I am a principal research scientist in Oracle’s Machine Learning Research Group, 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
| Dec 04, 2025 | We have two full time research positions we’re trying to fill. The first is looking for folks with experience in computer vision, and the second with recommender systems. If you’re interested please apply and send me mail. |
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| Oct 21, 2025 | Honored to be named a top reviewer at NeurIPS. If you’re planning on attending the conference and would like to chat, please reach out! |
| Oct 03, 2025 | My team is currently investigating evolutionary search systems similar to AlphaEvolve. If you’re interested in doing an internship with us over the summer (2026), please reach out! |
| 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! |
selected publications
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ACL
Upstream Mitigation is Not All You Need: Testing the Bias Transfer Hypothesis in Pre-Trained Language Models
In Association for Computational Linguistics, 2022
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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
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KDD
Paper Matching with Local Fairness Constraints
Ari Kobren, Barna Saha, and Andrew McCallum
In International Conference on Knowledge Discovery and Data Mining, 2019
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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
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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