About

I am a Senior Data Scientist at Duo Security on the Algorithms team working to enhance how we provide simple, powerful access security by improving our threat and anomaly detection methodology. I've previously worked at Human Security (née White Ops) identifying and stopping bot activity impersonating Connected TV devices (e.g. smart TVs, streaming devices/services) to commit ad fraud, and at Gartner building their internal document search ranking models.

My previous life had me complete a Ph.D. in experimental nuclear astrophysics at the University of Notre Dame's Nuclear Science Lab and earning a B.S. in astrophysics and a B.S. in physics from Michigan State University's Lyman Briggs College.

My current interests include anomaly detection in the security space, and creating usable products from those detections. My multi-disciplinary background supports my creative problem solving (ask me how I stopped multiple botnets using astrophysics), and I am always willing to learn more from the people and teams around me.