Robert D. Tilton is the Chevron Professor of Chemical Engineering and holds a joint appointment in Biomedical Engineering at Carnegie Mellon University's College of Engineering. He directs the Center for Complex Fluids Engineering. His research focuses on colloidal phenomena in biomedical and environmental systems, including surfactant-based drug delivery and nanoparticle interactions. Education: B.Ch.E., University of Delaware, 1986 M.S. & Ph.D., Chemical Engineering, Stanford University (1987 & 1991) Research Interests: Nanoparticle-cell interactions Pulmonary drug delivery systems Environmental impacts of nanotechnology Surfactant dynamics and Marangoni flows Awards: Fellow of the American Chemical Society Fellow of the American Institute for Medical and Biological Engineering NSF Career Award Victor K. LaMer Award (1993) Grants & Leadership: NIH Nanotechnology Study Section member ACS Division of Colloid and Surface Chemistry leadership roles Labs & Teams: Active research group includes postdocs and graduate students investigating complex fluid interfaces, aerosol carriers, and nanoparticle applications in agriculture and medicine.
Rebecca Taylor is a Professor in the Department of Mechanical Engineering at Carnegie Mellon University's College of Engineering, with courtesy appointments in Biomedical Engineering and Electrical and Computer Engineering. Her research spans DNA nanotechnology, advanced manufacturing, and bio-inspired micro/nanosystems, focusing on integrating self-assembly with top-down microfabrication. 2013 Ph.D. in Mechanical Engineering (minor in Bioengineering), Stanford University 2010 MS in Mechanical Engineering, Stanford University 2001 BS in Mechanical Engineering with Robotics Certificate, Princeton University Her research centers on: (1) DNA nanotechnology for molecular and cellular mechanobiology (AFOSR YIP, NIH R21), (2) bio-inspired materials using gammaPNA (NSF CAREER), and (3) biomanufacturing with DNA robotics. She also develops workforce training tools like voice assistants for skill mastery. Recent publications highlight DNA microswimmers, compliance in colloidal assemblies, and generative design for origami nanostructures. Awards include the NSF CAREER Award and Ansys Career Development Chair. She advises interdisciplinary students and leads the Microsystems and Mechanobiology Lab, collaborating with Biomedical Engineering, Chemistry, and Cardiovascular Medicine teams. NSF CAREER Award Ansys Career Development Chair Lab members include postdocs (Grace Rohaley, Sarah Weintraub), Ph.D. students (Taryn Imamura, Vismaya Walawalkar), and undergraduates (Irene Yap). She teaches courses like Nanoscale Manufacturing Using Structural DNA Nanotechnology and Modern Manufacturing in Steeltown , emphasizing design and automation.
Francis Ogoke is an incoming Assistant Professor in the Department of Mechanical Engineering at Carnegie Mellon University, set to begin in Fall 2025. He is currently a postdoctoral associate at the Massachusetts Institute of Technology. His academic journey includes a Ph.D. in Mechanical Engineering from Carnegie Mellon University (2024) and a B.S.E. in Chemical and Biological Engineering from Princeton University (2019). His research lies at the intersection of artificial intelligence and engineering systems, with a focus on developing foundational AI methods for complex engineering problems. Key areas include: Physics-informed deep learning Uncertainty quantification and probabilistic modeling Representation learning for generalization Applications in additive manufacturing, digital twins, and cyber-physical systems The recent articles reflect a strong trend in leveraging deep learning—especially vision transformers, generative models, and reinforcement learning—for accelerating simulations, enhancing in-situ monitoring, and improving control in additive manufacturing. His work consistently bridges AI innovation with real-world engineering challenges, particularly in metal 3D printing and multiphysics modeling. Notable scientific awards include: Presidential Fellowship in the College of Engineering, Carnegie Mellon University G.E.M. Fellowship Francis Ogoke advises emerging researchers and is expected to lead a research group focused on AI-driven engineering systems. His lab will likely focus on developing intelligent frameworks for digital twins and autonomous manufacturing. He has not yet advised any students as per current records. He is actively involved in pioneering research that integrates AI into core engineering workflows, supported by advanced computational and experimental infrastructure. He is affiliated with the College of Engineering at Carnegie Mellon University and conducts research relevant to advanced manufacturing, sensing technologies, and intelligent systems.
Dr. Satbir Singh is a Teaching Professor in the Department of Mechanical Engineering at Carnegie Mellon University , where he has taught since 2012. Previously, he worked as a Research Staff Member at CMU (2010-2012) and a Senior Researcher at General Motors (2006-2010). Education Ph.D., Mechanical Engineering, University of Wisconsin (2006) M.S., Mechanical Engineering, University of Alabama (2002) B.S., Mechanical Engineering, Punjab Technical University (2000) His research focuses on computational modeling of turbulent reacting flows in complex geometries, with applications to energy conversion technologies and environmental impact analysis. Key areas include Large Eddy Simulation (LES) , multi-phase flow dynamics , and pollutant dispersion modeling . Recent research trends involve predictive simulations for natural gas engine efficiency, aerosol dynamics in dilution samplers, and advanced CFD techniques for additive manufacturing processes. His work bridges numerical methods with real-world applications in combustion, environmental engineering, and thermal systems. Awards and honors include: Carnegie Bosch Institute Funding (2018) Dean’s Early Career Fellow (2018) He actively advises PhD students and leads the CMU Racing Team in educational outreach initiatives. His publications span topics from engine design to atmospheric particle studies, with over 20 peer-reviewed articles since 2003.
Gerald J. Wang is an Assistant Professor in the Civil and Environmental Engineering Department at Carnegie Mellon University's College of Engineering. He leads the M5 Lab (Mechanics of Materials via Molecular and Multiscale Methods) where his research focuses on nanoscale structural and transport phenomena using mechanics, statistical physics, and high-performance computing. Wang earned his Ph.D. in Mechanical Engineering and Computation from MIT in 2019, following an S.M. in Mechanical Engineering (2015) and B.S. in Mechanical Engineering, Mathematics & Physics from Yale University (2013). Prior to joining CMU in Fall 2019, he completed a postdoctoral position at MIT's Department of Chemical Engineering and was a U.S. Department of Energy Computational Science Graduate Fellow from 2014-2018. His research spans nanoscale mechanics, non-equilibrium statistical physics, and materials for the water-energy nexus. Wang's interdisciplinary work combines computational modeling with experimental validation to address challenges in energy, environment, and sustainability. His research portfolio includes nanophotonics, metamaterials, fluid mechanics at non-infinitesimal Reynolds numbers, and cell biology applications. Wang's scholarly output demonstrates a progression from fundamental nanofluidic phenomena to broader applications in environmental sustainability and materials science. His early work focused on theoretical aspects of fluid behavior under nanoconfinement, while more recent publications address practical applications in energy-water nexus challenges, sustainable polymers, and environmental monitoring technologies. DOE Computational Science Graduate Fellow (2014-2018) CMU Teaching Innovation Award (2024) for "Participation Shoutouts!" activity ASCE Civil Engineering Education New Faculty Excellence in Teaching Award Wimmer Faculty Fellow at Eberly Center for Teaching Excellence and Educational Innovation Wang mentors a diverse group of graduate and undergraduate students across mechanical engineering, chemical engineering, and civil engineering disciplines. His M5 Lab conducts research on nanoscale transport phenomena, liquid crystals, sustainable polymers, and urban physics. The lab has received funding from the Scott Institute for Energy Innovation and other sources supporting computational research in energy and environmental applications.
