Stanford University
Showing 181-200 of 12,892 Results
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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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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.
