School of Medicine
Showing 1,001-1,050 of 4,328 Results
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Vanessa El Kamari
Instructor, Medicine - Infectious Diseases
BioVanessa El Kamari, MD, is a physician-scientist in the Division of Infectious Diseases and Geographic Medicine at Stanford University and a member of the David Relman Laboratory. Her research investigates how host–microbe interactions in the small intestine regulate mucosal immunity, barrier integrity, and systemic inflammation in autoimmune and inflammatory diseases.
Her current studies use non-invasive sampling of the small intestine in conditions such as celiac disease, multiple sclerosis, and environmental enteropathy. She applies an integrative, multi-omic approach—combining microbiology, immunology, molecular biology, and computational biology—to define spatial immune–microbial networks along the human gut.
Before joining Stanford, Dr. El Kamari’s research focused on inflammation and immune activation in chronic HIV infection, where she identified gut barrier dysfunction as a key driver of systemic inflammation and cardiometabolic complications. She also led intervention studies targeting immune activation and endothelial dysfunction in HIV, work that laid the foundation for her current efforts to apply similar mechanistic approaches to autoimmune and inflammatory disorders. -
Moustafa Elattar
Visiting Instructor,
BioDr. Moustafa Elattar is a Visiting Instructor at Stanford University’s Neuro-Oncology Laboratory. Originally from Egypt, he earned his M.B.B.Ch. with honors from Benha Faculty of Medicine, Benha University. Dr. Elattar has a strong background in clinical research, biostatistical analysis, and evidence-based medicine. His work at Stanford focuses on high-impact projects in Stereotactic Radiosurgery (SRS), exploring clinical outcomes, indications, and treatment-related effects in neurosurgical diseases such as meningiomas, vestibular schwannomas, paragangliomas, and arteriovenous malformations.
Beyond his current research, Dr. Elattar is passionate about integrating clinical insight with data-driven methodologies to advance neuro-oncology and improve patient outcomes. -
Menashe Elazar
Sr. Research Scientist - Basic Life, Medicine - Med/Gastroenterology and Hepatology
Current Role at StanfordSenior Research Scientist
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Daniel Wayne Eller
Research Communications Librarian, School of Medicine - Lane Medical Library
Current Role at StanfordResearch Communications Librarian
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Christopher Stephen Elliott
Clinical Associate Professor (Affiliated), Urology - Divisions
BioDr Elliott is a fellowship trained, pelvic reconstructive surgeon with expertise in neurourology. He participated in the physician-scientist program at Ohio State University, receiving both and MD as well as a PhD in epidemiology. After completing his urologic residency at Stanford University Medical Center in 2010, he became Stanford's first Female Pelvic Medicine and Reconstructive Surgery Fellow - a unique two year ABU/ABOG accredited fellowship with both Stanford Urology and Urogynecology faculty training. During this time he received a full experience in pelvic medicine that encompassed both male and female patients. He has clinical and surgical expertise in the management of female pelvic organ prolapse, complex urogynecologic anomalies, overactive bladder, BPH, voiding dysfunction secondary to neurologic disease and both male and female incontinence.
Starting in 2012, Dr Elliott joined the Division of Urology at Santa Clara Valley Medical Center in San Jose, California with a joint appointment at Stanford University Medical Center. In addition to his clinical work, he has authored several book chapters, published multiple journal articles and taught courses at national meetings (AUA, AUGS). His main academic interests include the epidemiologic study of pelvic organ prolapse, incontinence and bladder dysfunction after spinal cord injury. Dr Elliott is currently a member of the SUFU young members committee and the Neurogenic Bladder Research Group.
Recent Publications
1)Spradling K, Sohlberg EM, Li S, Zhang CA, Brubaker WD, Dallas K, Pao AC, Liao J, Leppert JT, Elliott CS, Chung BI, Min GE, Conti SL. Urinary Stone Disease in Pregnancy: Current Management Practices in a Large National Cohort. Urology. 2020 (Epub ahead of print)
2)Dallas K, Rogo-Gupta L, Syan R, Enemchukwu E, Elliott CS. Balancing the possibility of needing a future incontinence procedure versus a future urethral sling revision surgery: a tradeoff analysis for continent women undergoing pelvic organ prolapse surgery. Int Urogynecol J. 2020 (Epub ahead of print)
3)Ehsanian R, Creasey G, Elliott CS, Abu-Eid CA, Ali A, Prutton M, Singh H. Implantation of Sacral Nerve Stimulator Without Rhizotomy for Neurogenic Bladder in Patient With Spinal Cord Injury: 2-Dimensional Operative Video. Oper Neurosurg (Hagerstown). 2020 Jan 24. [Epub ahead of print]
4)Sohlberg EM, Brubaker WD, Zhang CA, Anderegg LDL, Dallas K, Song S, Ganesan C, Chertow G, Pao A, Liao J, Leppert JT, Elliott CS, Conti SL. Urinary Stone Disease in Pregnancy: A Claims-Based Analysis of 1.4 Million Patients. J Urol. 2019 (epub ahead of print)
5)Song S, Thomas IC, Ganesan C, Sohlberg EM, Chertow GM, Liao JC, Conti S, Elliott CS, Pao AC, Leppert JT. Twenty-Four Hour Urine Testing and Prescriptions for Urinary Stone Disease-Related Medications in Veterans. Clin J Am Soc Nephrol. 2019 (epub ahead of print)
