Dr. Garry Nolan

I am the Rachford and Carlota A. Harris Professor in the Department of Pathology at Stanford University School of Medicine. I trained with Leonard Herzenberg (for my Ph.D.) and Nobelist Dr. David Baltimore (for postdoctoral work for the first cloning/characterization of NF-kB p65/RelA and the development of 293T rapid retroviral production systems). I have published 307 peer-reviewed research papers, hold 40 US patents, and have been honored as one of the top 25 inventors at Stanford University.I am well known for my ability to bring novel technologies to commercial fruition. My contributions to the implementation of mass cytometry (CyTOF) and its use for immuno-oncology research are a case in point, winning Nature’s “Outstanding Research Achievement” for 2011. My current research is focused on the development of multiparameter, single-cell tissue imaging technologies and computational approaches for systems immuno-oncology. Two recent innovations from my lab include multiplexed ion beam imaging (MIBI) and CO-Detection by indEXing (CODEX), which allow for simultaneous spatial quantification of 50+ parameters in a single tissue section. Another focus of my lab is the development and utilization of machine learning algorithms to interpret the large, high-dimensional datasets produced by CyTOF, multiplexed ion beam imaging (MIBI), and CODEX. Collectively, our efforts are to provide a deeper understanding of normal and impaired immune function - including detailed substructures of the immune system as it relates to various cancerous states - to enable wholly new understandings that lead to improved clinical outcomes. Additionally, I am dedicated to teaching and mentoring. I am currently mentoring 9 postdoctoral fellows and 5 graduate students, and I have taught multiple courses at Stanford and through NIH-sponsored programs. I have assisted students and colleagues in commercializing technologies via eight companies with a sum estimated present market capitalization of $800 million. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

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