Mentoring

I mentor undergraduate students who aim to build a rigorous foundation in applied mathematics. I like to emphasize developing mathematical maturity early and cultivating the independence needed to engage seriously with theory and research. I work with students to align their academic development with long-term goals in graduate study or technically demanding quantitative careers across physics, computer science, mathematics, biology, and finance.

Current

  1. Andrew Ung, Brown University, B.S. Applied Mathematics & Computational Biology
    Jan 2026 — Present: Academic and career advising focused on positioning for biotech, with emphasis on interdisciplinary integration of applied mathematics and computational biology.

  2. Jackson Sweet, Florida Institute of Technology, B.S. Applied Mathematics & Astrophysics
    Nov 2025 — Present: Academic mentorship focused on mathematical foundations, guided readings, proof-based discussions, and structured preparation for Ph.D. study in theoretical astrophysics.

  3. Shane Gilbertie, Florida Institute of Technology, B.S. Applied Mathematics & Physics
    Sep 2025 — Present: Academic mentorship emphasizing mathematical maturity, foundational proof techniques, and long-term preparation for Ph.D. study in theoretical high-energy physics.

  4. Aadi Dash, Georgia Institute of Technology, B.S. Computer Science
    Jun 2025 — Present: Research mentorship and academic advising focused on entry into machine learning research and preparation for quantitative trading and research-oriented roles in finance.

Previous

  1. John David Abe, Georgia Institute of Technology, B.S. Mathematics & Computer Science
    Aug 2025 — Mar 2026: Advised on advanced coursework selection, research pathway development, and positioning for quantitative developer and quantitative research roles, including technical resume refinement and strategic career planning.