Jacob Elafandi

About Me
I'm a Ph.D. in Mathematics at UC Berkeley (2026), focusing on applied mathematics and numerical analysis. My advisor was Franziska Weber.
My research focused on developing numerical schemes for the Q-tensor and director field flow of liquid crystals.
I served as a Mathematics Graduate Student Association officer from 2022 until stepping down to focus on research in 2025. I handled the organization's finances and provided technical support.
I was an algorithm development (quantitative research) intern at Hudson River Trading in 2025.
I graduated from the University of Minnesota with B.S. degrees in Computer Science and Mathematics in 2019.
Teaching
Courses I've taught include:
- Spring 2026: Math 128A (Numerical Analysis)
- Fall 2025: Math 55 (Discrete Mathematics)
- Spring 2025: Math 128A (Numerical Analysis)
- Spring 2025: Math 228B (Numerical Solutions of Differential Equations
- Fall 2024: Math 170 (Mathematical Methods of Optimization)
- Summer 2024: Math N1A (Calculus)
- Spring 2024: Math 55 (Discrete Mathematics)
- Fall 2023: Math 228A (Numerical Solutions of Differential Equations)
- Fall 2023: Math 1A (Calculus)
- Spring 2023: Math 170 (Mathematical Methods of Optimization)
- Fall 2020–Fall 2022: Hiatus due to my work at NERSC
- Spring 2020: Math 10B (Calculus, Statistics, and Combinatorics)
- Fall 2019: Math 10A (Calculus, Statistics, and Combinatorics)
Pages
Contact Me
| Email: | ela@fandiberk@eleyedu |