Marcus Lewis

Marcus Lewis is a distinguished researcher specializing in machine learning and neuroscience, with a keen focus on understanding the computational principles of the brain.

His current research delves into unraveling how the brain processes physical space, uncovering the simplicity and intricacies behind tracking spatial variables during spatial and non-spatial tasks.

By dissecting the neural circuitry involved and exploring a spectrum of possible neural algorithms, Marcus aims to enhance contemporary AI systems and decipher how the human brain interprets the surrounding environment.

Marcus Lewis pursued his academic journey by earning a Bachelor of Science (BS) degree in Computer Science from the esteemed University of Michigan.

Throughout his career, he has contributed his expertise at various organizations, holding roles such as a Researcher and former Algorithms Intern at Numenta, where he delves deep into the intersection of machine learning and neuroscience.

His earlier experiences include positions at Microsoft, where he served as a Tester, Software Engineer, and SDET Intern on the IE Team, showcasing his versatility and proficiency in the tech industry.