Research, teaching, and academic service.

Jade Lintott is a Computer Science PhD candidate at Georgia Tech in the Algorithms, Combinatorics, and Optimization program, advised by Will Perkins. Her research focuses on probabilistic combinatorics, rare events, and sampling in sparse random graphs. Her teaching experience includes serving as lead instructor for discrete mathematics for computer scientists, supporting algorithms courses as a TA and Head TA, and teaching inquiry-based mathematics.

• 2022-present
  PhD candidate in Computer Science, Georgia Tech

  Algorithms, Combinatorics, and Optimization program; advisor: Will Perkins; enrolled in the Tech for Teaching certification program.

  Dissertation: Local large deviations for sparse random structures. Expected completion: May 2027.

• 2017-2022
  Stanford University

  BS in Mathematics, with distinction, Phi Beta Kappa (2021), GPA 4.05; MS in Computer Science (2022), GPA 4.00.

• Fall 2026
  Lead Instructor, Georgia Institute of Technology

  Lead instructor for Intro to Discrete Math for Computer Scientists; gave twice-weekly lectures for a 200-student course.

• Summer 2026
  Apprentice Instructor, Mathily-Er

  Taught binary linear algebra and graph theory in an inquiry-based pedagogical setting and wrote daily evening problem sets tied to student progress.

• 2023-present
  Teaching Assistant / Head Teaching Assistant, Georgia Institute of Technology

  TA for CS 3510: Design and Analysis of Algorithms (Fall 2023), TA for CS 3511: Honors Design and Analysis of Algorithms (Fall 2025), and Head TA for CS 3510; held office hours, wrote homework and exam problems, and graded coursework.

• Spring 2020
  Visual Descriptionist, Stanford University

  Provided instruction to a blind student in CS 103: Mathematical Foundations of Computing and explained visual components of lectures and slides, especially for automata theory.

• 2018-2019
  Computer Science Section Leader, Stanford University

  Taught over 30 students introductory computer science in Java and Python, explained programming methodology and data structures, and hosted interactive grading and debugging sessions.