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Schulman, Rebecca

Associate Professor
Chemical And Biomolecular Engineering

Maryland Hall 220B
(410) 516-7170

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Johns Hopkins scholars, leaders celebrate faculty research awards

September 4, 2015

Scholars from across Johns Hopkins University’s 10 divisions gathered last night at the George Peabody Library to celebrate 60 innovative research projects that are being supported by the inaugural Catalyst and Discovery awards. Thirty-seven early career scholars (five of them from WSE) received Catalyst Awards and 23 cross-divisional faculty teams, which included 14 WSE faculty […]

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  • Ph.D. 2007, California Institute of Technology (Caltech)
  • Bachelor of Science 1999, Mass. Institute of Technology (MIT)
  • 2018 - Present:  Associate Professor, The Johns Hopkins University
  • 2011 - 2018:  Assistant Professor, The Johns Hopkins University
  • 2008 - 2011:  Miller Fellow - Department of Physics (Sponsor: Jan Liphardt), University of California, Berkeley
  • 2007 - 2008:  Department of Computer Science (Sponsor: Erik Winfree), California Institute of Technology (Caltech)
  • 2001 - 2001:  Technology Consultant, Kontiki, Inc
  • 2000 - 2001:  senior software engineer, Eazel
  • 1999 - 2000:  senior engineer,
Research Areas
  • DNA nanotechnology
  • Self-assembly
  • Smart materials in silico biomaterial design and anlysis
  • 2018:  DARPA Director's Fellowship Award
  • 2017:  Johns Hopkins University Catalyst Award
  • 2016:  DARPA Young Faculty Award
  • 2016:  DOE Early Career Award
  • 2014:  Best paper award
  • 2013:  NSF CAREER award
  • 2012:  Turing Centenary Scholar Award
  • Biological Pathways for Electronic Nanofabrication and Materials Workshop.  San Jose, CA.  November 1, 2016
  • Annual Meeting, AIChE.  San Francisco, California.  November 1, 2016
  • School of Molecular Sciences Seminar.  Tempe, Arizona.  November 1, 2016
  • DNA Computing and Molecular Programming.  Munich, Germany.  September 1, 2016
  • Laboratory for Compuational Sensing and Robotics.  Baltimore, Maryland.  September 1, 2016
  • 252nd ACS National Meeting.  Philadelphia, PA.  August 1, 2016
  • Conference on Unconventional Computation and Natural Computation.  Manchester, UK.  June 1, 2016
  • Fronteirs at the Interface of Chemistry and Biology.  Baltimore, Maryland.  May 1, 2016
  • Ten Years of DNA Origami.  Pasadena, California.  March 1, 2016
  • RNA Nanobiology Workshop.  Bethesda, Maryland.  March 1, 2016
  • Statistical Physics Seminar.  College Park, Maryland.  March 1, 2016
  • Chemical Engineering.  New York, New York.  February 1, 2016
  • Molecular Programming Project 2016 Annual Workshop.  Seattle, Washington.  January 1, 2016
  • Berkeley Statistical Mechanics Mini-Meeting.  Berkeley, California.  January 1, 2016
  • "Biomolecular robotics at the nanoscale : Where the robot and material become interchangeable", German-American Frontiers of Engineering Symposium (GAFOE).  Potsdam, Germany.  April 16, 2015
  • Widely Applied Math Seminar.  Cambridge, MA.  April 1, 2015
  • "A systematic method for designing DNA nanostructure assembly processes", Biophysical Society Annual Meeting.  Baltimore, MD.  February 1, 2015
  • "Powered DNA Logic Circuits", Biophysical Society Annual Meeting.  Baltimore, MD.  February 1, 2015
  • "DNA Templated Assembly of Nanoscale Circuit Interconnects", Biophysical Society Annual Meeting.  Baltimore, MD.  February 1, 2015
  • Molecular Programming Project 2015 Meeting.  San Francisco, California.  January 1, 2015
  • 20th Workshop on DNA Computing and Molecular Programming.  Kyoto, Japan.  September 1, 2014
  • "Software for Matter: Programming the morphogenesis, replication and metamorphosis of everyday things", Turing Centenary Project Annual Workshop.  New York City.  May 12, 2014
  • "Modular Reaction-Diffusion Programs for Complex Pattern Formation", NSF Workshop on Self-Organizing Particle Systems.  Portland, Oregon.  January 7, 2014
  • "Programmed Reaction and Diffusion Processes to Assemble Standing Gradients", AIChE 2013 Meeting.  San Francisco, California.  November 6, 2013
  • "Understanding robust chemical information flow via design. Case study : crystal-based information replication", Origins 2013.  Dresden, Germany.  July 10, 2013
  • "Ordering Self-Assembly Processes as a Principle for Rational Design and Scaling", Workshop on the Programmable Self-Assembly of Matter.  New York City.  July 2, 2013
  • "Ordering Complex DNA Self-Assembly Processes", Gordon Conference on Liquid Crystals.  Biddeford, Maine.  June 16, 2013
  • "Universal Molecular Algorithms for Learning and Pattern Formation", Workshop on the Algorithms and the Natural Sciences.  Princeton, New Jersey.  May 21, 2013
  • "Design of "living” DNA tile self-assembly processes", CECAM Workshop on Self-Assembly.  Lausanne, Switzerland.  March 4, 2013