6)Cheng RZ, Shkolyar E, Chang TC, Spradling K, Ganesan C, Song S, Pao AC, Leppert JT, Elliott CS, To'o K, Conti SL. Ultra-low-dose CT: An Effective Follow-up Imaging Modality for Ureterolithiasis. J Endourol. 2019 (epub ahead of print)
7)Kasman A, Stave C, Elliott C. Combination therapy in overactive bladder-untapped research opportunities: A systematic review of the literature. Neurourol Urodyn. (2019) epub ahead of print -
Jennie Lisabeth Ellison
Casual Employee, Medicine
Current Role at StanfordGrant & Communications Writer
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Mychele Carvalho
Education Services Administrative Associate, Anesthesiology, Perioperative and Pain Medicine
Current Role at StanfordAnesthesiology Grand Rounds & Global Health Coordinator
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Ahmet Görkem Er
Postdoc Res Affiliate, Rad/Integrative Biomedical Imaging Informatics at Stanford
Postdoc Res Affiliate-2, Rad/Integrative Biomedical Imaging Informatics at StanfordBioAhmet Görkem Er, M.D., Ph.D., is a physician-scientist and postdoctoral fellow in Integrative Biomedical Imaging Informatics (IBIIS) at Stanford University. He graduated from Istanbul University Faculty of Medicine and completed dual residency training in internal medicine and infectious diseases and clinical microbiology at Hacettepe University. He also has a Ph.D. in medical informatics from Middle East Technical University.
As a Fulbright Ph.D. Dissertation Research Grantee (2022–2023), Dr. Er conducted research at the Stanford Center for Biomedical Informatics Research, focusing on multimodal data integration in COVID-19 patients. This work resulted in a publication in NPJ Digital Medicine demonstrating the value of combining clinical, imaging, and viral genomic data for improved disease modeling. He returned to Stanford in 2024 as a visiting researcher and is currently a postdoctoral fellow, where he combines his clinical background with advanced computational methods.
Dr. Er’s research focuses on developing artificial intelligence and multimodal data fusion approaches for complex diseases. His work integrates a broad spectrum of inputs, including medical imaging, histopathology, clinical data, genomics, and spatial transcriptomics, to improve patient stratification and support data-driven clinical decision-making. -
Koray Ertan
Research Engineer, Rad/Radiological Sciences Laboratory
BioKoray Ertan received his B.Sc. degree in Electrical and Electronics Engineering from Bilkent University, Turkey, where he also completed his Ph.D. under the supervision of Prof. Ergin Atalar. During his doctoral studies, he conducted research at the National Magnetic Resonance Research Center (UMRAM) in Turkey. His dissertation focused on the development of novel magnetic resonance imaging (MRI) technologies, including gradient array systems aimed at improving diagnostic image quality, reducing specific absorption rate (SAR), and shortening scan times.
In April 2019, he joined Prof. Brian Rutt’s group at Stanford University as a postdoctoral researcher. Shortly after, in June 2019, he was also appointed as a MINDED postdoctoral fellow. As part of the MINDED program, his research involved developing a system to modulate the permeability of the blood-brain barrier using focused radiofrequency heating from ultra-high field MRI transmit coils, with the goal of enhancing nanomedicine-based treatments for neurodevelopmental disorders.
He is currently a Research Scientist in the Radiological Sciences Laboratory at Stanford. His present work focuses on the design of next-generation head gradient coils and the analysis of peripheral nerve stimulation (PNS) thresholds. He is developing a predictive framework to estimate subject-specific PNS limits using basic demographic data and localizer MRI scans, with the aim of enabling safer and more efficient MRI. -
Aryan Esmaeili
Instructor (Affiliated), Psych/Public Mental Health & Population Sciences
BioMy research bridges Veteran mental health, brain injury, and computational neuroscience through the development of artificial intelligence (AI), machine learning (ML), and real-world data methods to improve cognitive and rehabilitation outcomes among high-risk Veteran populations. My work focuses on the intersection of traumatic brain injury (TBI), neurodegeneration, substance use disorders, and psychiatric comorbidities, with an emphasis on understanding heterogeneous cognitive trajectories among Veterans. At the C-BRAIN Lab, I collaborate on computational approaches that integrate multimodal electronic health record (EHR) data, neuropsychological assessments, clinical narratives, and longitudinal health outcomes to better characterize cognitive impairment and recovery processes. My current research develops AI/ML phenotyping methods to distinguish potentially reversible cannabis-related cognitive impairment from progressive neurodegenerative disorders using large-scale Veterans Health Administration (VHA) data.
My long-term research goal is to advance precision rehabilitation and cognitive health strategies for Veterans with complex neurological and psychiatric conditions, including TBI and spinal cord injury (SCI). By combining computational neuroscience, causal inference methods, and patient-centered outcomes research, I aim to identify high-risk individuals earlier, improve cognitive outcome measurement, and inform more effective rehabilitation and mental health care strategies within and beyond the VA healthcare system.
