School of Medicine
Showing 191-200 of 567 Results
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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
Assistant Professor of Psychiatry and Behavioral Sciences (General Psychiatry and Psychology)
Current Research and Scholarly InterestsDr. Akiki's research applies artificial intelligence to neuroimaging to improve psychiatric assessment and treatment selection, with a focus on depression, anxiety, and stress-related disorders. His program develops foundation models for functional MRI, pretrained on large neuroimaging datasets and adapted to predict treatment response and symptom trajectories in clinical populations. He also uses multimodal connectomics, combining structural, functional, and diffusion MRI, to characterize the circuit dysfunction underlying these disorders. His translational work centers on clinical trials of novel and repurposed treatments that target specific brain circuits, with neuroimaging used to measure circuit-level treatment effects and identify predictors of response. In parallel, he develops clinical decision support tools that translate an individual patient's neuroimaging into brain-based markers that clinicians can use in treatment planning.
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Chidi Akusobi
Fellow in Peds/Clinical Informatics
BioDr. Chidi Akusobi is a physician-scientist completing dual fellowship training in Infectious Diseases and Clinical Informatics at Stanford University School of Medicine. He holds an MD and a PhD in Microbiology from Harvard Medical School and completed internal medicine residency at Massachusetts General Hospital. His research sits at the intersection of AI and infectious diseases, with a focus on developing and evaluating AI-enabled tools that strengthen infectious disease practice. Current project interests include clinical decision support for infection prevention and control, AI-backed electronic consultation for infectious diseases, and the application of ChatEHR to ID-specific chart review.
