Geoff Pleiss is a post-doctoral researcher in machine learning and statistics at Columbia University, with a focus on Gaussian processes and deep learning. He received his Bachelor of Engineering in Applied Mathematics from Franklin W. Olin College of Engineering and his Doctor of Philosophy in Computer Science from Cornell University. Pleiss previously worked as a Software Engineering Intern at Pivotal Labs and conducted research as a Student at Franklin W. Olin College of Engineering and Research Intern at Otherlab. He is also known for his occasional tweets on relevant topics in machine learning.