Ulf D. Schiller holds M.S. degrees in Computer Science (2003) and Physics (2005) from the University of Bielefeld and received his Ph.D. (2005) in Physics from the Johannes Gutenberg University Mainz. He conducted his dissertation research at the Max Planck Institute for Polymer Research and subsequently held postdoctoral appointments at the University of Florida, Forschungszentrum Jülich, and University College London. Ulf joined the University of Delaware in 2023 as an Associate Professor with a joint appointment in Computer and Information Sciences and Materials Science and Engineering. Prior to joining UD, he was an Assistant Professor in the Department of Materials Science and Engineering at Clemson University, where he helped establish computational materials science as a new focus area. Ulf has broad expertise in developing multiscale simulation techniques and data-driven approaches that enable scientific discovery in materials science, soft matter physics, and computational biomedicine. He developed the fluctuating lattice Boltzmann algorithm and contributed implementations to several open-source packages including ESPResSo, LB3D, and HemeLB. His current research focuses on high-performance computing and machine learning for interfacial phenomena in complex fluid mixtures, multiphase transport in porous materials, and biomedical fluid dynamics in patient-specific geometries. His research group collaborates with experimental research groups and clinicians to develop integrated computational and data-driven approaches that support discovery and design of new materials with enhanced performance for energy, environmental, and health applications. Ulf is also an Affiliate Faculty in the UD Data Science Institute.
Postdoctoral Research Fellow
James Andrews received his BA degree (2013) in Mathematics from Hood College and received his Ph.D. (2021) in Computational Sciences and Informatics from George Mason University. His dissertation research was on atomic scale modeling and simulation of polymeric macromolecules including block-copolymers in multiphase solvent, bulk material, and as nanoparticle surface-solvent interfaces. His current research interests include mesoscale simulations of polymeric interfaces in complex solvents using molecular dynamics and lattice Boltzmann methods.
Nikhil received his BChE in Chemical Engineering from University of Minnesota Twin Cities in Minneapolis, Minnesota. His graduate research concerns mesoscale simulation of particle stabilized emulsions, specifically bijels, with a focus on their interactions with magnetic fields.
Gokul Raman Arumugam Kumar
Gokul joined the Schiller Research Group as a research intern during summer 2021. He received the B.Tech. degree in Chemical Engineering at IIT Gandhinaghar, India, in 2023 and joined the University of Delaware to pursue an M.S. in Materials Science and Engineering. His research concerns phase separation in ternary fluids and the formation of liquid lenses and double emulsions. Gokul's prior research experience includes projects on synthesis of TiB2 nanorods and numerical simulation of reactive distillation.