Work

Duo Security

Senior Data Scientist

• Senior researcher on Duo’s Algorithms Research team, leading research initiatives for model improvement.
• Leading geospatial anomaly detection research, from initial literature review through current deployment and development.
• Coordinating and collaborating with product and leadership on customer discussions to guide future product directions.

Data Scientist (2019-2021)

• Researcher and developer on Duo Trust Monitor, an anomaly detection platform.
• Continuously iterated on threat detection models to improve detection precision, including geospatial modeling research and automated model drift detection.
• Developed features within Scala pipeline, PySpark.
• Co-presented at DEFCON 29 AI Villiage

Software Engineer (2018-2019)

• Developer on Duo’s Network Gateway, a reverse proxy server enabling zero trust secure remote access.
• Developed features in Python, as well as a client in Go.
• Mentored interns, led technical interview training, led workshops on Go and Python Twisted development.

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

Research Assistant, Radiation Health Lab (2015-2017)

• Developed system for continuous data collection from radiation weather station
• Presented system design at 2016 Health Physics conference

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

Talks and Publications

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 link , 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