Alex Gittens is an associate professor at Rensselaer Polytechnic Institute who focuses on the statistical and computational challenges of extracting information from large high-dimensional data. With 12 years of research and teaching experience, he moved from industry research labs to academia, holding roles at eBay Research Labs and the International Computer Science Institute before joining RPI as an assistant professor and later advancing to associate professor. He earned a PhD in Applied and Computational Mathematics from Caltech and a BS in Electrical Engineering from the University of Houston, equipping him with a strong mathematical and engineering foundation. His work spans theory and practice, combining rigorous statistical methods with scalable computational techniques to turn vast datasets into actionable insights. Based in the City of Troy, New York, he collaborates across departments to advance data-driven science and education.
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