Summary
Prashanth Prakash is a PhD candidate in Biomedical Engineering at Northwestern University with nine years of experience applying machine learning and advanced signal processing to neural data, brain-computer interfaces, and speech decoding. He has led human intracranial ECoG studies, collaborated closely with clinicians, and built multimodal pipelines that fuse EMG and neural signals to improve neural-to-text decoding using PyTorch. His work blends rigorous artifact rejection, time-frequency feature optimization, and model generalization to tackle real-world neurotech challenges. Comfortable with Python, MATLAB, TensorFlow, and SQL, he translates neuroscience experiments into deployable ML solutions for healthcare applications. Prashanth is particularly driven by restoring function for neurological patients and by making BCI systems clinically robust as he completes his PhD in 2025.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Technology - BTech, Electrical and Electronics Engineering, Bachelor of Technology - BTech, Electrical and Electronics Engineering at Vellore Institute of Technology
Master's degree, Electrical Engineering, Master's degree, Electrical Engineering at University of Pennsylvania