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Talks and Publications
2025
- From Assistant to Adversary: Exploiting Agentic AI Developer Tools, link
- From Prompts to Pwns: Exploiting and Securing AI Agents, Black Hat USA, slides
- Securing Agentic AI, NVIDIA GTC
2023
- Keep Your Enemies Closer: Understanding Reverse-Proxy 2FA Hijacking via Large-Scale Internal Red Teaming , Cisco Data Science Summit
2022
- Enhancing 2FA with IP-based Geolocation Without Blocking All Your Users, CAMLIS (Conference on Applied Machine Learning for Information Security)
- Near, Far, Wherever You Are: Geospatial Modeling for Anomaly Detection, Cisco Data Science Summit
2021
- Where We’re Going, We Don’t Need Labels: Anomaly Detection for 2FA, link
, DEFCON 29 AI Village
2019
- An Actionable Approach to Diversity and Retention, Black Hat USA
2018
- A Radiation Weather Station: Development of a Continuous Monitoring System for the Collection, Analysis, and Display of Environmental Radiation Data, link
, Health Physics Journal
Work
NVIDIA
Offensive Security Researcher - AI Red Team (2024-Present)
- Leading security research and exploit development against agentic developer software.
Duo Security
Senior Security Data Scientist (2022-2024)
- Lead threat research efforts between Cisco Duo and Talos, developed interactive platform for threat detection, coordinated detection and response of large-scale attacks
- Lead geospatial anomaly detection research
Data Scientist (2019-2021)
- Researcher and developer on Duo Trust Monitor, an anomaly detection platform.
Software Engineer (2018-2019)
- Developer on Duo’s Network Gateway, a reverse proxy server enabling zero trust secure remote access.
University of Michigan
Teaching Assistant, Computer Security (2017-2018)
- Led discussions on web security, application security, cryptography
- Redesigned entire discussion and lab curriculum to include more interactive experiences and increase student engagement
Education
Graduate - M.C.S., Data Science Track - University of Illinois at Urbana Champaign
- 2019-2021
- Relevant coursework: Applied Machine Learning, Advanced Bayesian Modeling, Practical Statistical Learning, Data Cleaning, Data Visualization, Distributed Systems
Undergraduate - B.S., Computer Science - University of Michigan
- 2014-2018
- Relevant coursework: Operating Systems, Web Systems, Computer Security