Ram Shankar Siva Kumar is a Data Cowboy in the Azure Trustworthy ML initiative working toward empowering engineers to develop and deploy ML systems securely. His work has appeared in industry venues like RSAC, BlackHat, Defcon, BSidesLV and academic venues like NeurIPS, ICLR, ICML, IEEE S&P and Harvard Business Review. His work has been featured in Bloomberg, Wired, VentureBeat, Business Insider and GeekWire. He graduated with two master’s degrees from CMU and is currently an affiliate at the Berkman Klein Center at Harvard University and Technical Advisory Board Member at University of Washington. He is currently working on his book, Not With A Bang But With A Sticker, with Hyrum Anderson on why securing AI systems from adversaries is the next important InfoSec imperative of our times.