Stanford University
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Arvin Eslami
Research Associate, Medicine - Med/Immunology & Rheumatology
Current Role at StanfordResearch Associate at Stanford University School of Medicine. His work focuses on clinical and translational research in lymphoma and cellular therapy, with an emphasis on integrating clinical outcomes, tissue- and pathology-based analyses, and biomarker data to study treatment response, resistance, and toxicity. He contributes to the design, coordination, execution, and analysis of research studies, including patient cohort identification, clinical data curation, database development and management, literature synthesis, and preparation of abstracts, manuscripts, systematic reviews, and meta-analyses.
July 2025 – Present -
Aryan Esmaeili
Instructor (Affiliated), Psych/Public Mental Health & Population Sciences
BioMy research bridges Veteran mental health, brain injury, and computational neuroscience through the development of artificial intelligence (AI), machine learning (ML), and real-world data methods to improve cognitive and rehabilitation outcomes among high-risk Veteran populations. My work focuses on the intersection of traumatic brain injury (TBI), neurodegeneration, substance use disorders, and psychiatric comorbidities, with an emphasis on understanding heterogeneous cognitive trajectories among Veterans. At the C-BRAIN Lab, I collaborate on computational approaches that integrate multimodal electronic health record (EHR) data, neuropsychological assessments, clinical narratives, and longitudinal health outcomes to better characterize cognitive impairment and recovery processes. My current research develops AI/ML phenotyping methods to distinguish potentially reversible cannabis-related cognitive impairment from progressive neurodegenerative disorders using large-scale Veterans Health Administration (VHA) data.
My long-term research goal is to advance precision rehabilitation and cognitive health strategies for Veterans with complex neurological and psychiatric conditions, including TBI and spinal cord injury (SCI). By combining computational neuroscience, causal inference methods, and patient-centered outcomes research, I aim to identify high-risk individuals earlier, improve cognitive outcome measurement, and inform more effective rehabilitation and mental health care strategies within and beyond the VA healthcare system.
