• GRADUATE ASSISTANT | Graduate School of Biomedical Sciences
  • GRADUATE STUDENT | Graduate School of Biomedical Sciences

Research Topics:

Biomechanics/Bioengineering, Computational Neuroscience, Depression, Electrophysiology, Neural Networks, Neuromodulation, Neuroscience, Systems Neuroscience, Translational Research

Muhammad Furqan Afzal has an undergraduate degree in Electrical Engineering. After finishing his undergraduate education, he did a Masters in Electrical Engineering (Computational Neuroscience) during which he worked on building computational models of volitional motor control. He also worked at an auditory neuroscience lab in Cincinnati Children's Hospital Medical Center and his work involved automation of visual reinforcement audiometry. He has also worked as a Research Engineer at Stanford University School of Medicine in the Movement Disorders Center (Bronte-Stewart lab), where he developed algorithms for adaptive deep brain stimulation in Parkinson's disease. Currently, he is a PhD student in Neuroscience (Computational Neuroscience focus) in Dr. Kanaka Rajan and Dr. Helen Mayberg's labs where he is involved in building machine learning models to understand brain state transitions and circuit mechanisms involved in decision-making and various neurological/psychiatric disorders.

Multi-Disciplinary Training Area

Neuroscience [NEU]