Stanford University


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  • Pervez Sultan

    Pervez Sultan

    Professor of Anesthesiology, Perioperative and Pain Medicine

    BioDr. Pervez Sultan is a Professor of Obstetric Anesthesiology at Stanford University School of Medicine and an Honorary Professor at University College London in the department of Targeted Intervention. His research interests include defining, characterizing, measuring and improving postpartum recovery.

    He has authored over 140 peer reviewed publications and presented the Ostheimer Lecture at the 2023 Society for Obstetric Anesthesia and Perinatology annual meeting.
    Dr. Sultan is an NIH funded researcher. He is a principal investigator for a R01 grant awarded by the NHLBI aiming to develop and validate a new PROMIS-based measure to assess postpartum sleep. He is also a co-investigator for a Maternal Centers of Excellence U54 award from the NICHD entitled: Stanford PRIHSM: PReventing Inequities in Hemorrhage-related Severe Maternal Morbidity.

    Dr. Sultan is an elected member of the Association of University Anesthesiologists. He serves on the Society for Obstetric Anesthesia and Perinatology (SOAP) Board as the Director from Academic Practice, and on the Annual Meeting and Live Events and Research Committees. He also serves on the International Anesthesia Research Society and is the vice chair of the ASA abstract review subcommittee on obstetric anesthesia and perinatology.

    Dr. Sultan is a former Arline and Pete Harman Endowed Faculty Scholar of the Stanford Maternal and Child Health Research Institute at Stanford University and a previous recipient of the UK National Institute of Academic Anesthesia Research Award.

    Researchgate profile: https://www.researchgate.net/profile/Pervez_Sultan2
    Google Scholar profile: https://scholar.google.com/citations?user=Z2ftv_IAAAAJ&hl=en
    Twitter: @PervezSultanMD
    Website: www.postpartumrecovery.net

  • Meghan Sumner

    Meghan Sumner

    Associate Professor of Linguistics

    BioI am an Associate Professor of Phonetics at Stanford. My work simplified: I take sound patterns that exist in languages and associated variation and usage patterns (who says what, how and when), and investigate the social meaning humans associate with these patterns (and how they come to make these associations). I care about how, cognitively, this social information affects attention, perception, recognition, memory, and comprehension. Then, I take all of that, and investigate the areas in which language and society interact and highlight how this advances theory, but also how stereotype and bias are reinforced through spoken language. Much of what we currently know about speech variation, language and cognition stems from experiments that probe one component of this process at time, leave out social factors and experience, use stimuli from normative white talkers, and are quite distant from the interdisciplinary and diverse research needed to advance theories and address issues relevant to society. My general focus is on understanding the mechanisms and representations that underlie spoken language understanding and how they interact across various listener and speaker populations in a social and dynamic world.