Ari Kobren

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I am a principal research scientist in Oracle Labs East, which is based in Burlington, MA. I’m currently focused on building machine learning models that help developers find and fix software issues more efficiently. More broadly, I am interested in studying how computational tools–especially those that are powered by machine learning–can be used safely, and to promote social good.

Before Oracle, I completed a Ph.D. at UMass Amherst under the supervision of Andrew McCallum. I received a B.S. in Computer Science from Tufts University and worked as a researcher at MIT Lincoln Laboratory building intelligent decision support systems. I spent the summers of 2014 and 2016 interning at Google.

For a complete list of my publications, see Google Scholar.

news

May 19, 2025 This summer I’m excited to be working with my summer intern, Francesca Luchetti, on automatic debugging with LLMs.
Apr 29, 2025 I’ll be attending NAACL. Come chat with me if you’ll be there as well!
Mar 10, 2025 Jake Beck is starting a full-time role in our group at Oracle Labs East! We’re very excited to have him and put his RL expertise to good use!
Jan 14, 2025 We’re hosting Azalia Mirhoseini at our Oracle Labs ML Seminar Series this week. Looking forward to the talk!
Oct 27, 2024 My group is hiring! We’re looking for an ambitious ML research scientist to join our team. If you’re interested, please contact me!

selected publications

  1. ACL
    Upstream Mitigation is Not All You Need: Testing the Bias Transfer Hypothesis in Pre-Trained Language Models
    Ryan Steed, Swetasudha Panda, Ari Kobren, and 1 more author
    In Association for Computational Linguistics, 2022
  2. WSDM
    Online Post-Processing in Rankings for Fair Utility Maximization
    Ananya Gupta, Eric Johnson, Aditya Roy Kumar, and 5 more authors
    In Web Search and Data Mining, 2021
  3. KDD
    Paper Matching with Local Fairness Constraints
    Ari Kobren, Barna Saha, and Andrew McCallum
    In International Conference on Knowledge Discovery and Data Mining, 2019
  4. KDD
    Scalable Hierarchical Clustering with Tree Grafting
    Nicholas Monath, Ari Kobren, Akshay Krishnamurthy, and 2 more authors
    In International Conference on Knowledge Discovery and Data Mining, 2019
  5. KDD
    A Hierarchical Algorithm for Extreme Clustering
    Ari Kobren, Nicholas Monath, Akshay Krishnamurthy, and 1 more author
    In International Conference on Knowledge Discovery and Data Mining, 2017