Stanford University
Showing 1-9 of 9 Results
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Yuqin Dai
Director of Metabolomics
BioDr. Yuqin Dai is the Director of Metabolomics at Stanford ChEM-H. In this role, she collaborates with faculty in the development and execution of experiments aimed at measuring small molecule drug candidates, endogenous and exogenous metabolites in a variety of biomedical R&D contexts. In addition, she provides strategic vision, mentorship, and leadership in the development of new LC/MS analytical methodologies for metabolomics research, the Metabolomics Knowledge Center’s daily operation and growth.
Dr. Dai came to ChEM-H with 20 years of research, marketing and managerial experiences across biotech/pharma and analytical instrument industries. Prior to joining ChEM-H in January of 2020, Dr. Dai worked at Agilent managing strategic collaborations with key opinion leaders in academia and industry for metabolomics research, driving new application marketing opportunities, and developing differential solutions to support new LC/MS and automation product introductions. Before Agilent, Dr. Dai led bioanalytical R&D teams and managed DMPK projects to support drug discovery and development programs at three biotech/pharm companies. She was also extensively involved in new technology assessment and implementation. Dr. Dai received her Ph.D. in analytical chemistry from the University of Alberta, Canada, where her research focused on the LC/MS and MALDI/MS instrumentation and method development for proteomics and small molecule applications. -
Jean Dam
Research Scientist, Medicinal Chemistry, Innovative Medicines Accelerator (IMA)
Current Role at StanfordResearch Scientist at the MCKC
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Laura M.K. Dassama
Assistant Professor of Chemistry and of Microbiology and Immunology
BioLaura Dassama is a chemical biologist who uses principles from chemistry and physics to understand complex biological phenomena. Her group’s primary goal is to use detailed understanding of the factors that enable interactions between biological molecules to provide insights that allow functional control of those molecules. Her research projects aim to 1) discover the drivers of biomolecular interactions and 2) leverage that information to modulate disease relevant proteins.
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Joseph M. DeSimone
Sanjiv Sam Gambhir Professor of Translational Medicine, Professor of Chemical Engineering and, by courtesy, of Chemistry, of Materials Science and Engineering, and of Operations, Information and Technology at the Graduate School of Business
BioJoseph M. DeSimone is the Sanjiv Sam Gambhir Professor of Translational Medicine and Chemical Engineering at Stanford University. He holds appointments in the Departments of Radiology and Chemical Engineering with courtesy appointments in the Department of Chemistry and in Stanford’s Graduate School of Business.
The DeSimone laboratory's research efforts are focused on developing innovative, interdisciplinary solutions to complex problems centered around advanced polymer 3D fabrication methods. In Chemical Engineering and Materials Science, the lab is pursuing new capabilities in digital 3D printing, as well as the synthesis of new polymers for use in advanced additive technologies. In Translational Medicine, research is focused on exploiting 3D digital fabrication tools to engineer new vaccine platforms, enhanced drug delivery approaches, and improved medical devices for numerous conditions, with a current major focus in pediatrics. Complementing these research areas, the DeSimone group has a third focus in Entrepreneurship, Digital Transformation, and Manufacturing.
Before joining Stanford in 2020, DeSimone was a professor of chemistry at the University of North Carolina at Chapel Hill and of chemical engineering at North Carolina State University. He is also Co-founder, Board Chair, and former CEO (2014 - 2019) of the additive manufacturing company, Carbon. DeSimone is responsible for numerous breakthroughs in his career in areas including green chemistry, medical devices, nanomedicine, and 3D printing. He has published over 350 scientific articles and is a named inventor on over 200 issued patents. Additionally, he has mentored 80 students through Ph.D. completion in his career, half of whom are women and members of underrepresented groups in STEM.
In 2016 DeSimone was recognized by President Barack Obama with the National Medal of Technology and Innovation, the highest U.S. honor for achievement and leadership in advancing technological progress. He has received numerous other major awards in his career, including the U.S. Presidential Green Chemistry Challenge Award (1997); the American Chemical Society Award for Creative Invention (2005); the Lemelson-MIT Prize (2008); the NIH Director’s Pioneer Award (2009); the AAAS Mentor Award (2010); the Heinz Award for Technology, the Economy and Employment (2017); the Wilhelm Exner Medal (2019); the EY Entrepreneur of the Year Award (2019 U.S. Overall National Winner); and the Harvey Prize in Science and Technology (2020). He is one of only 25 individuals elected to all three branches of the U.S. National Academies (Sciences, Medicine, Engineering). DeSimone received his B.S. in Chemistry in 1986 from Ursinus College and his Ph.D. in Chemistry in 1990 from Virginia Tech. -
Scott Dixon
Professor of Biology
Current Research and Scholarly InterestsMy lab is interested in the relationship between cell death and metabolism. Using techniques drawn from many disciplines my laboratory is investigating how perturbation of intracellular metabolic networks can result in novel forms of cell death, such as ferroptosis. We are interested in applying this knowledge to find new ways to treat diseases characterized by insufficient (e.g. cancer) or excessive (e.g. neurodegeneration) cell death.
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Ron Dror
Cheriton Family Professor and Professor, by courtesy, of Structural Biology and of Molecular & Cellular Physiology
Current Research and Scholarly InterestsMy lab’s research focuses on computational biology, with an emphasis on 3D molecular structure. We combine two approaches: (1) Bottom-up: given the basic physics governing atomic interactions, use simulations to predict molecular behavior; (2) Top-down: given experimental data, use machine learning to predict molecular structures and properties. We collaborate closely with experimentalists and apply our methods to the discovery of safer, more effective drugs.
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Alexander Dunn
Professor of Chemical Engineering
Current Research and Scholarly InterestsMy lab is deeply interested in uncovering the physical principles that underlie the construction of complex, multicellular animal life.
