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Philip Romero is an Associate Professor in the Department of Biomedical Engineering at Duke University, specializing in protein engineering, computational biology, and technology development. He obtained his Ph.D. from the California Institute of Technology in 2012. His research interests focus on the application of computational methods to elucidate protein function and enhance protein properties through engineering techniques. His pioneering work includes the development of biophysics-based protein language models and the use of neural networks to predict protein fitness landscapes. Additionally, he has contributed significantly to the field of microfluidics and has led research in droplet microfluidic screening to optimize angiotensin-converting enzyme 2 (ACE2) activity. Dr. Romero's publications reflect a robust engagement with interdisciplinary collaborations, employing machine learning and experimental biology to push the boundaries of our understanding of protein interactions and dynamics. He is passionate about mentoring students in research projects and fostering innovation in biomedical engineering.
Department of Biomedical Engineering (MS program)