Ram Shankar Siva Kumar is Principal Program Manager in Azure Trustworthy ML initiative working towards empowering engineers to develop and deploy ML systems securely. His work has appeared in industry venues like RSA, Defcon, BSidesLV, BlueHat, DerbyCon, MIRCon, Infiltrate, and academic venues like NeurIPS, ICLR, ICML, ACM-CCS, IEEE S&P, and Harvard Business Review. His work has been featured in Bloomberg, Wired, VentureBeat, Business Insider and GeekWire. He is the Founder of Security Data Science Colloquium where ML engineers from every major cloud security team congregate. He graduated with two master’s degrees from Carnegie Mellon University and is currently an Affiliate at the Berkman Klein Center at Harvard University and Technical Advisory Board Member at University of Washington.