About Me

I am a Senior Data Scientist at Duo Security , where I’ve worked since 2018. My current research involves the detection of fraudulent authentications.

I attended the University of Michigan, where I obtained a B.S. in Computer Science. While there, I also studied physics and music, made a pretty cool radiological measurement system , and had the opportunity to teach Computer Security .

In December 2021, I completed a Master’s in Computer Science and Data Science at the University of Illinois.

I also enjoy playing music with friends, and am the co-host of a silly podcast .

Research Interests

My current work is focused on using a combination of models for authentication anomaly detection. This work was presented at the AI Village of DEFCON 29.

I’m also interested in the intersection of data and misinformation, as well as public policy and climate change. I am passionate about diversity and inclusion, and making our industry a little less terrible .