School of Humanities and Sciences


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  • Justin Du Bois

    Justin Du Bois

    Henry Dreyfus Professor of Chemistry and Professor, by courtesy, of Chemical and Systems Biology

    BioResearch and Scholarship

    Research in the Du Bois laboratory spans reaction methods development, natural product synthesis, and chemical biology, and draws on expertise in molecular design, molecular recognition, and physical organic chemistry. An outstanding goal of our program has been to develop C–H bond functionalization processes as general methods for organic chemistry, and to demonstrate how such tools can impact the logic of chemical synthesis. A second area of interest focuses on the role of ion channels in electrical conduction and the specific involvement of channel subtypes in the sensation of pain. This work is enabled in part through the advent of small molecule modulators of channel function.

    The Du Bois group has described new tactics for the selective conversion of saturated C–H to C–N and C–O bonds. These methods have general utility in synthesis, making possible the single-step incorporation of nitrogen and oxygen functional groups and thus simplifying the process of assembling complex molecules. To date, lab members have employed these versatile oxidation technologies to prepare natural products that include manzacidin A and C, agelastatin, tetrodotoxin, and saxitoxin. Detailed mechanistic studies of metal-catalyzed C–H functionalization reactions are performed in parallel with process development and chemical synthesis. These efforts ultimately give way to advances in catalyst design. A long-standing goal of this program is to identify robust catalyst systems that afford absolute control of reaction selectivity.

    In a second program area, the Du Bois group is exploring voltage-gated ion channel structure and function using the tools of chemistry in combination with those of molecular biology, electrophysiology, microscopy and mass spectrometry. Much of this work has focused on studies of eukaryotic Na and Cl ion channels. The Du Bois lab is interested in understanding the biochemical mechanisms that underlie channel subtype regulation and how such processes may be altered following nerve injury. Small molecule toxins serve as lead compounds for the design of isoform-selective channel modulators, affinity reagents, and fluorescence imaging probes. Access to toxins and modified forms thereof (including saxitoxin, gonyautoxin, batrachotoxin, and veratridine) through de novo synthesis drives studies to elucidate toxin-receptor interactions and to develop new pharmacologic tools to study ion channel function in primary cells and murine pain models.

  • John Duchi

    John Duchi

    Associate Professor of Statistics, of Electrical Engineering and, by courtesy, of Computer Science

    Current Research and Scholarly InterestsMy work spans statistical learning, optimization, information theory, and computation, with a few driving goals: 1. To discover statistical learning procedures that optimally trade between real-world resources while maintaining statistical efficiency. 2. To build efficient large-scale optimization methods that move beyond bespoke solutions to methods that robustly work. 3. To develop tools to assess and guarantee the validity of---and confidence we should have in---machine-learned systems.

  • Jeff Dukes

    Jeff Dukes

    Professor (By Courtesy), Biology

    BioJeff Dukes is a senior staff scientist in the Department of Global Ecology at the Carnegie Institution for Science, and a Professor (by courtesy) in the Departments of Biology and Earth System Science at Stanford University. Dr. Dukes’s research examines how plants and ecosystems respond to a changing environment, focusing on topics from invasive species to climate change. Much of his experimental work seeks to inform and improve climate models. Dr. Dukes received a Ph.D from Stanford University and a bachelor’s degree from Brown University, both in Biological Sciences. He has been elected a Fellow and named a Public Engagement Fellow of the American Association for the Advancement of Science, and he is a Fellow of the Ecological Society of America. Before coming to Stanford and Carnegie, he was a professor at Purdue University, where he held the Belcher Chair for Environmental Sustainability in the College of Agriculture and directed the Purdue Climate Change Research Center.

  • Bradley Efron

    Bradley Efron

    Max H. Stein Professor and Professor of Statistics and of Biomedical Data Science, Emeritus

    Current Research and Scholarly InterestsResearch Interests:
    BOOTSTRAP
    BIOSTATISTICS
    BAYESIAN STATISTICS

  • Paul Ehrlich

    Paul Ehrlich

    Bing Professor of Population Studies, Emeritus

    Current Research and Scholarly InterestsThe role of the social sciences in dealing with global change

  • Barbara Elizabeth Engelhardt

    Barbara Elizabeth Engelhardt

    Professor (Research) of Biomedical Data Science and, by courtesy, of Statistics and of Computer Science

    BioBarbara E Engelhardt is a Senior Investigator at Gladstone Institutes and Professor at Stanford University in the Department of Biomedical Data Science. She received her B.S. (Symbolic Systems) and M.S. (Computer Science) from Stanford University and her PhD from UC Berkeley (EECS) advised my Prof. Michael I Jordan. She was a postdoctoral fellow with Prof. Matthew Stephens at the University of Chicago. She was an Assistant Professor at Duke University from 2011-2014, and an Assistant, Associate, and then Full Professor at Princeton University in Computer Science from 2014-2022. She has worked at Jet Propulsion Labs, Google Research, 23andMe, and Genomics plc. In her career, she received an NSF GRFP, the Google Anita Borg Scholarship, the SMBE Walter M. Fitch Prize (2004), a Sloan Faculty Fellowship, an NSF CAREER, and the ISCB Overton Prize (2021). Her research is focused on developing and applying models for structured biomedical data that capture patterns in the data, predict results of interventions to the system, assist with decision-making support, and prioritize experiments for design and engineering of biological systems.