Beibei Gao is a highly skilled researcher with extensive experience in chemical engineering and petroleum engineering. Beibei began as an Undergraduate Research Assistant at Curtin University, where data collection and MATLAB coding for X-ray Micro-computed Tomography images were involved. Subsequent roles included Research Assistant at China University of Petroleum, focusing on bacterial transport and a patented microfluidic design, and at the University of Virginia, leading microfluidic projects and mentoring students in machine learning. Beibei transitioned to a Postdoctoral Researcher at the University of Pennsylvania School of Dental Medicine, driving initiatives in surface chemistry and biofilm metabolism modeling. Currently, Beibei serves as a Postdoctoral Scientist at Johnson & Johnson, implementing advanced manufacturing technologies for biopharmaceuticals. The academic background includes a PhD from the University of Virginia and a Bachelor's degree from China University of Petroleum.
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