Dianhuan Lin

Track Host: Dianhuan Lin

Staff Engineer @Datadog, Previously CTO and Co-Founder of Culminate and Director of Machine Learning @Zscaler

Dr. Diane Lin is a Tech Lead at Datadog, where she leads product development on self-evolving AI agents for the modern SOC. She was previously CTO and Co-founder of Culminate (acquired by Datadog), where her AI security analysts augmented human teams to place top 3 at DEFCON's CTRL+ALT+DETECT competition (formerly OpenSOC), a real-world benchmark for AI-driven threat detection under pressure.

Prior to founding Culminate, Diane was Director of Machine Learning at Zscaler, leading the development of ML-based large-scale threat detection models. Before that, she was a founding scientist on the Amazon Alexa question-answering team and a senior researcher at robotics startup Vicarious (acquired by Google DeepMind). She holds a PhD in Machine Learning from Imperial College London with research affiliations at MIT's CSAIL and is an inventor on multiple patents and an active mentor in the AI and cybersecurity communities.

Track

Eval Platforms & Guardrails for Agentic AI Systems

Discover how teams are building evaluation systems, feedback loops, and safety mechanisms to make AI-powered systems reliable and trustworthy.

Date

Tuesday Apr 13 / 10:35AM BST

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