Vice Provost and Dean of Research


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  • Theodore Roth

    Theodore Roth

    Assistant Professor of Pathology

    Current Research and Scholarly InterestsThe Roth Lab develops, applies, and translates scalable genetic manipulation technologies in primary human cells and complex in vivo tissue environments. Working with students, trainees, and staff with backgrounds across bioengineering, genetics, immunology, oncology, and pathology, the lab has developed CRISPR-All, a unified genetic perturbation language able to arbitrarily and combinatorially examine genetic perturbations across perturbation type and scale in primary human cells. Ongoing applications of CRISPR-All in the lab have revealed surprising capacities to synthetically engineer human cells beyond evolved cellular states. These new capacities to perturb human cell’s genetics beyond their evolved functionality drives ongoing work to understand the biology and therapeutic potential of synthetic cell state engineering - in essence learning how to build new human genes tailor made for a specific cell and specific environment to drive previously inaccessible therapeutic cellular functions.

  • Grant M. Rotskoff

    Grant M. Rotskoff

    Assistant Professor of Chemistry

    BioGrant Rotskoff studies the nonequilibrium dynamics of living matter with a particular focus on self-organization from the molecular to the cellular scale. His work involves developing theoretical and computational tools that can probe and predict the properties of physical systems driven away from equilibrium. Recently, he has focused on characterizing and designing physically accurate machine learning techniques for biophysical modeling. Prior to his current position, Grant was a James S. McDonnell Fellow working at the Courant Institute of Mathematical Sciences at New York University. He completed his Ph.D. at the University of California, Berkeley in the Biophysics graduate group supported by an NSF Graduate Research Fellowship. His thesis, which was advised by Phillip Geissler and Gavin Crooks, developed theoretical tools for understanding nonequilibrium control of the small, fluctuating systems, such as those encountered in molecular biophysics. He also worked on coarsegrained models of the hydrophobic effect and self-assembly. Grant received an S.B. in Mathematics from the University of Chicago, where he became interested in biophysics as an undergraduate while working on free energy methods for large-scale molecular dynamics simulations.

    Research Summary

    My research focuses on theoretical and computational approaches to "mesoscale" biophysics. Many of the cellular phenomena that we consider the hallmarks of living systems occur at the scale of hundreds or thousands of proteins. Processes like the self-assembly of organelle-sized structures, the dynamics of cell division, and the transduction of signals from the environment to the machinery of the cell are not macroscopic phenomena—they are the result of a fluctuating, nonequilibrium dynamics. Experimentally probing mesoscale systems remains extremely difficult, though it is continuing to benefit from advances in cryo-electron microscopy and super-resolution imaging, among many other techniques. Predictive and explanatory models that resolve the essential physics at these intermediate scales have the power to both aid and enrich the understanding we are presently deriving from these experimental developments.

    Major parts of my research include:

    1. Dynamics of mesoscale biophysical assembly and response.— Biophysical processes involve chemical gradients and time-dependent external signals. These inherently nonequilibrium stimuli drive supermolecular organization within the cell. We develop models of active assembly processes and protein-membrane interactions as a foundation for the broad goal of characterizing the properties of nonequilibrium biomaterials.

    2. Machine learning and dimensionality reduction for physical models.— Machine learning techniques are rapidly becoming a central statistical tool in all domains of scientific research. We apply machine learning techniques to sampling problems that arise in computational chemistry and develop approaches for systematically coarse-graining physical models. Recently, we have also been exploring reinforcement learning in the context of nonequilibrium control problems.

    3. Methods for nonequilibrium simulation, optimization, and control.— We lack well-established theoretical frameworks for describing nonequilibrium states, even seemingly simple situations in which there are chemical or thermal gradients. Additionally, there are limited tools for predicting the response of nonequilibrium systems to external perturbations, even when the perturbations are small. Both of these problems pose key technical challenges for a theory of active biomaterials. We work on optimal control, nonequilibrium statistical mechanics, and simulation methodology, with a particular interest in developing techniques for importance sampling configurations from nonequilibrium ensembles.

  • Scott Rozelle

    Scott Rozelle

    Helen C. Farnsworth Professor of International Agricultural Policy and Senior Fellow at the Stanford Institute for Economic Policy Research

    Current Research and Scholarly InterestsThemes related to China, especially agricultural policy, the emergence and evolution of markets and other economic institutions, and the economics of poverty and inequality.

  • Daniel Rubin

    Daniel Rubin

    Professor of Biomedical Data Science and of Radiology (Integrative Biomedical Imaging Informatics at Stanford), Emeritus

    Current Research and Scholarly InterestsMy research interest is imaging informatics--ways computers can work with images to leverage their rich information content and to help physicians use images to guide personalized care. Work in our lab thus lies at the intersection of biomedical informatics and imaging science.

