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Guolan is an Assistant Professor in the Department of Urology at Stanford University School of Medicine. She is a biomedical engineer cross-trained in machine learning, biomedical imaging, and spatial omics in the context of cancer biology, immunology, and pharmacology. She completed her postdoctoral training in the laboratories of Dr. Garry Nolan, PhD and Dr. Eben Rosenthal, MD, at Stanford University, where she designed and led a first-in-human clinical study for fluorescence-guided surgery in pancreatic cancer, and pioneered a single-cell spatial pharmacology approach to decode drug-target-microenvironment interactions in situ in clinical tumors. She received her Ph.D. from the joint Biomedical Engineering Department of Georgia Tech and Emory University (advisor: Dr. Baowei Fei, PhD), where she received interdisciplinary training in medical imaging, machine learning, and digital pathology.
We are currently recruiting for positions at multiple levels, including motivated postdocs, graduate students, medical students/residents/fellows, and undergraduates. Such experience and opportunities can be focused on:
1. Generative AI, machine learning, image analysis, computational biology, biomedical engineering, electrical engineering, computer science, bioinformatics, mathematics, statistics, topology, algorithm design, and programming;
2. Cancer biology, immunology, pharmacology, genetics, molecular and cell biology, oncology;
3. Molecular imaging, biomedical optics, volumetric imaging, light-sheet microscope, and tissue clearing.
To apply, please send a cover letter (describing your research experience, accomplishments, interests, and goals), CV, and name and contact info of three references to Guolan at guolanlu@stanford.edu.
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