Ania Kacewicz, a data scientist on Splunk's Machine Learning for Security team, holds a BS from UT Austin and an MS/PhD from Cornell University, all in ECE with a focus on applied math. With over 10 years of experience in cybersecurity, including roles at JHU APL and DARPA, she specializes in distributed, machine learning-based algorithms for detecting suspicious behaviors in cyber data. Outside work, she enjoys hiking, running, concerts, and keeping updated on new machine learning trends.