Drew Farris is a principal in Booz Allen’s artificial intelligence and machine learning practice with over 9 years of experience building advanced analytics for the firm’s public sector clients. Before joining Booz Allen, Drew spent more than 12 years working with academic research teams and several startups building information retrieval, machine learning, and large-scale data management platforms. He has co-authored a variety of publications including Booz Allen’s “Field Guide to Data Science” and “Machine Intelligence Primer,” and Taming Text, the 2013 Jolt Award-winning book on computational text processing. He is a member of the Apache Software Foundation and has contributed to a number of open source projects including Apache Mahout, Lucene, and Solr.
With an eye toward strategic innovation, Drew's work at Booz Allen has long focused on emerging technologies such as big data, cloud computing, data science, and artificial intelligence. He supports a diverse collection of the firm's clients across the public and private sectors. Outside of client delivery, he is focused on the firm’s artificial intelligence technical agenda, especially where it intersects with research and development, cloud architectures, and modern software development practices. He serves as a technical liaison with key strategic partners such as NVIDIA and Microsoft.
Drew holds a master's degree in information resource management from Syracuse University's iSchool, and a B.F.A. in computer graphics. He is a certified instructor at NVIDIA's Deep Learning Institute.
