Dr. Fahim Anjum received his Ph.D. in Electrical and Computer Engineering from the University of Iowa. His Ph.D. research was focused on decoding the brain signals (EEG, LFP) in Parkinson’s disease and analyzing computational models of neural pathways (Cortico Basal-Ganglia network) using Control theory. His work led to novel features for efficient and accurate brain decoding. He has a patent (currently pending) on the Diagnosis of Parkinson’s disease with EEG data. During his Ph.D., Fahim received the Graduate College Post-comprehensive research fellowship and was selected to be featured in the ‘Dare to Discover Campaign’ out of 150 nominations for his outstanding research at the University of Iowa. His research was featured in The Daily Iowan Newspaper and by the College of Engineering at the University of Iowa.

He is currently a postdoctoral scholar at Little Lab in the University of California San Francisco (UCSF). His research at Little Lab focuses on decoding brain signals and designing closed-loop adaptive Deep Brain Stimulation for restoring normal sleep patterns in patients with Parkinson’s Disease. In 2021, he received the Computational Innovator fellowship grant from UCSF Initiative for Digital Transformation in Computational Biology & Health. His areas of expertise are brain signal decoding, signal processing, computational models of brain networks, machine learning, and control theory. In his free time, Fahim enjoys playing musical instruments, reading novels, skiing, and playing computer games.