Amir Aghdam — Machine Learning Researcher

Amir Aghdam — Machine Learning ResearcherMachine Learning Researcher at Thomas Jefferson Hospital, Philadelphia, PA. Developing modern AI solutions for neuroscience and neurosurgery.AboutM.S. in Computer Science from Temple University. Research in multi-modal learning, vision-language models, large language models, and agentic AI applied to neuroscience. Research Associate in Neurosurgery at Thomas Jefferson Hospital.Research

Deep Brain Stimulation — Characterizing STN/GPi network activations in Parkinson's disease

Agentic AI in Epilepsy Care — LLM-powered treatment recommendation agents

Diffusion Tractography — Mapping white matter tracts and structural rewiring

Neural Gait Prediction — Deep learning for movement disorder analysis

Publications

A Dynamic Analysis Pipeline for Temporal Characterization of Deep Brain Stimulation Effects on Functional Brain Networks in Parkinson Disease (2026)

Mapping the Mechanical Fingerprint of Parkinson's Disease via MRE (2026)

Brain Viscoelasticity Tracks Functional and Microstructural Disruption in Parkinson's Disease (2026)

ActAlign: Zero-Shot Fine-Grained Video Classification via Language-Guided Sequence Alignment (2025, TMLR)

Experience

Research Associate, Thomas Jefferson Hospital — Neurosurgery (2025–Present)

Graduate Researcher, Temple University (2023–2025)

ContactEmail: contact@amiraghdam.comGitHub | Google Scholar | LinkedIn | Medium