Dr. Sanjoy Dasgupta serves as Professor of Computer Science and Engineering at the University of California San Diego, where he has revolutionized the field of algorithmic statistics and unsupervised learning since joining in 2002. Born in Rome and educated in New York City, he earned his A.B. from Harvard in 1993 and Ph.D. from UC Berkeley in 2000, followed by two years at AT&T Labs-Research. His groundbreaking research combines algorithmic theory with geometry and mathematical statistics, focusing on developing efficient algorithms for high-dimensional data analysis and clustering. He is particularly renowned for his work on unsupervised learning, where he explores how machines can learn from their environment with minimal supervision, mimicking human learning processes. His influential textbook "Algorithms," co-authored with Papadimitriou and Vazirani, is widely used in undergraduate courses worldwide. His contributions have earned him significant recognition in the field, particularly for developing the first provably correct, efficient algorithms for various statistical tasks, especially in data clustering and pattern recognition