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Philip Romero is an Associate Professor in the Department of Biomedical Engineering at Duke University. He obtained his Ph.D. from the California Institute of Technology in 2012. His research primarily focuses on protein engineering, computational biology, and technology development. Romero's contributions to the field include various publications in high-impact journals, where he explores the intersections of biophysics, machine learning, and bioengineering. His work encompasses a wide range of topics, including the utilization of neural networks for protein sequence-function relationships and the analysis of protein fitness landscapes through innovative laboratory techniques. He is actively involved in advanced projects such as droplet microfluidic screening and the development of single-cell nucleic acid profiling methods. In addition to his research, he teaches multiple courses that reflect his expertise, guiding undergraduate and graduate students through the applications of engineering in biological contexts. His commitment to education and research positions him as a vital contributor in the fields of biomedical engineering and biotechnology.
Department of Biomedical Engineering (MS program)