Mitchell Scott

PhD Student in Computational Mathematics at Emory University

Curriculum Vitae

Here is a downloadable .pdf copy of my CV. (last updated: Jan. 2024)

Education

Year Experience Location
2023-2028 PhD in Mathematics Emory University
2023-2025 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

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.

Teaching Experience

Emory University

  • Teaching Assistant
    • Math 315 - Numerical Analysis (Spring 2024)
  • Directed Reading Program Mentor
    • 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

Memberships

Relevant Coursework

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