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About Me

I am a second-year Ph.D. student at the University of North Carolina advised by Dr. Colin Raffel. I am interested in the theory and application of Machine Learning techniques that remain effective in a variety settings, such as limited or unstructured training data and privacy-aware learning.

Experience

I graduated in 2018 from the University of Maryland, College Park with a degree in Computer Engineering. During my undergrad I did research at the intersection of computer security and deep learning that focused on malware detection.

After graduating I worked for a couple years at a proprietary trading firm as a software engineer.

During my Ph.D. I spent a summer interning at Adobe Research in their Audio Research Group. There, I worked with Oriol Nieto and Zeyu Jin on enhancing amateur music recordings to sound like they had been recorded in a professional environment

Publications and Preprints

Talks

If any of these presentations seem interesting and you’d like to know more, feel free to send me an email.