School of Medicine
Showing 1,101-1,110 of 2,404 Results
-
Sheila Lahijani, MD, FACLP
Clinical Professor, Psychiatry and Behavioral Sciences - Medical Psychiatry
Clinical Professor (By courtesy), Medicine - OncologyBioDr. Lahijani is a Clinical Professor at Stanford University School of Medicine and a nationally recognized leader in psycho-oncology. With extensive training and expertise in internal medicine, psychiatry, and consultation-liaison psychiatry, she has made significant contributions to the integration of psychiatric care within oncological settings.
Since her appointment at Stanford in 2015, Dr. Lahijani has served as the lead psychiatric oncologist at the Stanford Cancer Center, where she provides medical psychiatric consultation services and collaborates with interdisciplinary teams to enhance patient outcomes. In her capacity as Medical Director of the Stanford Cancer Center Psychosocial Oncology Program, a position she has held since 2019, she is responsible for the strategic development and implementation of comprehensive psychiatric services tailored to the unique needs of patients with cancer.
Additionally, Dr. Lahijani serves as the Section Chief of Psycho-Oncology in the Division of Medical Psychiatry where she oversees psych-onc faculty development and leads the training of medical psychiatry fellows in psycho-oncology. She is the Faculty Director of the Psychosocial Oncology Clerkship for medical students. Dr. Lahijani also supervises advanced practice providers and behavioral health clinicians while working as an attending psychiatric oncologist to provide care for patients with complex medical and psychiatric comorbidities across all hematology and oncology services.
Dr. Lahijani's academic credentials include her graduation from Brown Medical School, followed by the completion of a combined residency in Internal Medicine and Psychiatry at Rush University Medical Center. After completing residency, she practiced internal medicine and psychiatry with a focus on triple diagnosis (HIV, addiction medicine, mental health). She then further advanced through a Psychosomatic Medicine Fellowship at Northwestern University's Feinberg School of Medicine, during which time she received specialized training in psychiatric oncology at the Lurie Comprehensive Cancer Center and Memorial Sloan Kettering Cancer Center.
Her clinical expertise encompasses psychopharmacology and a range of treatment modalities, including Meaning Centered Psychotherapy and Dignity Therapy. Dr. Lahijani is committed to fostering relationship-centered skills and promoting provider wellness. As a faculty member of Advancing Communication Excellence at Stanford, she has led workshops designed to enhance communication competencies among faculty and staff.
Dr. Lahijani's scholarly pursuits are at the intersection of medicine and psychiatry, with a particular emphasis on the neuropsychiatric sequelae of cancer treatment, innovations in care, and medical education. She is dedicated to the education and mentorship of trainees in Psychiatry, Internal Medicine, Hematology/Oncology, Neurology, Geriatric Psychiatry, Palliative Medicine, and Breast Surgery. Through her commitment to academic excellence, Dr. Lahijani plays a pivotal role in preparing the next generation of clinicians, educators and scientists to understand and adeptly navigate the intricate and multifaceted needs of patients and their caregivers, thereby promoting a comprehensive approach to medicine. -
Fadi George Lakkis
Professor of Medicine (Nephrology)
Current Research and Scholarly InterestsI study how the immune system rejects transplanted organs, with the goal of improving long-term transplant outcomes. A related area of research in my laboratory is the relationship between maternal-fetal immune interactions and reproductive success.
https://pubmed.ncbi.nlm.nih.gov/?term=Lakkis+FG%5BAuthor%5D&sort=date -
Rayhan A. Lal, MD
Assistant Professor of Medicine (Endocrinology) and of Pediatrics (Endocrinology)
BioI grew up in the east bay area and have had type 1 diabetes for 30+ years. I studied electrical engineering and computer science at U.C. Berkeley (Go Bears!) with the hope of applying my knowledge to diabetes technology. The significance of clinical practice became clear to me after my siblings also developed diabetes. I am devoting my life to advancing the care of diabetes in people of all ages.
-
Vinh Lam
Clinical Assistant Professor, Medicine - Primary Care and Population Health
BioDr. Vinh Lam is a Clinical Assistant Professor in the Department of Medicine, Division of Primary Care and Population health. He earned his MD from the David Geffen School of Medicine at UCLA and chose to stay in Los Angeles to complete his family medicine residency training at UCLA. During his training, Dr. Lam developed a strong interest in teaching and medical education through his involvement with resident education and the graduate medical education committee. He also spent 1 year as a resident informaticist where he also became very interested in informatics, medical technology, and innovative solutions to improving patient health outcomes and decreasing physician burnout. Dr. Lam enjoys caring for patients of all ages from pediatrics to geriatrics, performing office-based procedures, and prioritizing preventative care.
Outside of medicine, Dr. Lam loves to travel with his family, dabbles in photography and videography, and enjoys attempting to recreate meals he has had while traveling with his wife. -
Nathalie Lambrecht
Postdoctoral Scholar, General Internal Medicine
Current Research and Scholarly InterestsDr. Lambrecht's research aims to address malnutrition and environmental degradation from two angles: (1) evaluating climate-resilient agricultural strategies to improve global food security, nutrition, and health, and (2) assessing approaches to promote consumption of healthy and sustainable diets.
Climate-resilient agriculture for human health: Across various countries in Sub-Saharan Africa and South Asia, Dr. Lambrecht investigates small-scale crop and livestock agroecology as a win-win strategy to benefit human nutrition, the environment, and households’ resilience to climate change. Her current work aims to understand whether integrated crop-livestock rearing can buffer the potential negative impacts of climate shocks on children's growth in Ethiopia, Tanzania, Malawi, and Uganda. During her PhD, Dr. Lambrecht examined linkages between household livestock ownership and anemia in children in southern Ghana, investigating the hypothesis that rearing livestock could alleviate anemia by providing a source of micronutrient-rich animal-source foods, yet could also exacerbate anemia by exposing children to zoonotic pathogens. Dr. Lambrecht has also worked on a large-scale homestead food production trial in Bangladesh, examining impacts on agricultural production, and children's and women's diets and health.
Healthy and sustainable diets: Shifting diets towards sustainable and healthy plant-forward dietary patterns is essential for mitigating climate change, reducing biodiversity loss and habitat destruction, and reducing non-communicable chronic diseases. Dr. Lambrecht is a lead researcher of the NURISHD (NURsing home and hospital food service – Implementation of Healthy and Sustainable Diets) study. This research project examines the environmental footprint and nutritional quality of food service in German healthcare institutions and evaluates the feasibility of shifting dietary patterns toward the Planetary Health Diet. -
Curtis Langlotz
Senior Associate Vice Provost for Research, Professor of Radiology (Integrative Biomedical Imaging Informatics), of Medicine, of Biomedical Data Science and Senior Fellow at the Stanford Institute for Human-Centered AI
Current Research and Scholarly InterestsMy laboratory develops machine learning methods to help physicians detect disease and eliminate diagnostic errors. My laboratory is developing neural network systems that detect and classify disease on medical images. We also develop natural language processing methods that use the narrative radiology report for contrastive learning and other multi-modal methods that improve the accuracy and capability of machine learning systems.