  • Mirabela Rusu

    Mirabela Rusu

    Assistant Professor of Radiology (Integrative Biomedical Imaging Informatics) and, by courtesy, of Biomedical Data Science and of Urology

    Current Research and Scholarly InterestsDr. Mirabela Rusu focuses on developing analytic methods for biomedical data integration, with a particular interest in radiology-pathology fusion. Such integrative methods may be applied to create comprehensive multi-scale representations of biomedical processes and pathological conditions, thus enabling their in-depth characterization.

  • Florentine Rutaganira

    Florentine Rutaganira

    Assistant Professor of Biochemistry and of Developmental Biology

    Current Research and Scholarly InterestsWe use chemical tools to decipher the roles of key signaling networks in choanoflagellates, single-celled organisms that are the closest living relatives of animals. Choanoflagellates produce molecular signals essential for intercellular communication in animals and the presence of these molecules in choanoflagellates suggests that signaling components needed to communicate between cells is evolutionarily ancient. We aim to uncover new understanding of animal development, physiology and disease.

  • Brian Rutt

    Brian Rutt

    Professor of Radiology (Radiological Sciences Lab), Emeritus

    Current Research and Scholarly InterestsMy research interests center on MRI research, including high-field and high-resolution MRI technology development as well as applications of advanced MRI techniques to studying the brain, cardiovascular system and cancer.

  • Raya Saab

    Raya Saab

    Lindhard Family Professor of Pediatric Cancer Biology

    BioI am a pediatric oncologist, and I primarily treat children who are diagnosed with soft tissue sarcomas including rhabdomyosarcoma, and children diagnosed with the eye tumor retinoblastoma, as well as children with other solid tumors.
    I have two very different areas of primary research interest, both of which I pursue with passion. One focuses on global oncology, including clinical and research resource capacity building towards effective treatment and improving outcomes of children with cancer worldwide. I work with collaborators across the globe towards a common goal of improving access to diagnostic and clinical care, training of multidisciplinary teams, and building clinical resources and research capacity to develop context-informed approaches to improving cancer care and achieving better outcomes for children diagnosed with cancer irrespective of where they happen to live.
    My parallel research interest, which is the focus of my laboratory, is understanding oncogenic signaling in pediatric soft tissue sarcomas, in an effort to clarify the driving biology and determinants of metastatic disease, to uncover novel targets for more effective treatment. We use preclinical in vitro and in vivo models, including murine and human cell lines, and mouse models of cancer. We have recently uncovered a paracrine role for rhabdomyosarcoma-secreted exosomes in impacting biology of stromal cells. Rhabdomyosarcoma-derived exosomes carry specific miRNA cargo that imparts an invasive and migratory phenotype on normal recipient fibroblasts, and proteomic analysis revealed specific and unique pathways relevant to the two different molecular rhabdomyosarcoma subtypes that are driven by distinct oncogenic pathways. We identified that the driver oncogene in fusion-positive rhabdomyosarcoma, PAX3-FOXO1, modulates exosome cargo to promote invasion, migration, and angiogenic properties, and identified specific microRNA and protein cargo acting as effectors of PAX3-FOXO1 exosome-mediated signaling, including modulation of oxidative stress response and cell survival signaling. Our ongoing work is focused on interrogating specific paracrine signaling pathways and molecular mechanisms of metastatic disease progression in rhabdomyosarcoma, for potential therapeutic targeting.

  • Chiara Sabatti

    Chiara Sabatti

    Professor of Biomedical Data Science and of Statistics
    On Leave from 10/01/2025 To 03/27/2026

    Current Research and Scholarly InterestsStatistical models and reasoning are key to our understanding of the genetic basis of human traits. Modern high-throughput technology presents us with new opportunities and challenges. We develop statistical approaches for high dimensional data in the attempt of improving our understanding of the molecular basis of health related traits.

  • Amin Saberi

    Amin Saberi

    Professor of Management Science and Engineering and, by courtesy, of Computer Science

    BioAmin Saberi is Professor of Management Science and Engineering at Stanford University. He received his B.Sc. from Sharif University of Technology and his Ph.D. from Georgia Institute of Technology in Computer Science. His research interests include algorithms, design and analysis of social networks, and applications. He is a recipient of the Terman Fellowship, Alfred Sloan Fellowship and several best paper awards.
    Amin was the founding CEO and chairman of NovoEd Inc., a social learning environment designed in his research lab and used by universities such as Stanford as well as non-profit and for-profit institutions for offering courses to hundreds of thousands of learners around the world.

