I am an MS student in the Neural Engineering program at Pitt. After majoring in Chemical Engineering at UC Berkeley, I joined a Y Combinator-backed quantum computing startup. I discovered my passion for neuroengineering while pursuing a role in clinical research at UCSF. Previously, I was involved in VR development with a Brazilian startup. In my free time, I write for Physics World (https://physicsworld.com/author/arjan-singh-puniani/) as a graduate student contributor.
Research Interest Summary
Brain-Computer Interfaces, Neuroprosthetics, machine learning, sensorimotor control
Research Interests
My semester project involves gamifying standard calibration tasks for closed-loop brain-controlled prosthetics. My overall goal is to explore, innovate, and design robust and reliable brain-computer interfaces (BCIs) and hardware subsystems in neuroprosthetics that restore function. My most recent research interests have been:
- Applying state-of-the-art methods to neuro-physiological signal processing and analysis
- Collecting, analyzing, and managing complex multimodal physiological datasets in MATLAB
- Hidden Markov models (and other machine learning techniques) to segment neural data collected from probe and array BCIs