Stanford University
Showing 11,061-11,080 of 36,203 Results
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Byron Gray
COLLEGE Lecturer
BioByron Gray is an anthropologist whose work centers on the intersection of politics, law, religion, and urban space in South Asia. His doctoral research examined the associational, legal, and ritual means that Catholics in Bombay, India have employed to advance spatial and property claims in the city since its transformation into “Mumbai” in the 1990s.
Prior to receiving his PhD, Byron earned a MPhil in Socio-Cultural Anthropology from the University of Oxford, and BA in Political Science, South Asian Studies, and Law, Societies, & Justice from the University of Washington. -
Dyneisha Gray
Hit Program Administrator, Office of Technology Licensing (OTL)
Staff, Stanford Office of Technology LicensingBioDyneisha holds a B.S. in Business Administration from California State University Bakersfield. Dyneisha brings administrative experience from her previous roles as an Executive Assistant and Operations Manager for Viva Superheroes where she coordinated company events and managed calendars.
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Jordan Gray
Director, Campus Engagement, Office of Community Engagement
Current Role at StanfordJordan is the Director of Campus Engagement and joined the Office of Community Engagement (OCE) in 2022 after Stanford Campus Engagement, where he previously served as the campus engagement program manager, merged with OCE to join External Relations.
As Director of Campus Engagement, Jordan leads efforts and works in collaboration with campus partners on projects, programs, and initiatives that promote and foster among the campus community (primarily staff, students, faculty, and post-docs) a sense and practice of connection to the mission of the university, the purpose of its activities, and the people who make up its community. -
Nathanael S. Gray
Krishnan-Shah Family Professor
BioNathanael Gray is the Krishnan-Shah Family Professor of Chemical and Systems Biology at Stanford, Co-Director of Cancer Drug Discovery Co-Leader of the Cancer Therapeutics Research Program, Member of Chem-H, and Program Leader for Small Molecule Drug Discovery for the Innovative Medicines Accelerator (IMA). His research utilizes the tools of synthetic chemistry, protein biochemistry, and cancer biology to discover and validate new strategies for the inhibition of anti-cancer targets. Dr. Gray’s research has had broad impact in the areas of kinase inhibitor design and in circumventing drug resistance.
Dr. Gray received his PhD in organic chemistry from the University of California at Berkeley in 1999 after receiving his BS degree with the highest honor award from the same institution in 1995. After completing his PhD, Dr. Gray was recruited to the newly established Genomics Institute of the Novartis Research Foundation (GNF) in San Diego, California. During his six year stay at GNF, Dr. Gray became the director of biological chemistry where he supervised a group of over fifty researchers integrating chemical, biological and pharmacological approaches towards the development of new experimental drugs. Some of the notable accomplishments of Dr. Gray’s team at GNF include: discovery of the first allosteric inhibitors of wild-type and mutant forms of BCR-ABL which resulted in clinical development of ABL001; discovery of the first selective inhibitors of the Anaplastic Lymphoma Kinase (ALK), an achievement that led to the development of now FDA-approved drugs such as ceritinib (LDK378) for the treatment of EML4-ALK expressing non-small cell lung cancer (NSCLC); and discovery that sphingosine-1-phosphate receptor-1 (S1P1) is the pharmacologically relevant target of the immunosuppressant drug Fingomilod (FTY720) followed by the development of Siponimod (BAF312), which is currently used for the treatment of multiple sclerosis.
In 2006, Dr. Gray returned to academia as a faculty member at the Dana Farber Cancer Institute and Harvard Medical School in Boston. There, he has established a discovery chemistry group that focuses on developing first-in-class inhibitors for newly emerging biological targets, including resistant alleles of existing targets, as well as inhibitors of well-validated targets, such as Her3 and RAS, that have previously been considered recalcitrant to small molecule drug development. Dr. Gray’s team developed covalent inhibitors of the T790M mutant of EGFR inspired the development of Osimertinib (AZD9291), now FDA approved for treatment of patients with relapsed lung cancer due to resistance to first generation EGFR inhibitors. Dr. Gray has also developed structure-based, generalized approaches for designing drugs to overcome one of the most common mechanisms of resistance observed against most kinase inhibitor drugs, mutation of the so-called "gatekeeper" residue, which has been observed in resistance to drugs targeting BCR-ABL, c-KIT and PDGFR.
In 2021, Dr. Gray joined Stanford University where he has joined the Stanford Cancer Institute, Chem-H and the Innovative Medicines Accelerator (IMA) to spur the development of prototype drugs.
These contributions have been recognized through numerous awards including the National Science Foundation’s Career award in 2007, the Damon Runyon Foundation Innovator award in 2008, the American Association for Cancer Research for Team Science in 2010 and for Outstanding Achievement in 2011 and the American Chemical Society award for Biological Chemistry in 2011, and the Nancy Lurie Marks endowed professorship in 2015 and the Paul Marks Prize in 2019, and the Hope Funds for Cancer Research in 2023. -
Robert M Gray
Alcatel-Lucent Professor in Communications and Networking, Emeritus
Current Research and Scholarly InterestsMy current research falls in the intersection of Shannon information theory and signal processing. In particular, I am interested in the theory and design of block codes and sliding-block (or stationary or time-invariant) codes for data compression and their relation to each other. Block codes are far better understood and more widely used, but their lack of stationarity causes difficulties in theory and artifacts in practice. Very little is known about the design of good sliding-block codes, but the problem is known to be equivalent to the design of entropy-constrained simulators of complex random processes. I also do research in the history of information theory and signal processing, especially in the development of speech processing systems and real time signal processing.