  • Debra Safer

    Debra Safer

    Professor of Psychiatry and Behavioral Sciences (General Psychiatry and Psychology-Adult)

    Current Research and Scholarly InterestsPrimary research interests include the nature and treatment of eating disorders
    (particularly bulimia nervosa and binge eating disorder), the development and treatment of obesity, and the development and treatment of problematic eating patterns in patients following bariatric surgery.

  • Marc R. Safran, MD

    Marc R. Safran, MD

    Professor of Orthopaedic Surgery
    On Leave from 03/02/2026 To 03/31/2026

    Current Research and Scholarly InterestsDr. Safran’s practice focuses on arthroscopic management of hip problems as well as articular cartilage regeneration, shoulder surgery and athletic shoulder and elbow problems. He is actively involved in research in these areas.

  • Scott D. Sagan

    Scott D. Sagan

    Caroline S. G. Munro Memorial Professor of Political Science and Senior Fellow at the Freeman Spogli Institute for International Studies

    Current Research and Scholarly InterestsJust War doctrine and the development of norms concerning the use of force; public attitudes in the U.S., U.K., France, and Israel about the use of nuclear weapons and non-combatant casualties; organizations and management of insider threats; the management of hazardous technology; security of nuclear materials, the proliferation of weapons of mass destruction and the Non-Proliferation Treaty.

  • Julien Sage

    Julien Sage

    Elaine and John Chambers Professor of Pediatric Cancer and Professor of Genetics

    Current Research and Scholarly InterestsWe investigate the mechanisms by which normal cells become tumor cells, and we combine genetics, genomics, and proteomics approaches to investigate the differences between the proliferative response in response to injury and the hyperproliferative phenotype of cancer cells and to identify novel therapeutic targets in cancer cells.

  • Manish Saggar

    Manish Saggar

    Associate Professor (Research) of Psychiatry and Behavioral Sciences (Interdisciplinary Brain Science Research)

    Current Research and Scholarly InterestsWe are a computational neuropsychiatry lab dedicated to developing computational methods to better understand brain’s overall dynamical organization in healthy and patient populations. We employ algorithms from a wide range of fields, including Applied Mathematics, Econometrics, Machine Learning, Biophysics, and Network Science.

  • Mehran Sahami

    Mehran Sahami

    Tencent Chair of the of the Computer Science Department, James and Ellenor Chesebrough Professor and Senior Fellow, by courtesy, at the Freeman Spogli Institute for International Studies

    BioMehran Sahami is Tencent Chair of the Computer Science Department and the James and Ellenor Chesebrough Professor in the School of Engineering. As a Professor (Teaching) in the Computer Science department, he is also a Bass Fellow in Undergraduate Education and previously served as the Associate Chair for Education in Computer Science. Prior to joining the Stanford faculty, he was a Senior Research Scientist at Google. His research interests include computer science education, artificial intelligence, and ethics. He served as co-chair of the ACM/IEEE-CS joint task force on Computer Science Curricula 2013, which created curricular guidelines for college programs in Computer Science at an international level. He has also served as chair of the ACM Education Board, an elected member of the ACM Council, and was appointed by California Governor Jerry Brown to the state's Computer Science Strategic Implementation Plan Advisory Panel.

  • Kathleen M. Sakamoto

    Kathleen M. Sakamoto

    Shelagh Galligan Professor in the School of Medicine

    Current Research and Scholarly InterestsMy research focuses on the molecular pathways that regulate normal and aberrant blood cell development, including acute leukemia and bone marrow failure syndromes. We are also studying novel drugs for treatment of cancer.

  • Shima Salehi

    Shima Salehi

    Assistant Professor (Research) of Education

    BioShima Salehi is a Research Assistant Professor at Stanford Graduate School of Education, and the director of IDEAL research lab, the research component of Stanford IDEAL initiative to promote inclusivity, diversity, equity and access in learning communities. Her research focuses on how to use different instructional practices to teach science and engineering more effectively and inclusively. For effective science and engineering education, Dr. Salehi has studied effective scientific problem-solving and developed empirical framework for main problem-solving practices to train students in. Based on these findings, she has designed instructional activities to provide students with explicit opportunities to learn these problem-solving practices. These activities have been implemented in different science and engineering courses. For Inclusive science and engineering, she examines different barriers for equity in STEM education and through what instructional and/or institutional changes they can be addressed. Her recent works focus on what are the underlying mechanisms for demographic performance gaps in STEM college education, and what instructional practices better serve students from different demographic backgrounds. Salehi holds a PhD in Learning Sciences and a PhD minor in Psychology from Stanford University, and received a B.Sc. degree in Electrical Engineering from Sharif University of Technology, Iran. She is the founder of KhanAcademyFarsi, a non-profit educational organization which has provided service to Farsi-speaking students, particularly in under-privileged areas.