Aditya Mukerjee is an engineer, statistician, entrepreneur, and investor based in New York City. He studied statistics at Columbia and computer science at Cornell, and participated in a batch at the Recurse Center.
By day, he works on the Observability team at Stripe, where he writes open-source software written in Go. He spends his free time playing German-style board games and listening to embarrassing music.
January 24th, 2018 | 54 mins 40 secs
In this episode, Aditya Mukerjee talks about algorithmic decision making in machine learning and AI, recognizing the effects of bias, and storytelling in software and engineering.