About

Lawrence McAfee is a highly skilled Research Scientist with a focus on Machine Learning (ML) and Deep Learning. He currently works at NVIDIA as an Applied Deep Learning Research Scientist, where he applies his expertise to develop innovative solutions for complex problems. With over 5 years of relevant experience, Lawrence has established himself as a leading authority in his field. Prior to joining NVIDIA, Lawrence worked as an Independent/Consulting ML & Deep Learning Scientist, where he honed his skills and developed a deep understanding of the industry. He also worked as a Graduate Research Assistant at Stanford University, where he contributed to the development of EMEURO, a deep learning-based framework for emulating and accelerating applications. This project achieved up to 109X speedup with less than 3% error, and was published in CGO 2015. Lawrence holds a Doctor of Philosophy (PhD) in Electrical and Electronics Engineering, as well as a Master of Engineering (MEng) in the same field, both from Stanford University. He also holds a Bachelor of Engineering (B.E.) in Electrical and Electronics Engineering from the University of Michigan. Lawrence's technical skills include expertise in Research Science, Deep Learning, ML, and Image Processing. He is a highly analytical and detail-oriented individual, with a passion for solving complex problems. His ability to think outside the box and develop innovative solutions has made him a valuable asset to any team he works with. Overall, Lawrence McAfee is a highly skilled Research Scientist with a strong background in ML and Deep Learning. With his impressive academic credentials and extensive industry experience, he is well-positioned to make significant contributions to any organization he works with.