Journal Articles
  • Agrawal DK, Schulman R (2020).  Modular protein-oligonucleotide signal exchange.  Nucleic acids research.  48(12).  6431-6444.
  • Scalise D, Rubanov M, Miller K, Potters L, Noble M, Schulman R (2020).  Programming the Sequential Release of DNA.  ACS Synthetic Biology.  9(4).  749-755.
  • Pacella MS, Mardanlou V, Agarwal S, Patel A, Jelezniakov E, Mohammed AM, Franco E, Schulman R (2020).  Characterizing the length-dependence of DNA nanotube end-to-end joining rates.  Molecular Systems Design and Engineering.  5(2).  544-558.
  • Moerman PG, Schulman R (2020).  DNA computation improves diagnostic workflows.  Nature Nanotechnology.
  • Cui X, Scalise D, Schulman R (2020).  Powering DNA strand-displacement reactions with a continuous flow reactor.  Natural Computing.
  • Dorsey PJ, Rubanov M, Wang W, Schulman R (2019).  Digital Maskless Photolithographic Patterning of DNA-Functionalized Poly(ethylene glycol) Diacrylate Hydrogels with Visible Light Enabling Photodirected Release of Oligonucleotides.  ACS Macro Letters.  8(9).  1133-1140.
  • Schaffter SW, Schulman R (2019).  Building in vitro transcriptional regulatory networks by successively integrating multiple functional circuit modules.  Nature Chemistry.  11(9).  829-838.
  • Li Y, Schulman R (2019).  DNA Nanostructures that Self-Heal in Serum.  Nano Letters.  19(6).  3751-3760.
  • Scalise D, Schulman R (2019).  Controlling Matter at the Molecular Scale with DNA Circuits.  Annual Review of Biomedical Engineering.  21.  469-493.
  • Zenk J, Billups M, Schulman R (2018).  Optimizing Component-Component Interaction Energies in the Self-Assembly of Finite, Multicomponent Structures.  ACS Omega.  3(12).  18753-18761.
  • Fern J, Schulman R (2018).  Modular DNA strand-displacement controllers for directing material expansion.  Nature Communications.  9(1).
  • Scalise D, Dutta N, Schulman R (2018).  DNA Strand Buffers.  Journal of the American Chemical Society.  140(38).  12069-12076.
  • Schaffter SW, Green LN, Schneider J, Subramanian HKK, Schulman R, Franco E (2018).  T7 RNA polymerase non-specifically transcribes and induces disassembly of DNA nanostructures.  Nucleic Acids Research.  46(10).  5332-5343.
  • Simmel FC, Schulman R (2017).  Self-organizing materials built with DNA.  MRS Bulletin.  42(12).  913-919.
  • Agrawal DK, Jiang R, Reinhart S, Mohammed AM, Jorgenson TD, Schulman R (2017).  Terminating DNA Tile Assembly with Nanostructured Caps.  ACS Nano.  11(10).  9770-9779.
  • Fern J, Schulman R (2017).  Design and Characterization of DNA Strand-Displacement Circuits in Serum-Supplemented Cell Medium.  ACS Synthetic Biology.  6(9).  1774-1783.
  • Cangialosi A, Yoon CK, Liu J, Huang Q, Guo J, Nguyen TD, Gracias DH, Schulman R (2017).  DNA sequence–directed shape change of photopatterned hydrogels via high-degree swelling.  Science.  357(6356).  1126-1130.
  • Mohammed AM, Šulc P, Zenk J, Schulman R (2017).  Self-assembling DNA nanotubes to connect molecular landmarks.  Nature Nanotechnology.  12(4).  312-316.
  • Jorgenson TD, Mohammed AM, Agrawal DK, Schulman R (2017).  Self-Assembly of Hierarchical DNA Nanotube Architectures with Well-Defined Geometries.  ACS Nano.  11(2).  1927-1936.
  • Fern J, Scalise D, Cangialosi A, Howie D, Potters L, Schulman R (2017).  DNA Strand-Displacement Timer Circuits.  ACS Synthetic Biology.  6(2).  190-193.
