Scheherazade Le | Neuroscience | Best Researcher Award

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Dr. Scheherazade Le | Neuroscience | Best Researcher Award

👤 Dr. Scheherazade Le, Stanford, United States

Dr. Scheherazade Le, M.D., is a Clinical Professor in the Department of Neurology at Stanford University. With expertise in epilepsy and electroencephalography (EEG), she specializes in intraoperative neuromonitoring (IONM) and neurophysiology. Dr. Le earned her M.D. from the University of California, San Francisco (UCSF), and completed residency and fellowship training at Stanford University, where she also held the role of Chief Resident. With extensive clinical and academic appointments, Dr. Le is dedicated to advancing medical education in neurology. Her contributions extend to the creation of high-quality teaching curricula and the mentorship of students, residents, and fellows. Her clinical expertise and passion for education have earned her multiple honors, including the A.B. Baker Teacher Recognition Award. Through her innovative teaching and research, Dr. Le has made significant contributions to the field of neuroscience.

Professional Profile

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🌟 Research for Best Researcher Award Evaluation for Dr. Scheherazade Le, M.D.

Dr. Scheherazade Le, a Clinical Professor in the Department of Neurology at Stanford University, is an exemplary candidate for the Research for Best Researcher Award. Her extensive background in epilepsy, electroencephalography (EEG), and intraoperative neuro-monitoring (IONM) sets her apart as a leader in the field. She holds dual board certifications in adult neurology and epilepsy, which reflect her comprehensive expertise.

Dr. Le’s education and training at prestigious institutions like UCSF and Stanford, coupled with her multiple academic appointments and contributions to the curriculum, have been highly influential. Her role as the co-course director of Stanford’s Neuroscience Block and her efforts in developing innovative neurology curriculum, especially for epilepsy, reflect her deep commitment to advancing education in the medical field. She has consistently received recognition for her excellence in teaching, receiving numerous awards such as the A.B. Baker Teacher Recognition Award from the American Academy of Neurology in 2024.

🎓 Education 

Dr. Scheherazade Le completed her M.D. at the University of California, San Francisco (UCSF) in May 2006, where she focused on medical humanities. Her undergraduate studies were at the University of California, Berkeley (UCB), where she graduated with High Honors in Political Science and received the highest honors for her thesis. Dr. Le pursued residency in Neurology at Stanford University, where she also served as Chief Resident. Afterward, she completed fellowship training in Clinical Neurophysiology at Stanford, specializing in Intraoperative Neuro-Monitoring (IONM) and Epilepsy & Electroencephalography (EEG). Dr. Le’s academic achievements are reflected in her continuous commitment to excellence in teaching and mentoring. She has significantly contributed to shaping the neurology curriculum at Stanford Medical School and has earned numerous awards, such as the A.B. Baker Teacher Recognition Award, further demonstrating her academic prowess and passion for education.

💼   Professional Experience 

Dr. Scheherazade Le currently serves as a Clinical Professor at the Department of Neurology at Stanford University, where she is responsible for teaching and supervising medical students, residents, and fellows in epilepsy, electroencephalography (EEG), and intraoperative neuromonitoring (IONM). Her professional trajectory includes various roles at Stanford University, ranging from Clinical Assistant Professor to Clinical Associate Professor. Throughout her tenure, she has led educational initiatives and clinical training for Stanford’s Neurology residency and fellowship programs. Dr. Le has been instrumental in course development for the Neuroscience Block (SOM223A), a second-year medical school course that she co-directs. She is also an invited lecturer for the Stanford Physician Assistant Program and actively participates in the Epilepsy Monitoring Unit. Dr. Le’s clinical work involves treating patients with epilepsy, neurophysiological conditions, and neurological disorders, while her academic efforts focus on curriculum development and innovative teaching methodologies.

🏅  Awards and Recognition 

Dr. Scheherazade Le has been recognized with numerous prestigious awards throughout her career. She was nominated for the American Academy of Neurology (AAN) Neuroscience Course Director Excellence Award in 2025 and received the A.B. Baker Teacher Recognition Award in 2024. Her commitment to educational excellence is further demonstrated by her receipt of the Stanford School of Medicine’s highest-rated course award for the Neuroscience Block (SOM223), which she has received multiple times, including in 2023 and 2024. Dr. Le’s work in neurology education also garnered her the Henry J. Kaiser Family Foundation Teaching Award Nominee for her contributions to medical education from 2022 to 2023. Other accolades include the Stanford Department of Neurology Lysia S. Forno Teaching Award and the Stanford Neurology Clerkship Medical Student Teaching Award. These honors reflect her dedication to advancing both the academic and clinical training of the next generation of neurologists.

