Stanford University
Showing 181-200 of 13,025 Results
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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 statistical machine learning methods for analyzing complex, high-dimensional clinical, biomedical, and population health data. His work centers on predictive modeling, AI in healthcare, supervised feature selection, and dependence-aware methods, including copula-based approaches. At the HEAL Lab, his current focus is on analyzing clinical workflows and AI implementation in healthcare systems, with an emphasis on practical, interpretable, and 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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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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Javier Ajenjo Barcenas
Visiting Instructor/Lecturer, Radiology - Rad/Molecular Imaging Program at Stanford
BioJavier received his MSci from the University Complutense in Madrid (Spain). He then moved to Prague (Czech Republic) where he earned his PhD degree in Chemistry from Univerzita Karlova under the supervision of Dr Petr Beier at IOCB, working on the synthesis and derivatization of hypervalent sulfur fluorides. During this period, he also took part as ESR of FLUOR21 initial training network led by Prof Graham Sandford (Durham University) and collaborated with F2 Chemicals Ltd. Later, he joined the University of Oxford (UK) as a postdoctoral research fellow to work on the synthesis and biological evaluation of F18-labeled ATM inhibitors under the supervision of Prof Bart Cornelissen. In 2021, he joined Ferrara lab as a postdoctoral scholar to work on the development of radiochemistry methods and the synthesis of therapeutics for medical imaging.
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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.
