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Krishna Acharya


I am a Ph.D. Candidate in Machine Learning at Georgia Tech, advised by Prof. Juba Ziani

I’m passionate about about models that make effective sequential decisions, are fair across subpopulations, and preserve user privacy.

My research focus is:

  • Recommender systems, especially generative retrieval and ranking
  • Algorithmic fairness and differential privacy

Check out my publications and writings for more.

During my PhD, I've interned as an Applied Scientist at Amazon and as a ML engineer at Keysight.

Resume | LinkedIn | GScholarTwitter | krishna.acharya@gatech.edu

Recent News


Experience

  • Applied Scientist Intern, AmazonShopping Personalization (Fall 2024)
  • Machine Learning Intern, KeysightML Explainability (Summer 2023)
  • Research Intern, LIG Fair Ad Auctions (Spring 2020)

Education

  • Ph.D. in Machine Learning, Georgia Institute of Technology

    Sep 2021 - April 2026

  • Master's in Computer Science, École Normale Supérieure de Lyon, France

    Sep 2019 - Aug 2020

  • B.E. in Computer Science, BITS-Goa, India

    Aug 2015 - Dec 2018


Awards

  • Kiplinger Fellowship (Fall 2021, Spring 2022)
  • University of Lyon Scholarship of Excellence (Fall 2019, Spring 2020)
  • Merit Scholar, BITS Pilani (2015, 2016)

Teaching

  • TA, ISyE 4803: Online Learning and Decision Making (Spring 2024)
  • TA, ISyE 2027: Probability with Applications (Spring 2022)
  • TA, ISyE 3133: Engineering Optimization (Fall 2021)

Academic Service

Reviewer: ICML, AAAI, ICLR, KDD, NeurIPS.