About

Matt Feiszli is a highly skilled mathematician and technical leader with over 21 years of relevant experience in the industry. He specializes in using modern machine learning and mathematics to create innovative products and experiences. Matt has a proven track record of taking raw research and transforming it into shipping code, resulting in award-winning products. Matt is a hands-on leader who has held VP Engineering positions at Netopia (Nasdaq: NTPA), WebOrder, and other reputable companies. He enjoys mentoring and collaborating with others to achieve success. Matt's expertise lies in machine learning, Bayesian statistics, image processing, and multiscale methods. He earned his PhD in Applied Mathematics from Brown University in 2008, where he was advised by David Mumford. He is proficient in various programming languages such as C++11, Python, MATLAB, Java, SQL, and others. Currently, Matt is a Research Scientist Manager at meta, where he manages a team of researchers and engineers to develop new technologies for the company. Previously, he worked at Facebook as a Research Scientist Manager and Research Scientist. Matt's educational background includes a PhD in Applied Mathematics from Brown University and a BA in Computer Science and Psychology from Yale University. Matt's technical skills include Research Scientist, ML, SQL, Senior Software Engineer, Image Processing, Python, C++, and Java. He is a highly accomplished professional with a wealth of experience in the field.