Evan Sparks is a passionate technologist with deep expertise in distributed systems and machine learning.
While earning his PhD in Computer Science as a member of the UC Berkeley AMPLab, he contributed to the design and implementation of much of the large-scale machine learning ecosystem around Apache Spark, including MLlib and KeystoneML. He has also published numerous scientific papers. Prior to Berkeley, Evan worked as a quantitative analyst at MDT Advisers, a leading asset management firm, and on the analytics team at the start-up Recorded Future. He also holds an MS from Berkeley, an AB in Computer Science from Dartmouth College, and has been a CFA Charterholder. In his spare time, he likes golf, cooking, and occasionally still finds time to jump off of high things.