Stanford University


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  • Trithep Devakul

    Trithep Devakul

    Assistant Professor of Physics

    BioI specialize in theoretical condensed matter physics. My research focuses on emergent quantum phases of matter, particularly those arising from the interplay of topology with electronic interactions and correlations in two-dimensional materials.

  • Thomas Devereaux

    Thomas Devereaux

    Professor of Photon Science, of Materials Science and Engineering and Senior Fellow at the Precourt Institute for Energy

    Current Research and Scholarly InterestsMy main research interests lie in the areas of theoretical condensed matter physics and computational physics. My research effort focuses on using the tools of computational physics to understand quantum materials. Fortunately, we are poised in an excellent position as the speed and cost of computers have allowed us to tackle heretofore unaddressed problems involving interacting systems. The goal of my research is to understand electron dynamics via a combination of analytical theory and numerical simulations to provide insight into materials of relevance to energy science. My group carries out numerical simulations on SIMES’ high-performance supercomputer and US and Canadian computational facilities. The specific focus of my group is the development of numerical methods and theories of photon-based spectroscopies of strongly correlated materials.

  • Ben Deverett

    Ben Deverett

    Clinical Assistant Professor, Anesthesiology, Perioperative and Pain Medicine
    Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine

    BioDr. Ben Deverett, MD, PhD, is an anesthesiologist and researcher with a focus in machine learning, consciousness science, and global health.

  • Renumathy Dhanasekaran

    Renumathy Dhanasekaran

    Assistant Professor of Medicine (Gastroenterology)

    Current Research and Scholarly InterestsThe overall goal of my research is to understand the molecular pathogenesis of liver cancer and identify biologically relevant prognostic biomarkers and molecular targets for therapy in patients with hepatocellular carcinoma (HCC). My long-term objective is to improve the clinical outcome of patients with liver cancer.

  • Mehak Dhande, MD, MS

    Mehak Dhande, MD, MS

    Clinical Assistant Professor, Medicine - Cardiovascular Medicine

    BioDr. Mehak Dhande is a cardiac electrophysiologist with a master’s degree in clinical informatics and management from Stanford University. After internal medicine and cardiology training at Tufts Medical Center in Boston, she completed cardiac electrophysiology training at University of Pittsburgh Medical Center. She is a physician scientist, clinician and educator, with research interest in patient-facing applications of AI and scalable healthcare delivery models. In practice, she combines her knowledge of cardiology, EP and healthcare technology with that of health system strategies and operations, to deliver the highest quality of care to her patients.

  • Shazia Dharssi, MD

    Shazia Dharssi, MD

    Clinical Assistant Professor, Ophthalmology

    BioDr. Shazia Dharssi is a board-certified ophthalmologist and fellowship-trained oculoplastic and reconstructive surgeon with Stanford Health Care. She is also a clinical assistant professor in the Department of Ophthalmology, Division of Ophthalmic Plastic and Reconstructive Surgery at Stanford University School of Medicine.

    Dr. Dharssi specializes in diagnosing and treating conditions that affect the eyelid and surrounding structures of the orbit. She specializes in advanced oculoplastic and reconstructive surgery, including both functional and cosmetic eyelid surgery, tear duct surgery, and orbital surgeries. Her expertise also includes diagnosing and treating facial nerve palsy, ptosis, thyroid eye disease, ocular cancers, and skin cancer that affects the eyes. Dr. Dharssi is dedicated to providing personalized, high-quality care to achieve the best possible outcomes for her patients.

    Dr. Dharssi’s research focuses on applying deep learning and related computational tools to improve the diagnosis and treatment of ocular diseases, including age-related macular degeneration. She is particularly interested in developing technologies that enhance precision, efficiency, and patient outcomes in ophthalmic care. Her long-term goal is to integrate these innovations into the field of oculoplastic surgery to advance both functional and reconstructive outcomes.

    Dr. Dharssi has published her research in peer-reviewed journals, such as Ophthalmic Epidemiology, Ophthalmic Plastic & Reconstructive Surgery, Journal of Academic Ophthalmology, and Ophthalmology. She has presented to her peers at international and national meetings, including the American Academy of Ophthalmology (AAO), the American Society of Ophthalmic Plastic and Reconstructive Surgery (ASOPRS), the Association for Research in Vision and Ophthalmology (ARVO), and Women in Ophthalmology (WIO).

    Dr. Dharssi is a candidate member of ASOPRS and a member of AAO, ARVO, and WIO.