Curriculum Vitae
Here is a downloadable .pdf copy of my CV. (last updated: July 2024)
Education
Year | Experience | Location |
---|---|---|
2023-2028 | PhD in Mathematics | Emory University |
2023-2028 | MS in Computer Science | Emory University |
2021-2023 | MS in Mathematics | Tufts University |
2016-2020 | BS in Biological Engineering | Cornell University |
Conferences, Workshops, and Talks
For a complete list of talks/presentations, please see Talks page.
Invited Talks
- "Discovering Hierarchical Matrix Structure Through Recursive Tensor Decomposition," Joint Mathematics Meetings, 2023, Boston, MA.
- "It's Tensor Time!: A computational Framework for Analyzing Structured Matrices," Tufts Monday Math Meetings, 2022, Medford, MA.
Workshops and Confrences Attended
- "Conference on Fast Direct Solvers", Purdue University, November 4 - 5, 2023.
- "Acceleration and Extrapolation Methods", ICERM, 2023, Providence, RI.
- "Qiskit Global Summer School: Theory to Implementation," IBM, 2023, Virtual.
- "Geometry and Analysis Seminar for Boston Area Graduate Students," MIT Math, 2023, Cambridge, MA.
- "Joint Mathematics Meetings," 2023, Boston, MA.
- "Qiskit Global Summer School: Quantum Simulation," IBM, 2022, Virtual.
- "Geometry and Analysis Seminar for Boston Area Graduate Students," MIT Math, 2022, Cambridge, MA.
Research Experience
Lawrence Berkeley National Laboratory
- Visiting Graduate Student Researcher, May 2024 - August 2024
Teaching Experience
Emory University
- Teaching Assistant
- Math 210 - Advanced Calculus for Data Sciences (Fall 2024)
- Math 315 - Numerical Analysis (Spring 2024)
- Directed Reading Program Mentor
- Introduction to Functional Analysis (Fall 2024)
- Introduction to Stochastic Processes (Spring 2024)
- Introduction to Stochastic Processes (Fall 2023)
- Introduction to Iterative Methods for Inverse Problems (Fall 2023)
- Course Assistant
- Math 351 - Partial Differential Equations (Fall 2023)
Tufts University
- Teaching Assistant
- Math 126 - Numerical Linear Algebra (Spring 2023)
- Directed Reading Program Mentor
- Introduction to Mathematical Control Theory (Fall 2022)
- Course Assistant
- Math 125 - Numerical Analysis (Fall 2022)
- Math 32 - Calculus I (Spring 2022)
Cornell University
- Undergraduate Teaching Assistant
- BEE 2600 - Introduction to Biological Engineering (Fall 2018)
Honors and Awards
- The Piedmont TATTO Fellowship for Sustainability and Curriculum Development
- The Fuertes Medal Memorial Prize for Public Speaking
Memberships
Relevant Coursework
Emory Math Courses
Course | Professor | Semester |
---|---|---|
CS 526 - Algorithms | Prof. Michelangelo Grigni | Fall 2023 |
Math 500 - Probability | Prof. David Borthwick | Fall 2023 |
Math 571 - Numerical Optimization | Prof. Matthias Chung | Fall 2023 |
Math 789 - Tensor Decompositions | Prof. Elizabeth Newman | Fall 2023 |
CS 524 - Theory of Computing | Prof. Michelangelo Grigni | Spring 2024 |
Math 517 - Iterative Methods | Prof. Yuanzhe Xi | Spring 2024 |
Math 550 - Functional Analysis | Prof. David Borthwick | Spring 2024 |
Phys 731 - Random Matrix Theory | Prof. Ilya Nemenman | Spring 2024 |
CS 534 - Machine Learning | Prof. Eugene Agichtein | Fall 2024 |
CS 551 - Systems Programming | Prof. Kenneth I Mandelberg | Fall 2024 |
CS 584 - Spatial Data Algorithms | Prof. Andreas Zufle | Fall 2024 |
Tufts Math Courses
Course | Professor | Semester |
---|---|---|
Math 87 - Math modelling | Prof. Arkadz Kirschtein | Fall 2021 |
Math 135 - Real Analysis I | Prof. Patricia Garmirian | Fall 2021 |
Math 145 - Abstract Algebra I | Prof. Sebastian Bozlee | Fall 2021 |
Math 136 - Real Analysis II | Prof. Todd Quinto | Spring 2022 |
Math 225 - Numerical Analysis | Prof. Misha Kilmer | Spring 2022 |
Math 235 - Analysis I | Prof. Kasso Okoudjou | Fall 2022 |
Math 255 - Partial Differential Equations I | Prof. James Adler | Fall 2022 |
Math 295/6 - Master's Thesis I/II | Prof. Xiaozhe Hu, Prof. Misha Kilmer | Fall 2022/Spring 2023 |
Math 233 - Complex Analysis | Prof. Fulton Gonzalez | Spring 2023 |
Math 256 - Partial Differential Equations II | Prof. Bruce Boghosian | Spring 2023 |
Cornell Math Courses
Course | Professor | Semester |
---|---|---|
Math 1920 - Multivariate Calculus for Engineers | Prof. Kelly Delp | Spring 2017 |
Math 2930 - Differential Equations for Engineers | Prof. Richard Rand | Fall 2017 |
Math 2940 - Linear Algebra for Engineers | Prof. Damek Davis | Spring 2018 |
Math 3320 - Intro to Number Theory | Prof. Brian Hwang | Fall 2018 |
Math 4280 - Intro to PDEs | Prof. Gennady Uraltsev | Spring 2019 |
Math 4220 - Applied Complex Analysis | Prof. Richard Rand | Fall 2019 |
Math 4370 - Computational Algebra | Prof. Karola Meszaros | Fall 2019 |
Math 4250 - Numerical Differential Equations | Prof. Alexander Vladimirsky | Fall 2019 |
Math 4210 - Nonlinear Dynamics and Chaos | Prof. Lionel Levine | Spring 2020 |
Math 4260 - Numerical Linear and Nonlinear Equations | Prof. David Bindel | Spring 2020 |