Instructor Adi Chander Builds Computational Models Of The Brain To Understand The Way Music Moves Us
RESEARCH IN AI
Aditya Chander is a Ph.D. student at Yale, applying AI, psychology, and neuroscience to music. He is mostly interested in computational modeling of music, in addition to the perception and cognition of musical structures. He's excited to see these fields heading in the direction of brain-computer interfaces (BCI), especially with applications in music therapy.
STUDENTS
AI can get complicated, but Adi is great at making sure every student understands the material.
"Adi put in a lot of effort to make sure that all four of us understood every concept. I never left the class feeling lost or confused about what was taught. One thing that I liked the most about his teaching style was the manner in which he used to check if we were comfortable with a concept."
HOW DID YOU DECIDE WHAT TO STUDY IN COLLEGE? WHEN DID AI BECOME A PART OF YOUR RESEARCH?
I was between studying math and music in college and ended up settling for music. Nonetheless, I was always interested in the intersection between music and the sciences, which led me to take some AI classes during my master’s and Ph.D. and eventually working at the intersection of music, psychology, and AI.
ADVICE TO STUDENTS?
I encourage you to give it a go, as you never know where it might take you! You don't need to approach it from a "traditional" path, either – for example, I didn't start coding until I was 23. If you have a problem that you're really excited to solve, that's usually the best place to start.
