Behavioral economist Sendhil Mullainathan finds joy in new ideas, likening it to the pleasure of tasting a delicious cookie.He values discovering novel perspectives and breakthroughs in his work and research at MIT in Economics and Electrical Engineering.Mullainathan's unconventional thinking style, out of sync with the norm, has been beneficial to his research endeavors.His childhood experiences of financial scarcity shaped his interest in behavioral economics, studying human behavior in economic decision-making.Mullainathan's research on poverty's impact on cognitive function garnered widespread attention and influence in policy-making.He emphasizes the importance of algorithms in understanding human behavior and advancing personal insights and self-awareness.Mullainathan returned to MIT to delve into artificial intelligence and machine learning, aiming to expand human abilities through technology.He envisions AI assisting decision-makers by providing insights based on average decisions, free from daily influences and biases.Mullainathan believes in the future breakthroughs at the intersection of human understanding and algorithmic advancements.He is enthusiastic about exploring new ideas and believes in the potential of algorithms to enhance human capabilities and decision-making processes.