$john@website:~% whoami
john

$john@website:~% ls
about.md    cv.md    research.md    me.png

$john@website:~% open me.png && cat about.md

Hi 👋

I am a fifth-year Computer Science PhD student at Northeastern University, advised by Jonathan Ullman and Alina Oprea. Prior to my PhD, I completed my B.S. in Pure Math at Florida State University, where I wrote my honors thesis under the guidance of Alec Kercheval and Nathan Crock

My research primarily focuses on trustworthy machine learning, with an emphasis on empirically measuring privacy and security risks of deep learning models 🔒. More broadly, I am interested in topics such as memorization, differential privacy, adversarial machine learning, and AI safety.

I have held multiple industry research positions, most recently as a Student Researcher at Google where I worked on machine unlearning and as an Applied Research Intern on LinkedIn’s Data Privacy team where I worked on measuring leakage from statistical queries and LLMs. I have also held roles in software engineering and data science at Intuit and NewSci Labs, respectively.