Jacob Monroe

Jacob Monroe is an Assistant Professor at the University of Arkansas in the Ralph E. Martin Department of Chemical Engineering. He earned his B.S. from the University of Virginia (2014) and Ph.D. from the University of California, Santa Barbara (2019), followed by an NRC Postdoctoral Fellowship at NIST. His research integrates machine learning with statistical mechanics to enable predictive molecular simulations of biomaterials.

• Education: B.S. (2014) and Ph.D. (2019) in Chemical Engineering

Research Interests focus on:

• VAE-based multiscale simulation techniques
• Advanced solvation free energy calculations
• Computational design of membrane and chromatographic interfaces
• Protein self-assembly and water-mediated interactions

Publication Trends demonstrate expertise in merging machine learning with molecular simulation to address thermodynamic challenges in biomaterial systems. His work spans applications in renewable energy, pharmaceutical formulation, and eco-friendly electronics.

Scientific Awards:

• DOE Early Career Award (2023)
• NRC Postdoctoral Fellowship (2019)
• NSF Graduate Research Fellowship (2015)
• AICHE COMSEF Graduate Student Award (2017)

Laboratory: Leads the Monroe Molecular Simulation Group, which specializes in developing machine learning methods grounded in statistical mechanics for biomolecular modeling. Recent projects include salt aggregation analysis in water-purification membranes and protein-interface binding energy predictions.