  • Mohammed AM, Velazquez L, Chisenhall A, Schiffels D, Fygenson DK, Schulman R (2017).  Self-assembly of precisely defined DNA nanotube superstructures using DNA origami seeds.  Nanoscale.  9(2).  522-526.
  • Zenk J, Scalise D, Wang K, Dorsey P, Fern J, Cruz A, Schulman R (2017).  Stable DNA-based reaction-diffusion patterns.  RSC Advances.  7(29).  18032-18040.
  • Schulman R, Mohammed AM, Chisenhall A, Schiffels D, Velazquez L, Fygenson D (2016).  Self-Assembly of Precisely Defined DNA Nanotube Superstructures Using DNA Origami Seeds.  Nanoscale.
  • Scalise D, Schulman R (2016).  Emulating cellular automata in chemical reaction–diffusion networks.  Natural Computing.  15(2).  197-214.
  • Zenk J, Tuntivate C, Schulman R (2016).  Kinetics and Thermodynamics of Watson-Crick Base Pairing Driven DNA Origami Dimerization.  Journal of the American Chemical Society.  138(10).  3346-3354.
  • Fern J, Lu J, Schulman R (2016).  The Energy Landscape for the Self-Assembly of a Two-Dimensional DNA Origami Complex.  ACS Nano.  10(2).  1836-1844.
  • Hu Y, Lin R, Zhang P, Fern J, Cheetham AG, Patel K, Schulman R, Kan C, Cui H (2016).  Electrostatic-driven lamination and untwisting of β-sheet assemblies.  ACS Nano.  10(1).  880-888.
  • Schulman R (2016).  Self-assembling adaptive structures with DNA.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9726.
  • Agrawal DK, Franco E, Schulman R (2015).  A self-regulating biomolecular comparator for processing oscillatory signals.  Journal of the Royal Society Interface.  12(111).
  • Agrawal DK, Franco E, Schulman R (2015).  Designing a self-regulating biomolecular comparator.  Proceedings of the American Control Conference.  2015-July.  2661-2666.
  • Schulman R, Wright C, Winfree E (2015).  Increasing Redundancy Exponentially Reduces Error Rates during Algorithmic Self-Assembly.  ACS Nano.  9(6).  5760-5771.
  • Schulman R, Doty D (2015).  Designing ordered nucleic acid self-assembly processes.  Current Opinion in Structural Biology.  31.  57-63.
  • Schulman R (2015).  Powered DNA strand displacement circuits.  Synthetic Biology: Engineering, Evolution, and Design Conference 2015, SEED 2015.  1.  386-451.
  • Zenk J, Schulman R (2014).  An assembly funnel makes biomolecular complex assembly efficient.  PLoS ONE.  9(10).
  • Scalise D, Schulman R (2014).  Emulating cellular automata in chemical reaction-diffusion networks.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  8727.  67-83.
  • Verma A, Schulman R (2014).  Anisotropic shrinkage of DNA origami after a wet-to-dry transition on mica surface.  Nanoscale Science and Engineering Forum 2013 - Core Programming Area at the 2013 AIChE Annual Meeting: Global Challenges for Engineering a Sustainable Future.  282.
  • Mohammed AM, Schulman R (2013).  Directing self-assembly of DNA nanotubes using programmable seeds.  Nano Letters.  13(9).  4006-4013.
  • Whitelam S, Schulman R, Hedges L (2012).  Self-assembly of multicomponent structures in and out of equilibrium.  Physical Review Letters.  109(26).
  • Schulman R, Winfree E (2012).  Simple evolution of complex crystal species.  Natural Computing.  11(2).  187-197.
  • Schulman R, Yurke B, Winfree E (2012).  Robust self-replication of combinatorial information via crystal growth and scission.  Proceedings of the National Academy of Sciences of the United States of America.  109(17).  6405-6410.
  • Schulman R, Winfree E (2012).  Simple evolution of complex crystal species.  Natural Computing.  11(2).  187-197.
