Ram Shankar is a data cowboy on the Azure security data science team at Microsoft, where his team focuses on modeling massive amounts of security logs to surface malicious activity. His work has appeared in industry conferences like DEF CON, BSides, BlueHat, DerbyCon, MIRCon, Infiltrate, and Strata as well as academic conferences like NIPS and ACM-CCS. Ram holds a degree focused on machine learning and security from Carnegie Mellon University. He’s currently an affiliate at the Berkman Klein Center at Harvard, exploring the intersection of machine learning and security.
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