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.

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. John David Abe, Georgia Institute of Technology, B.S. Mathematics & Computer Science
   Aug 2025 — Present: 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.

5. 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.