I'm broadly interested in algorithms and machine learning, and I currently focus on theoretical foundations and societal impact. I'm supported by a PD Soros Fellowship for New Americans and a Berkeley Fellowship.
Here's my CV and my contact info.
- Fairness in ad auctions through inverse proportionality
Shuchi Chawla* and Meena Jagadeesan*.
Manuscript under submission.
- Multi-Category Fairness in Sponsored Search Auctions
Christina Ilvento*, Meena Jagadeesan*, and Shuchi Chawla.
ACM FAT* 2020. (Preliminary version at EC 2019 Workshop on Mechanism Design for Social Good.)
[paper] [slides] [video]
- Individual Fairness in Pipelines
Cynthia Dwork*, Christina Ilvento*, and Meena Jagadeesan*.
[paper] [full version] [slides from reading group]
- Understanding Sparse JL for Feature Hashing
NeurIPS 2019. Oral Presentation (given to ~3% of accepted papers).
[paper] [full version] [talk] [slides] [coverage]
- Simple Analysis of Sparse, Sign-Consistent JL
[paper] [full version] [slides]
- Varying the Number of Signals in Matching Markets
Meena Jagadeesan* and Alexander Wei*.
WINE 2018. (Preliminary version at EC 2018 Workshop on Frontiers of Market Design.)
[paper] [full version]
- Dyson's partition ranks and their multiplicative extensions
Elaine Hou* and Meena Jagadeesan*.
The Ramanujan Journal, 2018.
- Mobius Polynomials of Face Posets of Convex Polytopes
Meena Jagadeesan and Susan Durst.
Communications in Algebra, 2016.
- From Worst-Case to Average-Case Analysis: Accurate Latency Predictions for Key-Value Storage Engines
Meena Jagadeesan* and Garrett Tanzer*.
SIGMOD 2020 (2-Page Extended Abstract). Winner of SIGMOD SRC.
- The Performance of Johnson-Lindenstrauss Transforms: Beyond the Classical Framework
Undergraduate thesis, 2020. Awarded Hoopes Prize.
- PD Soros Fellowship for New Americans (2020-2024)
- Berkeley Fellowship (2020-2024)
- CRA Outstanding Undergraduate Researcher Award (2020)
- Siebel Scholar (2019-2020)
- Barry Goldwater Scholar (2018-2020)
- Intel STS 2nd Place Prize in Basic Research (2016)