MIT Courses · 2023–present

15.071 The Analytics Edge Spring 2025 · Spring 2024 · MBA core analytics 6.8 · 6.3 · 6.1 · 6.0 / 7 overall instructor ratings across four MBA sections (2024–25)

“Incredible energy and passion… By far the best class I have taken at Sloan.”

Student evaluation · Spring 2024

“Really great professor — explained novel concepts in a way that was easy to understand and made me excited about analytic methods and tools.”

Student evaluation · Spring 2025
15.081 Introduction to Mathematical Programming Fall 2023 5.8 / 7 overall instructor rating (Fall 2023)

“A very diligent and passionate teacher… I wish that all teachers take an example on Prof. Gupta, as she clearly takes her teaching very seriously and genuinely wants us to understand the concepts and details.”

Student evaluation · Fall 2023

“Great enthusiasm, knowledge of subject… very willing to take feedback from students.”

Student evaluation · Fall 2023
Class selfie with 15.071 students at MIT Sloan
Last lecture selfie — 15.071 The Analytics Edge, MIT Sloan
End-of-term class photo, The Analytics Edge
End of term with the Analytics Edge cohort

Executive Education & Special Programs

OPEN LEARNINGAI + Ethical Decision MakingFall 2025
EXEC EDAI Executive AcademySeptember 2025 · April 2025
EXEC EDLeading the AI-Driven OrganizationApril & November 2024
EXEC EDAI and Implications for Business StrategySeptember 2024
EXEC EDFrontiers of Generative AI in BusinessJune 2024
LEAD WEEKFairness and Ethics in AI/MLFall 2024
SERCConsidered Design Cards ↗A set of activity cards — across inputs, processes, outputs, feedback loops, and ecosystems — that prompt students and designers to reflect on the social and ethical responsibilities embedded in a computing system. Co-created for MIT’s SERC and published on MIT OpenCourseWare. · 2023–2024

Georgia Tech · 2018–2023

ISYE 4803/8803 ✦ CIOS Honor Roll 2020 & 2021 Online Learning and Decision Making Fall 2021 · 2020 · 2019 · 2018 4.8 / 5 instructor effectiveness (Fall 2020, 96% response; Fall 2021)

“I put all 5s for a reason — you were a great professor this semester, Dr. Gupta. I thoroughly enjoyed attending your class every day.”

Student evaluation · Fall 2021

“Dr. Gupta is one of the best professors I’ve had at GT. She taught the content well, and made the class enjoyable for everyone as it is clear she wanted to see us succeed.”

Student evaluation · Fall 2021

“I loved the discussions surrounding ethical algorithms… it is so refreshing to have a professor in the field that acknowledges how even programmed algorithms can become biased and unethical. She… showed me how I can use my major in fields that I’m super passionate about — politics, mental health, etc.”

Student evaluation · Online Learning & Decision Making
ISYE 7686 Advanced Combinatorial Optimization Spring 2021 · 2020 · 2019 · PhD

“Very good teaching skills, and ability to explain complicated concepts in a simple way.”

Student evaluation · Spring 2021
ISYE 7661 Linear Inequalities Fall 2022 · PhD

Beyond the classroom

PRESSTeaching in the time of COVID-19 ↗Georgia Tech College of Engineering · walking lectures & interactive bias simulations · November 2020
PODCASTBias in Algorithms — The Uncommon Engineer ↗With CoE Dean Steve McLaughlin · December 2019
LAW & POLICYPanels & keynotes for policy & privacy audiences
  • “Trustworthy AI: a Practical Roadmap for the Government” panel, Snorkel AI (2022)
  • Algorithmic inferences panel, CPDP, Brussels (2019)
  • Bias & fairness tutorial, ICDPPC / Global Privacy Assembly (2018)
  • IAPP Global Privacy Summit (2019) ↗
K-12Georgia schools & camps
  • Mount Vernon School
  • Midvale Elementary
  • Peeples Elementary, Fayette County
  • GoSTEM, Georgia Tech
  • Mission Possible & FOCUS programs
  • HBCU & MSI teacher training
2018–2022
K-12MIT BLOSSOMS video & school visits ↗The Power of Exponentials · dubbed in 4 languages
Thank-you letters from Peeples Elementary students
Thank-you letters from Peeples Elementary, after a lesson on bias in algorithms
Students raising hands during a library lesson on algorithms
Algorithms & bias with K-12 students, Midvale Elementary
Student playing the MindReader game
MindReader — can a computer predict your next move?
Classroom discussion at Mount Vernon School
In the classroom, Peeples Elementary School