I am a first-year Computer Science PhD Student at Northeastern University, where I am advised by Jonathan Ullman and Alina Oprea. I completed my B.S. in Pure Mathematics at Florida State Univerity and completed my undergaduate thesis under the guidance of Alec Kercheval and Nathan Crock.

My academic interests generally lie within the intersection of theoretical computer science and machine learning. I am also interested in differential privacy within the context of deep learning and the social implications of machine learning algorithms.

Last summer, I worked as a Software Engineer intern at Intuit, where I worked on new features for the Money by QuickBooks app.

Brief Background


  • Doctor of Philosophy in Computer Science, Northeastern University, 2021 - Present (3.84/4.00)
  • Bachelor of Science in Mathematics, Florida State University, 2021 (3.79/4.00)
    • Honors Thesis: “A Standardized Approach to Studying the Double Descent Phenomenon”

Technical Experience

  • Software Engineer Intern, Sphero (Boulder, CO), Summer 2019
  • Machine Learning Intern, NewSci, LLC (Tallahassee, FL), Fall 2019 - Spring 2021
  • Software Engineer Intern (iOS), Intuit (Mountain View, CA), Summer 2020
  • Software Engineer Intern (iOS), Intuit (Mountain View, CA), Summer 2021

Teaching Experience


  • Python, C++, Swift, JavaScript, MATLAB, Latex


  • PyTorch, Opacus, sci-kit learn, NumPy, Asyncio, Pandas, Keras, OpenCV, Matplotlib, PIL, Linux, Git, Jira, Jupyter, SQL, GraphQL


  • The Double Descent Phenomenon, MAP 6939 - Advanced Seminar in Applied Mathematics (Machine Learning Seminar)


  • HSF Scholar (2019, 2020, 2021)
  • President’s List (Fall 2017, Fall 2018, Fall 2020)
  • Dean’s List (Spring 2019, Fall 2019, Spring 2020, Spring 2021)
  • Honors in the Major, Mathematics
  • President, Society of Undergraduate Mathematics Majors (SUMS) at FSU