Stanford University
Showing 491-500 of 34,508 Results
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Daniel Akerib
Professor of Particle Physics and Astrophysics
BioResearch interests:
Dan Akerib joined the department in 2014 with a courtesy appointment, in conjunction with a full-time appointment to the Particle Physics & Astrophysics faculty at SLAC. He has searched for WIMP dark matter particles since the early 1990s, first with the Cryogenic Dark Matter Search and more recently with the LUX and LUX-ZEPLIN projects. His current interests are in extending the sensitivity to dark matter through expanding and improving time projection chambers that use liquid xenon as a target medium. Together with Tom Shutt, he has led the establishment of a Liquid Nobles Test Platform at SLAC. The group specializes in detector development, xenon purification, and simulations, and has a broad range of opportunities for graduate and undergraduate students to participate in hardware and software development, as well as data analysis.
Career History:
- AB 1984, University of Chicago
- Ph.D. 1990 Princeton University
- Research Fellow, California Institute of Technology, 1990 - 1992
- Center Fellow, Center for Particle Astrophysics, UC Berkeley 1993 - 1996
- Assistant Professor, Case Western Reserve University, 1995-2001
- Associate Professor, Case Western Reserve University, 2001-2004
- Professor, Case Western Reserve University, 2004-2014
- Chair, Case Western Reserve University, 2007-2010
- Associate Lab Director (interim), Fundamental Physics Directorate, SLAC, 2023 -2024
- Spokesperson, XLZD Collaboration, 2025-2026
- Professor, Particle Physics & Astrophysics, SLAC 2014 - present
- Professor, by courtesy, Physics, Stanford University, 2014 - present -
ayla Akgul
Student Services Manager, Applied Physics
Current Role at StanfordStudent Services Manager, Department of Applied Physics
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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.