🌍 Research Skill On Neuroscience

Dr. Scheherazade Le’s research interests lie at the intersection of clinical neurophysiology, epilepsy, and neuroimaging. She is particularly focused on advancing understanding and treatment methodologies for epilepsy and neurologic diseases through the use of electroencephalography (EEG) and intraoperative neuro-monitoring (IONM). Dr. Le’s research has contributed to the growing body of knowledge regarding brain-responsive neurostimulation in epilepsy patients with tuberous sclerosis complex. Additionally, she has been involved in studies concerning autoimmune encephalitis, psychogenic non-epileptic seizures, and the neurophysiology of abnormal movements. Her ability to bridge clinical practice with scientific investigation allows her to translate complex research findings into effective clinical treatments. Dr. Le is a key collaborator in multi-disciplinary research projects and has presented her work at regional neurophysiology and neuroimmunology conferences. Her ongoing research aims to improve diagnostic approaches and develop innovative therapies for neurological disorders, impacting both clinical practice and patient care.

 📖 Publication Top Notes

  • Cognitive and behavioral effects of perampanel 4 mg daily dose
    Authors: Meador, K.J., Seliger, J., Le, S., Loring, D.W., Gerard, E.
    Journal: Epilepsy and Behavior
    Year: 2025
    Volume: 164
  • Response to “Antipsychotics use in autoimmune encephalitis and multiple sclerosis: Impact on hospitalization duration”
    Authors: Folmsbee, S.S., Gombar, S., Le, S.
    Journal: Journal of Clinical Neuroscience
    Year: 2024
    Volume: 126
  • Amnesia, Superior Altitudinal Anopia, and Reversed Clock Phenomenon due to Bilateral Posterior Cerebral Artery Infarcts
    Authors: Jindal, J.A., Le, S.T., Lansberg, M.G.
    Journal: Stroke
    Year: 2024
    Volume: 55(6)
  • Antipsychotic medications associated with increased length of hospital stay in autoimmune encephalitis and multiple sclerosis: A retrospective study
    Authors: Sai Folmsbee, S., Hui, G., Yuan, Y., Han, M., Le, S.
    Journal: Journal of Clinical Neuroscience
    Year: 2024
    Volume: 124
  • Utilization of APE2 and RITE2 scores in autoimmune encephalitis patients with seizures
    Authors: Rafferty, T., Koeppen-Babcock, A., Muppidi, S., Li, Y., Le, S.
    Journal: Epilepsy and Behavior
    Year: 2024
    Volume: 154
  • Long-term outcomes of mesial temporal laser interstitial thermal therapy for drug-resistant epilepsy and subsequent surgery for seizure recurrence: A multi-centre cohort study
    Authors: Youngerman, B.E., Banu, M.A., Khan, F., D’Haese, P.-F., Wu, C.
    Journal: Journal of Neurology, Neurosurgery and Psychiatry
    Year: 2023
    Volume: 94(11)
  • Sharps Injuries Related to Subdermal Needles in the Orbicularis Oris During Intraoperative Neurophysiologic Monitoring
    Authors: Joshi, A., Aissa, Y., Le, S., Lee, L., Lopez, J.R.
    Journal: Journal of Clinical Neurophysiology
    Year: 2022
    Volume: 39(7)
  • A retrospective cohort study of new-onset refractory status epilepticus (NORSE): clinical features, timing of immunotherapy and outcomes
    Authors: Werbaneth, K., Mausolf, M., Seliger, J., Le, S.
    Journal: Epileptic Disorders
    Year: 2022
    Volume: 24(5)
  • Direct brainstem somatosensory evoked potentials for cavernous malformations
    Authors: Le, S., Nguyen, V., Lee, L., Steinberg, G., López, J.
    Journal: Journal of Neurosurgery
    Year: 2022
    Volume: 137(1)
  • Hybrid Fluoroscopic and Neurophysiological Targeting of Responsive Neurostimulation of the Rolandic Cortex
    Authors: Parker, J.J., Jamiolkowski, R.M., Grant, G.A., Le, S., Halpern, C.H.
    Journal: Operative Neurosurgery
    Year: 2021
    Volume: 21(3)

Prof. Huafu Chen | Neuroscience | Best Researcher Award

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Prof. Huafu Chen | Neuroscience | Best Researcher Award

Prof. Huafu Chen, University of Electronic Science and Technology of China, China

Huafu Chen, a distinguished neuroscientist, serves as Dean and Professor at the University of Electronic Science and Technology of China. With a Ph.D. in biomedical engineering earned in 2004, he has dedicated his career to unraveling the mysteries of the human brain. His research delves into advanced pattern recognition techniques for magnetic resonance imaging (MRI) data, with a focus on understanding neuroimaging mechanisms in neurological and psychiatric disorders. A recipient of prestigious honors such as the National Science Fund for Outstanding Young Scholars and the Yangtze River Scholars award, Professor Chen is a driving force behind innovations in clinical imaging for diagnosis and evaluation. His contributions have paved the way for critical advancements in neuroscience, marked by his publication of over 300 high-impact SCI papers.

