Artificial Intelligence Graduate Researcher at MIT Media Lab
Neil Gaikwad is an inventor and a TEDx Speaker. His research falls at the interface of human-centered artificial intelligence and data science (interactive machine learning, non-parametric Bayesian inference), engineering of economics (market-incentive design), and human-computer interaction (design thinking, crowd-computing systems)— with an emphasis on design, computational modeling, and engineering of self organizing socio-technical systems. This work is motivated to advance the emerging fields of computational sustainability and human-AI collective intelligence, while solving REAL pressing societal challenges related to crisis response, a sharing-economy design, agriculture, and future of human-AI creative work. It has published in top-tier computer science conferences (AAAI, ACM UIST, ACM CSCW) and a scientific journal (PNAS), and featured in the New York Times, Bloomberg, WIRED, and the Wall Street Journal.
Neil is one of the principal creators of Daemo, a Self Governed Open Sourced Crowdsourcing Marketplace. He was also one of the principal creators and founding members of EteRNA, crowdcomputing game that harnesses human creativity with machine learning to help invent medicine. EteRNA has reached over 100,000 citizen scientists across the world.
One of the major missions of his life is to democratize the STEM opportunities for people across the globe. In this pursuit, he moved back to academia after spending half a decade in the mathematical finance industry (Wall Street).