School of Medicine


Showing 921-940 of 1,600 Results

  • Fateme Nateghi Haredasht

    Fateme Nateghi Haredasht

    Postdoctoral Scholar, Biomedical Informatics

    BioAs a postdoctoral scholar at the Stanford Center for Biomedical Informatics Research, I find myself at the exciting intersection of machine learning and healthcare. My journey began with a PhD in Biomedical Sciences from KU Leuven in Belgium, where I delved into the complexities of machine learning algorithms and their transformative potential in healthcare settings. My research, particularly focused on adapting these algorithms for time-to-event data (a method used for predicting specific events in a patient’s future), has not only been a challenging endeavor but also a deeply fulfilling one.

    Now at Stanford, my role involves not just advancing machine learning integration in healthcare, but also collaborating with a diverse team of experts. Together, we're striving to unravel complex healthcare challenges and improve patient outcomes.

  • Amy Nava

    Amy Nava

    Postdoctoral Scholar, Molecular and Cellular Physiology

    BioMy long-term scientific ambition entails establishing an interdisciplinary and diverse laboratory primarily focused on countering antibiotic resistance. This objective comprises three central elements: elucidating the bacterial calcium transduction pathway, crafting innovative therapeutics to treat antibiotic-resistant deep tissue infections, and comprehending how calcium signaling stimulates bacterial pathogenesis mechanisms.
    The foundation of my research experience supports the existence of calcium signal transduction pathways in bacteria. This conclusion aligns with various studies that drew indirect connections between calcium signaling and the regulation of other bacterial physiological processes, including virulence.
    A thorough grasp of the mechanism by which calcium regulates multidrug-resistant functions, such as efflux, is a crucial stride toward mitigating the global crisis of antibiotic resistance. I am dedicated to contributing significantly to this path of exploration, ultimately driving impactful scientific development and healthcare improvement.

  • Shaghayegh Navabpour

    Shaghayegh Navabpour

    Postdoctoral Scholar, Pathology

    Current Research and Scholarly InterestsMy research interests lie at the intersection of genetics and epigenetics, with a current focus on cancer and drug development. I am particularly interested in bifunctional small molecules, such as Transcriptional/Epigenetic Chemical Inducers of Proximity (TCIPs). My work now concentrates on designing, synthesizing, and testing new TCIPs that utilize various transcription factors or histone modifiers to target genes implicated in different types of cancer. Through this approach, I aim to develop innovative therapies that can more precisely and effectively combat cancer, especially to ease the treatment process for vulnerable patients, such as children and adolescents.

  • Madelena Ng

    Madelena Ng

    Postdoctoral Scholar, Biomedical Informatics

    BioDr. Ng is a postdoctoral fellow at the Stanford Center for Biomedical Informatics Research, mentored by Dr. Tina Hernandez Boussard. Her research aims to illuminate the evolving ethical and practical challenges with emerging technologies used for health purposes. Prior to joining Stanford, Dr. Ng facilitated mobile- and internet-based health research initiatives with the Health eHeart Study and the Eureka Digital Research Platform and developed research study prototypes that used blockchain technology for health data exchange. Her current work focuses on discerning key challenges that exist at each stage of the AI life cycle and generating informed guidance to drive the responsible and equitable use of AI for patient care.

  • Trang-Anh Nghiem

    Trang-Anh Nghiem

    Postdoctoral Scholar, Psychiatry

    Current Research and Scholarly InterestsI am interested in how brain dynamics and cognitive functions in health and disease emerge from interactions within biological neural networks. To this purpose, I combine theoretical and computational models of brain dynamics and function inspired by statistical physics and information theory with analysis of neural recordings at different scales using machine learning methods.

  • Minh Dai Nguyen

    Minh Dai Nguyen

    Postdoctoral Scholar, Gastroenterology

    BioDr. Minh Nguyen joined the Prof. Jeffrey Glenn laboratory as a postdoctoral scholar in August 2022. In collaboration with Safaran ChEM-H Medicinal Chemistry Knowledge Center, his research objective is to harness the power of organic synthesis toward the development of novel antiviral therapies. Minh obtained his Ph.D. in Chemistry from the University of Pennsylvania under the direction of Prof. Amos B. Smith, III, where his doctoral work centered on the convergent total synthesis of two marine natural products nahuoic acids Cii and Dii.

  • Kenneth Nieser

    Kenneth Nieser

    Postdoctoral Scholar, General Surgery

    BioKen Nieser is a postdoctoral research fellow through the Big Data-Scientist Training Enhancement Program (BD-STEP) at the Palo Alto VA and in the Department of Surgery, Stanford School of Medicine. Ken received a BA in Physics and Mathematics from Swarthmore College and a PhD in Epidemiology with a minor in Statistics from the University of Wisconsin-Madison. During his PhD, Ken developed and applied statistical methods for improving algorithmic fairness of data analyses used to inform screening and treatment of mental illnesses. These projects included development of an approach for detecting sample subsets with differential psychological symptom patterns and a sample representation reweighting method for improving the precision of subgroup-specific treatment effect estimation.

    Ken’s current research interests are in health care inequities, quality measurement, and algorithmic fairness. During his fellowship, Ken will be working on investigating the statistical reliability of quality measures and decomposing health care disparities to provide practical information for resolving inequities, with applications in mental health care and surgical care.