Professional Profile

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Summary of Suitability for the Award

Professor Huafu Chen is a distinguished academic and researcher with a profound impact in the field of brain imaging and pattern recognition. With a Ph.D. in biomedical engineering from the University of Electronic Science and Technology of China and a successful career as a professor and dean at the same institution, Professor Chen has contributed immensely to the understanding of neurological and psychiatric diseases. His research primarily revolves around the development of artificial intelligence methods for analyzing magnetic resonance imaging (MRI) data, aiding in clinical diagnoses and assessments. Notably, his contributions to neuroimaging mechanisms have established significant advancements, with his work cited extensively in the scientific community.

🎓 Education 

Huafu Chen earned his Ph.D. in biomedical engineering from the University of Electronic Science and Technology of China (UESTC) in 2004. His academic journey has been characterized by an unwavering commitment to understanding the complexities of brain imaging and neuroengineering. Through rigorous training and research, he has developed expertise in analyzing magnetic resonance imaging (MRI) data and applying pattern recognition to elucidate neurological phenomena. Chen’s extensive education has laid the foundation for his impactful work, particularly in bridging the gap between engineering and neuroscience. His academic contributions have inspired students and peers alike, and he continues to drive innovative research projects in the School of Life Science and Technology at UESTC. His educational background is complemented by numerous postdoctoral collaborations, which have expanded his knowledge in neuroimaging and artificial intelligence.

💼  Professional Experience 

Professor Huafu Chen currently serves as Dean and Professor at the School of Life Science and Technology, University of Electronic Science and Technology of China (UESTC). Over his illustrious career, he has spearheaded pioneering research in brain imaging and pattern recognition. His expertise lies in analyzing MRI data to uncover patterns linked to neurological and psychiatric conditions. As a leader in his field, he has directed numerous high-profile research projects, including collaborations with the Ministry of Science and Technology and the National Natural Science Foundation of China. His editorial role in Cognitive Neurodynamics and involvement with the China Society of Image and Graphics reflect his commitment to advancing neuroscience. Beyond academia, he has successfully engaged in consultancy and industrial collaborations, contributing innovative solutions to pressing medical challenges. Chen’s work has earned him a reputation as a visionary researcher, continually pushing the boundaries of neuroscience and clinical diagnostics.

🏅   Awards and Recognition 

Huafu Chen’s groundbreaking work has earned him several prestigious awards and honors. He received the National Science Fund for Outstanding Young Scholars, a testament to his remarkable contributions to neuroscience research. Additionally, he was honored with the Yangtze River Scholars award, which recognizes his academic excellence and leadership in the field. His research, often cited in high-impact journals like PNAS, Nature Communications, and Science Advances, has been foundational in understanding brain imaging mechanisms. As Vice Chairman of the Visual Cognition and Computing Committee, Chen actively shapes research agendas and promotes innovation. His impact extends to editorial roles, such as his position as Editor of Cognitive Neurodynamics. With more than 10,000 citations in scientific literature, his work has influenced a broad spectrum of neuroscience and clinical applications. These accolades underscore his status as a leading authority in brain imaging and pattern recognition.

🌍 Research Skills 

Professor Huafu Chen is a master of neuroimaging techniques and pattern recognition in magnetic resonance imaging (MRI). His research skill set is tailored to extracting meaningful insights from complex brain imaging data, emphasizing methods that aid in diagnosing neurological and psychiatric conditions. He is proficient in designing AI-driven algorithms that discern subtle imaging patterns, offering new perspectives on brain function and disorder mechanisms. His expertise extends to clinical imaging analysis, providing vital imaging evidence to improve diagnostic and evaluative practices. Chen has also excelled in interdisciplinary collaborations, applying neuroscience methods to real-world healthcare challenges. His technical acumen, combined with a strategic research approach, has led to the development of innovative imaging solutions. By integrating computational neuroscience with clinical research, he aims to make tangible improvements in medical diagnostics and patient outcomes. His skill set positions him at the forefront of modern neuroscience and medical technology.

📖 Publiaction Top Notes

  • Title: Search for physics beyond the standard model in dilepton mass spectra in proton-proton collisions at TeV
    Cited by: 674
  • Title: Altered functional–structural coupling of large-scale brain networks in idiopathic generalized epilepsy
    Cited by: 582
  • Title: Altered functional connectivity and small-world in mesial temporal lobe epilepsy
    Cited by: 579
  • Title: IL4-driven microglia modulate stress resilience through BDNF-dependent neurogenesis
    Cited by: 380
  • Title: Default mode network abnormalities in mesial temporal lobe epilepsy: a study combining fMRI and DTI
    Cited by: 376