division of Biology and Biological Engineering

Biology

Erik Winfree is currently serving as a Biology Professor of Computer Science Computation and Neural Systems and Bioengineering at California Institute of Technology.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Erik Winfree

California Institute of Technology

Professor of Computer Science Computation and Neural Systems and Bioengineering

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Pattern Recognition in the Nucleation Kinetics of Non-Equilibrium Self-Assembly. Nature (2024)

Constantine Glen EvansJackson O’BrienErik WinfreeArvind Murugan

biophysicsnon-equilibrium self-assemblynucleation kineticsself-assemblyneuroscience

Predicting Dna Kinetics With a Truncated Continuous-Time Markov Chain Method. Computational Biology and Chemistry (2023)

Sedigheh ZolaktafFrits DannenbergMark SchmidtAnne CondonErik Winfree

dna kineticscomputational biologymolecular biology

The Tall Thin Molecular Programmer. 2022 IEEE International Solid- State Circuits Conference (ISSCC) (2023)

Erik Winfree

Detailed Balanced Chemical Reaction Networks as Generalized Boltzmann Machines. arXiv (Cornell University) (2022)

Poole, WilliamOuldridge, ThomasGopalkrishnan, ManojWinfree, Erik

materials sciencecomputational chemistrymachine learningapplied mathematicscomputer sciencegeneralized boltzmann machines

The Pathway Elaboration Method for Mean First Passage Time Estimation in Large Continuous-Time Markov Chains With Applications to Nucleic Acid Kinetics. arXiv (Cornell University) (2021)

Sedigheh ZolaktafFrits DannenbergMark SchmidtAnne CondonErik Winfree

pathway elaboration methodmembrane biologyapplied mathematics

Winner-Take-All Dynamics in Self-Assembly. Bulletin of the American Physical Society (2021)

Jackson O'BrienConstantine EvansErik WinfreeArvind Murugan

applied physicsself-assemblywinner-take-all dynamics

A Domain-Level Dna Strand Displacement Reaction Enumerator Allowing Arbitrary Non-Pseudoknotted Secondary Structures. Journal of The Royal Society Interface (2020)

Stefan BadeltCasey GrunKarthik V. SarmaBrian WolfeSeung Woo ShinErik Winfree

molecular biologystructural bioinformaticsstructural biologycomputational biologybiological engineeringbioinformatics

Programming and Simulating Chemical Reaction Networks on a Surface. Journal of The Royal Society Interface (2020)

Samuel ClamonsLulu QianErik Winfree

surface chemistrysurface reactivitysurface sciencechemical reaction networkscomputer sciencenanotechnologyengineering

Verifying Polymer Reaction Networks Using Bisimulation. Theoretical Computer Science (2020)

Robert F. JohnsonErik Winfree

materials scienceverificationcomputational sciencecomputability theorytheoretical computer scienceapplied mathematicspolymer sciencecomputer sciencenanotechnologypolymer reaction networks

Author Correction: Diverse and Robust Molecular Algorithms Using Reprogrammable Dna Self-Assembly. Nature (2019)

Damien WoodsDavid DotyCameron MyhrvoldJoy HuiFelix ZhouPeng YinErik Winfree

biological engineeringauthor correctionbioinformatics

1
2
3
4
5
13
10 / page

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Similar Faculty Members

Mark Bathe

Institution

Massachusetts Institute of Technology

synthetic biology

biotechnology advance

Teresa Head-Gordon

Institution

University of California, Berkeley

applied mathematics

computational materials science

Amir Barati Farimani

Institution

Carnegie Mellon University

technological forecasting

smart manufacturing

Anatoly B. Kolomeisky

Institution

Rice University

theoretical chemistry

theoretical biology

Rebecca Schulman

Institution

Johns Hopkins University

synthetic circuits

biofabrication

Richard D. Braatz

Institution

Massachusetts Institute of Technology

systems engineering

materials science

John H. Reif

Institution

Duke University

computer science

computational science

Mark Grinstaff

Institution

Boston University

self-assembly chemistry

synthetic biology

Olexandr Isayev

Institution

Carnegie Mellon University

theoretical chemistry

molecular properties

Jay H. Lee

Institution

University of Southern California

sustainability science

energy transition