Stanford University
Showing 181-200 of 13,134 Results
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So Hee "Naomi" Ahn
Casual, Medicine - Med/Family and Community Medicine
BioNaomi is a fourth-year medical student at Seoul National University, expecting to graduate in February 2024. She earned her bachelor's degree Summa Cum Laude from Washington University in St. Louis in December 2018, majoring in Biology and minoring in Chinese Language & Culture. Although she has quite a long way to go before becoming a compassionate physician-scientist, Naomi has accumulated many years of research and clinical experience in the field of medicine, ranging from the molecular level to the population level. Her research interests lie in genomics, psychosomatic medicine, and global health.
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Neera Ahuja
Professor of Medicine (Hospital Medicine)
Current Research and Scholarly InterestsClinical inpatient trials, Quality improvement, Assessing interventions with operations on throughput. SDOH/Health equity
Medical education research; Intergenerational teaching/learning; Analysis of effects of duty hour regulations on housestaff training and ways to improve the system -
Agnideep “Agni” Aich, PhD
Postdoctoral Scholar, Emergency Medicine
Current Research and Scholarly InterestsAgni's research develops interpretable statistical machine learning methods for clinical, biomedical, and population health data, with interests spanning dependence-aware learning and copula-based methods, extreme-event modeling, predictive modeling, supervised feature selection, and AI in healthcare. At the HEAL Lab, he analyzes clinical workflows and AI implementation to advance understanding of the human experience in healthcare, emphasizing practical, interpretable, human-centered outcomes.
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Meghali Aich
Postdoctoral Scholar, Neonatal and Developmental Medicine
BioMy research interest lies in understanding how environmental factors contribute to neurodevelopmental disorders and translating those insights into therapies. Aligned with this, my current research in Dr. Anca Pasca’s lab at Stanford focuses on how reductive stress associated with maternal metabolic syndrome affects fetal brain development.
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Naga Achyuth Reddy Ailury
Affiliate, Surgery - Plastic and Reconstructive Surgery
BioNaga Achyuth Reddy is a CIRM Bridges Research Scholar in the Hagey Laboratory at Stanford University School of Medicine under the mentorship of Dr. Michael T. Longaker. His journey to the United States marked the beginning of a new chapter, driven by a commitment to advancing his education and pursuing a career in biotechnology and regenerative medicine. Motivated by a strong interest in scientific research, he sought opportunities to develop the technical and analytical skills necessary to contribute to translational biomedical research.
To further these goals, Achyuth Reddy was selected for the highly competitive CIRM Bridges Stem Cell Technology and Laboratory Management (SCTLM) program at California State University Channel Islands. As a CIRM Bridges trainee, he participated in scientific conferences, outreach initiatives, and educational programs that broadened his understanding of stem cell biology and its impact on society. These experiences strengthened his appreciation for public engagement and the importance of advancing awareness of the transformative potential of stem cell research.
At Stanford, Achyuth Reddy conducts research focused on regenerative medicine, biomaterials, wound healing, and fibrosis. His work has provided extensive hands-on experience in stem cell and primary cell culture, murine animal models, biomaterials research, histology, Immunohistochemistry, confocal microscopy, protocol development, and translational research. He is passionate about bridging fundamental biological discoveries with clinical applications and enjoys working in a collaborative environment where scientific discoveries have the potential to improve patient care. In addition to conducting research, he actively develops experimental protocols, presents scientific findings, and collaborates with multidisciplinary teams to advance regenerative medicine. -
Raag Airan
Associate Professor of Radiology (Neuroimaging and Neurointervention) and, by courtesy, of Materials Science & Engineering and of Psychiatry and Behavioral Sciences
Current Research and Scholarly InterestsOur goal is to develop and clinically implement new technologies for high-precision and noninvasive intervention upon the nervous system. Every few millimeters of the brain is functionally distinct, and different parts of the brain may have counteracting responses to therapy. To better match our therapies to neuroscience, we develop techniques that allow intervention upon only the right part of the nervous system at the right time, using technologies like focused ultrasound and nanotechnology.
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Ali Akbarisehat
Postdoctoral Scholar, Radiology
Current Research and Scholarly InterestsBiosensing, electrochemical sensing
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Franz Ake
Postdoctoral Scholar, Pathology
BioDr. Ake is a computational biologist specializing in single-cell transcriptomics, alternative polyadenylation, and isoform regulation. His research focuses on developing computational methods and bioinformatic pipelines to characterize post-transcriptional regulation and differential isoform usage at single-cell resolution. During his PhD under the mentorship of Dr. Mireya Plass at the University of Barcelona and the IDIBELL Research Institute in Barcelona, Spain, he developed approaches for isoform quantification and the analysis of differential isoform usage in single-cell datasets.
Currently, his research at Stanford University focuses on multi-omics data integration, with a particular emphasis on spatial transcriptomics and cancer genomics to study tumor biology, tissue heterogeneity, and disease-associated molecular programs from high-dimensional sequencing data. -
Teddy J. Akiki, MD
Clinical Assistant Professor, Psychiatry and Behavioral Sciences
Current Research and Scholarly InterestsDr. Akiki's research focuses on advancing precision psychiatry through computational neuroscience approaches. His work centers on developing transformer-based foundation models for functional neuroimaging that can predict treatment responses and symptom trajectories in psychiatric disorders. Using multimodal connectomics (combining structural, functional, and diffusion MRI), he maps neural circuits underlying stress-related conditions, with particular emphasis on identifying dysconnectivity patterns in PTSD and depression. Dr. Akiki develops novel analytical methods for neuroimaging data, including network-restricted metrics and community detection frameworks optimized for functional time series. His translational work includes neuroimaging-augmented clinical trials of novel therapeutics for treatment-resistant psychiatric disorders, with the goal of implementing data-driven, personalized interventions based on individual neurobiological profiles.
