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Reid Van Lehn

Reid Van Lehn

Hunt-Hougen Associate Professor in Chemical and Biological Engineering

The Van Lehn group uses molecular simulations and data-centric methods to characterize, predict, and engineer the behavior of synthetic and biological soft materials. We study a range of soft materials, including nanoparticles, peptides, lipid membranes, liquid crystals, and polymers, for applications relevant to human health, sustainability, and energy. Our research is purely computational and is complemented by close collaborations with a variety of experimental groups. Current research directions include (1) designing synthetic materials to interact with biological systems for applications in drug delivery and biosensing, (2) screening solvents for polymer dissolution and depolymerization for applications in plastics recycling and biomass valorization, (3) uncovering rules governing interactions with lipid membranes for drug delivery and antimicrobial applications, and (4) understanding structure in complex liquid environments for applications in biomaterials design, energy storage, and catalysis.

Department

Chemical & Biological Engineering

Contact

3012, Engineering Hall
1415 Engineering Dr
Madison, WI

  • PhD 2014, Massachusetts Institute of Technology
  • BS 2009, Massachusetts Institute of Technology

  • Molecular simulation
  • Nanomaterials
  • Soft materials
  • Nano-bio interactions
  • Cell membranes
  • Solvent effects
  • Plastics recycling

  • 2025 University of Wisconsin-Madison, Vilas Early Career Award
  • 2024 College of Engineering, Universtiy of Wisconsin-Madison, Benjamin Smith Reynolds Award for Excellence in Teaching
  • 2022 Chemical and Biological Engineering, Universtiy of Wisconsin-Madison, Hunt-Hougen Associate Professorship
  • 2021 AIChE CoMSEF, AIChE CoMSEF Young Investigator Award for Modeling & Simulation
  • 2021 National Science Foundation, NSF CAREER Award
  • 2021 University of Wisconsin-Madison, Vilas Associate
  • 2020 3M, 3M Non-Tenured Faculty Award
  • 2016 Chemical and Biological Engineering, Universtiy of Wisconsin-Madison, Conway Assistant Professorship
  • 2016 Forbes , Forbes 30 Under 30 in Science List
  • 2016 College of Engineering, Univ. of Wisconsin-Madison, Jay and Cynthia Ihlenfeld Faculty Scholar
  • 2015 National Institutes of Health, National Institutes of Health Ruth-Kirschstein F32 Postdoctoral Fellowship
  • 2013 Materials Research Society, Graduate Student Award, Gold Medal Winner
  • 2013 MIT Dept. of Mat. Sci, John Wulff Award for Excellence in Teaching an Undergraduate Subject
  • 2010 National Science Foundation, NSF Graduate Research Fellowship
  • 2009 Massachusetts Institute of Technology, Robert Rose Presidential Fellowship

  • Bar-Ziv, E., Kolapkar, S., Huber, G. W., & Van Lehn, R. (2024). A Novel Solvent-Based Recycling Technology: From Theory to Pilot Plant. Technology Innovation for the Circular Economy: Recycling, Remanufacturing, Design, Systems Analysis and Logistics, 477--494.
  • Li, J., Van Lehn, R., & Maravelias, C. T. (2024). An Explainable Classification Framework for Determining and Understanding the Suitability of Solvent Extraction for Bioproduct Recovery. ACS Sustainable Chemistry & Engineering, 12(14), 5436--5446.
  • Li, J., & Van Lehn, R. (2024). Effects of acid dissociation and ionic solutions on the Aggregation of 2-pyrone-4, 6-dicarboxylic acid.
  • Richardson, J., & Van Lehn, R. (2024). Free Energy Analysis of Peptide-Induced Pore Formation in Lipid Membranes by Bridging Atomistic and Coarse-Grained Simulations.
  • Cui, X., Zhou, P., Xu, Z., Liu, Q., Nuli, Y., Wang, J., Van Lehn, R., & Yang, J. (2024). High-voltage Li metal batteries enabled by a nonflammable amphiphilic electrolyte. Energy Storage Materials, 66, 103235.
  • Huang-Zhu, C. A., Sheavly, J. K., Chew, A. K., Patel, S. J., & Van Lehn, R. (2024). Ligand Lipophilicity Determines Molecular Mechanisms of Nanoparticle Adsorption to Lipid Bilayers. ACS nano, 18(8), 6424--6437.
  • Marzouq, A., Morgenstein, L., Huang-Zhu, C. A., Yudovich, S., Atkins, A., Grupi, A., Van Lehn, R., & Weiss, S. (2024). Long-Chain Lipids Facilitate Insertion of Large Nanoparticles into Membranes of Small Unilamellar Vesicles. Langmuir, 40(20), 10477--10485.
  • Bassani, C. L., Van Anders, G., Banin, U., Baranov, D., Chen, Q., Dijkstra, M., Dimitriyev, M. S., Efrati, E., Faraudo, J., Gang, O., & others, (2024). Nanocrystal Assemblies: Current Advances and Open Problems. ACS nano.
  • Jiang, S., Qin, S., Van Lehn, R., Balaprakash, P., & Zavala, V. M. (2024). Uncertainty quantification for molecular property predictions with graph neural architecture search. Digital Discovery.
  • Qin, S., Jiang, S., Li, J., Balaprakash, P., Van Lehn, R., & Zavala, V. M. (2023). Capturing molecular interactions in graph neural networks: a case study in multi-component phase equilibrium. Digital Discovery, 2(1), 138--151.

  • CBE 440 - Chemical Engineering Materials (Spring 2025)
  • CBE 890 - Pre-Dissertator's Research (Spring 2025)
  • CBE 990 - Thesis-Research (Spring 2025)
  • CHEM 980 - Seminar: Review of Current Research (Spring 2025)
  • CHEM 990 - Research (Spring 2025)
  • CBE 311 - Thermodynamics of Mixtures (Fall 2024)
  • CBE 710 - Advanced Chemical Engineering Thermodynamics (Fall 2024)
  • CBE 890 - Pre-Dissertator's Research (Fall 2024)
  • CBE 990 - Thesis-Research (Fall 2024)
  • CHEM 980 - Seminar: Review of Current Research (Fall 2024)
  • CHEM 990 - Research (Fall 2024)
  • CBE 890 - Pre-Dissertator's Research (Summer 2024)
  • CBE 990 - Thesis-Research (Summer 2024)
  • CHEM 990 - Research (Summer 2024)
  • CBE 311 - Thermodynamics of Mixtures (Spring 2024)
  • CBE 599 - Special Problems (Spring 2024)
  • CBE 890 - Pre-Dissertator's Research (Spring 2024)
  • CBE 990 - Thesis-Research (Spring 2024)
  • CHEM 980 - Seminar: Review of Current Research (Spring 2024)
  • CHEM 990 - Research (Spring 2024)
  • CBE 440 - Chemical Engineering Materials (Fall 2023)
  • CBE 562 - Special Topics in Chemical Engineering (Fall 2023)
  • CBE 599 - Special Problems (Fall 2023)
  • CBE 890 - Pre-Dissertator's Research (Fall 2023)
  • CBE 990 - Thesis-Research (Fall 2023)
  • CBE 890 - Pre-Dissertator's Research (Summer 2023)
  • CBE 990 - Thesis-Research (Summer 2023)