Stanford University
Showing 41-50 of 1,075 Results
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Neda Fakhimi
Affiliate, Central Mgmt-Misc AR
BioNeda is an interdisciplinary scientist working at the intersection of bioscience and chemical engineering, with a deep fascination for the function and potential of microbes. Her research focuses on photosynthetic green microalgae, which she finds both visually captivating under the microscope and remarkably capable in their physiological roles. As a postdoctoral scholar in Dr. Arthur Grossman's lab at Carnegie Institution for Science, she investigates the physiological and biochemical functions of NAD kinase isoforms and their roles in regulating central carbon metabolism in photosynthetic systems. Ultimately, she aims to integrate these molecular insights to enable sustainable bioproduction of high-value products, combined with carbon sequestration and waste resource recovery. She also collaborates with a multidisciplinary team of biologists and computer scientists to develop advanced machine learning models for predicting organelle targeting and dual localization of proteins in the green lineage, tools required for advancing fundamental research in this area.
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Bita Fakhri, MD, MPH
Assistant Professor of Medicine (Hematology)
BioDr. Bita Fakhri is Assistant Professor of Medicine in the Division of Hematology at Stanford University School of Medicine. She specializes in the treatment of chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL), hairy cell leukemia, and other hematologic malignancies. As a clinical scientist, Dr. Fakhri is dedicated to caring for patients, teaching trainees, and researching novel therapies for patients with CLL/SLL. Dr. Fakhri has co-authored numerous publications on topics including CLL, novel targeted agents, and cellular therapies for patients with hematologic malignancies. Currently, Dr. Fakhri is the director of the CLL clinical trial portfolio at Stanford. Additionally, in her role as the DEI ambassador of the Division of Hematology, her main focus is to enhance trial equity among underserved and marginalized populations in the Stanford catchment area.
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Titilola Falasinnu
Assistant Professor of Medicine (Immunology and Rheumatology) and, by courtesy, of Anesthesiology, Perioperative and Pain Medicine (Adult Pain)
BioI am primarily a lupus researcher and identify as a pain scientist and methodologist in this field. Systemic lupus erythematosus (SLE) disproportionately affects women and racial minorities and is the fifth most common cause of death among 15- to 24-year-old Black and Hispanic women in the U.S., highlighting its significant public health impact. More than half of patients with SLE experience chronic pain, often secondary to SLE itself or overlapping conditions (e.g., migraines, low back pain, fibromyalgia), contributing significantly to disability and impaired quality of life. Chronic pain is not merely a symptom but a disease in its own right—one that deserves the same rigorous study and clinical attention as comorbidities like kidney disease and cardiovascular disease in rheumatology. The enormous global burden of chronic pain underscores the urgent need for a clear, standardized definition of pain as a disease, particularly in autoimmune rheumatic diseases where pain can arise from inflammatory, nociplastic, and biopsychosocial mechanisms. Without recognizing pain as a distinct disease entity, its mechanisms remain poorly understood, and effective treatment strategies remain underdeveloped.
I am a co-Principal Investigator of the Pain Intelligence Lab, where our mission is to advance the study of pain as a disease in rheumatology through two primary objectives. First, we develop and validate computational methods that enable clinicians and researchers to leverage electronic health records, administrative claims, and disease registries to study chronic pain as a distinct disease entity in rheumatology. By applying machine learning, natural language processing, and real-world data analysis, we seek to enhance pain phenotyping, classify distinct pain subtypes, and develop predictive models for treatment response. Second, we use a biopsychosocial framework to examine the predictive power of biomarkers and psychosocial measures in rheumatologic pain. By integrating biological, psychological, and social determinants of pain, we aim to conduct rigorous, patient-oriented research that translates targeted assessments into mechanistically informed, personalized treatment approaches for optimized clinical care. Ultimately, my long term career goal is to bridge the gap between research and clinical practice, ensuring that pain management in autoimmune rheumatic diseases is precise, equitable, and optimized for improved patient outcomes. -
Walter Falcon
Senior Fellow, Emeritus, Stanford Woods Institute for the Environment
Current Research and Scholarly Interestsbiotechnology; food security; food and agricultural policy in developing countries
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Arcadia Falcone
Metadata Coordinator, Metadata Department
Current Role at StanfordMetadata Coordinator and Head, Metadata Design Unit
Metadata Services, Stanford Libraries
