Summary
Mohan Gupta is a music cognition postdoctoral researcher at Princeton University specializing in how humans learn motor skills, with a particular focus on piano learning. He combines behavioral experiments, computational modeling, and neuroimaging to probe how learned and unlearned motor representations are structured in the brain. With a PhD in Experimental Psychology from UC San Diego and eight years of research experience across UCLA and other labs, he brings deep methodological breadth—from fMRI and eye-tracking to cluster-based data analysis. Mohan also translates his science into product as the founder of MIDIScale, applying empirical insights to build more effective piano-learning experiences. Unusually for an academic, he balances rigorous lab work with hands-on startup execution, recruiting Unity developers and designers to operationalize his research. Based in the New York City area, he bridges basic cognitive neuroscience and real-world learning technology.
8 years of coding experience
5 years of employment as a software developer
University of California, San Diego
Bachelor’s Degrees, Cognitive Neuroscience & Psychology, Bachelor’s Degrees, Cognitive Neuroscience & Psychology at Michigan State University
English, French