Cambrian Pearl

Muralidhar Ravuri, PhD (MIT) is an engineer who is passionate about modeling and designing structured complex systems and has a keen interest in abstract mathematics, control systems and AI/machine learning. Murali’s interest in math started very early on when he was ranked first in the Indian National Mathematical Olympiad in 1988 and represented India in the International Mathematical Olympiad. Later, he started enjoying working with physical systems. He pursued a bachelor’s in mechanical engineering at IIT Madras, India where he implemented a control algorithm for a prototype missile launcher entirely in assembly language on a micro-controller. At University of Houston, he received an MS in mechanical engineering in the area of structural optimization. Murali received a PhD in mechanical engineering from MIT in the area of uncertain feedback control systems with a minor in mathematics. Murali worked as a postdoctoral associate at MIT, a software engineer at Siebel Systems (now acquired by Oracle), at SQLstream, at PayPal, at Netflix, in Uber self-driving and at Curai. At Netflix, he developed an interest in applied machine learning and implemented several state-of-the-art ML algorithms for recommending movies to users. At Uber ATG, he worked on perception for self-driving cars, where he implemented deep learning algorithms for object detection and tracking. At Curai, he is applying the newer deep learning/AI techniques to healthcare. In parallel, he has been trying to model large-scale structured dynamical systems, especially biological systems. One of his ambitious and passionate goals is to construct a synthetic conscious system using his new theory presented in this book.