  • Schulman R (2011).  Beyond biology: Designing a new mechanism for self-replication and evolution at the nanoscale.  Genetic and Evolutionary Computation Conference, GECCO'11.  7-14.
  • Schulman R, Winfree E (2011).  Simple evolution of complex crystal species.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  6518 LNCS.  147-161.
  • Schulman R, Yurke B (2011).  A molecular algorithm for path self-assembly in 3 dimensions.  Robotics: Science and Systems.  6.  315-322.
  • Barish RD, Schulman R, Rothemund PWK, Winfree E (2009).  An information-bearing seed for nucleating algorithmic self-assembly.  Proceedings of the National Academy of Sciences of the United States of America.  106(15).  6054-6059.
  • Schulman R, Winfree E (2009).  Programmable Control of Nucleation for Algorithmic Self-Assembly.  SICOMP.  39(4).  1581-1616.
  • Schulman R, Winfree E (2008).  How crystals that sense and respond to their environments could evolve.  Natural Computing.  7(2).  219-237.
  • Schulman R, Winfree E (2008).  How Crystals that Sense and Respond to Their Environments Could Evolve.  Natural Computing.  7(2).  219-237.
  • Schulman R, Winfree E (2007).  Synthesis of crystals with a programmable kinetic barrier to nucleation.  Proceedings of the National Academy of Sciences of the United States of America.  104(39).  15236-15241.
  • Chen HL, Schulman R, Goel A, Winfree E (2007).  Reducing facet nucleation during algorithmic self-assembly.  Nano Letters.  7(9).  2913-2919.
  • Schulman R, Winfree E (2006).  Engineering an adjustible kinetic barrier to 1-dimensional crystal nucleation.  3rd Conference on Foundations of Nanoscience: Self-Assembled Architectures and Devices, FNANO 2006.  155-156.
  • Schulman R, Winfree E (2005).  Self-replication and evolution of DNA crystals.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  3630 LNAI.  734-743.
  • Schulman R, Winfree E (2005).  Programmable control of nucleation for algorithmic self-assembly.  Lecture Notes in Computer Science.  3384.  319-328.
  • Schulman R, Winfree E (2005).  Controlling Nucleation Rates in Algorithmic Self-Assembly.  10th Annual Conference on DNA Computing.  Springer-Verlag.  LNCS 3384.  319-328.
  • Schulman R, Lee S, Papadakis N, Winfree E (2004).  One Dimensional Boundaries for DNA Tile Self-Assembly.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  2943.  108-125.
Conference Proceedings
  • Schulman R, Agrawal DK, Franco E (2015).  A self-regulating biomolecular comparator for processing oscillatory signals.  IEEE Control Systems Society , 2015 American Control Conference.
  • Scalise D, Schulman R (2014).  Emulating Cellular Automata in Chemical Reaction-Diffusion Networks.  DNA Computing and Molecular Programming.  Springer-Verlag.  67-83.
  • Schulman R, Winfree E (2010).  Simple Evolution of Complex Crystal Species.  DNA Computing 16.  Springer-Verlag.
  • Schulman R, Yurke B (2010).  A Molecular Algorithm for Path Self-Assembly in 3 Dimensions.  Robotics: Science and Systems VI.  MIT Press.
  • Schulman R, Winfree E (2005).  Self-Replication and Evolution of DNA Crystals.  Advances in Artificial Life, 8th European Conference.  Springer-Verlag.  734-743.
  • Schulman R, Lee S, Papadakis N, Winfree E (2004).  One Dimensional Boundaries for DNA Tile Self-Assembly.  9th Annual Conference on DNA Computing.  Springer-Verlag.  108-125.
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