Shayak Sen

When Shayak started building production grade machine learning models for algorithmic trading 10 years ago, he realized the need for putting the ‘science’ back in ‘data science’. Since then, he has been building systems and leading research to make machine learning and big data systems more explainable, privacy compliant, and fair. Shayak’s research at Carnegie Mellon University introduced a number of pioneering breakthroughs to the field of explainable AI. Shayak obtained his PhD in Computer Science from Carnegie Mellon University and BTech in Computer Science from the Indian Institute of Technology, Delhi.