The goal of Lu Group’s research is to model and simulate physical and biological systems at different scales by integrating modeling, simulation, and machine learning, and to provide strategies for system learning, prediction, optimization, and decision making in real time. Our current research interest lies in scientific machine learning, including theory, algorithms, and software, and its applications to engineering, physical, and biological problems. Our broad research interests focus on multiscale modeling and high performance computing for physical and biological systems.

PhD, Masters, & Undergraduate Students and Postdoc Opening: We are looking for PhD, Masters, and undergraduate students and Postdocs to work on scientific machine learning. Students in chemical engineering, mechanical engineering, applied mathematics, applied physics, or related majors with proficient coding skills are welcome to apply. Please feel free to contact me with CV (and/or transcripts, sample publications) attached if you are interested. For more information, please check the PhD programs in Chemical and Biomolecular Engineering and Applied Mathematics and Computational Science.

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