T
Ilias Tagkopoulos
Research
Our lab’s interests span a variety of topics related to evolutionary, synthetic and systems biology. We employ machine learning, graph theory, mathematical optimization, multiscale modeling and HPC simulation methods to address questions in these fields. Computational predictions are experimentally tested in our microbiology lab, where we perform laboratory evolution of microbial cultures, and we construct novel synthetic gene circuits for biotechnological applications.
Yayoi Takamura
Research
The development of next generation spintronic devices, sensors, and low temperature solid oxide fuel cells requires the development of materials with new functional properties not found in conventional bulk materials. A novel route involves harnessing the unexpected physical phenomena that result from the changes in structure and chemistry which occur over nanometer scales at surfaces and interfaces.
Cheemeng Tan
Research
Cheemeng received his B.Eng. degree (first class honors) from National University of Singapore and his M.S. degree in High Performance Computing from Singapore-MIT Alliance. In 2005, he started his doctoral research in the Department of Biomedical Engineering at Duke University., where he evolved into a hybrid computational and microbial biologist. His Ph.D. thesis focused on implications of bacterial growth on antibiotic treatment and synthetic gene circuits.
Aditya Thakur
Spyros Tseregounis
Research
Surface modifications and coatings to reduce friction, wear, and fretting of engineering components. Surface Characterization and Analysis for MEMS. Exploring research directions and opportunities with an emphasis on creating, maintaining, and enhancing Corporate/University partnerships, joint projects, and technology exchange programs.
