Before coming to Berkeley, I graduated from Harvard with an A.B. and S.M. in computer science, math, and statistics in May 2020. While at Harvard, I completed an undergraduate thesis advised by Jelani Nelson. In the summer of 2020, I interned at Microsoft Research in the Machine Learning and Optimization Group.
Here's my CV and my contact info.
Publications and Preprints
- Inductive Bias of Multi-Channel Linear Convolutional Networks with Bounded Weight Norm
Meena Jagadeesan, Ilya Razenshteyn, and Suriya Gunasekar.
Manuscript under submission.
[arXiv]
- Individual Fairness in Advertising Auctions through Inverse Proportionality
Shuchi Chawla* and Meena Jagadeesan*.
Manuscript under submission. (To be presented at FORC 2021.)
[arXiv] - 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*.
FORC 2020.
[paper] [full version] [slides from reading group] - Understanding Sparse JL for Feature Hashing
Meena Jagadeesan.
NeurIPS 2019. Oral Presentation (given to ~3% of accepted papers).
[paper] [full version] [talk] [slides] [coverage] - Simple Analysis of Sparse, Sign-Consistent JL
Meena Jagadeesan.
RANDOM 2019.
[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.
[paper] - Mobius Polynomials of Face Posets of Convex Polytopes
Meena Jagadeesan and Susan Durst.
Communications in Algebra, 2016.
[paper]
- 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.
[short paper]
Theses
- The Performance of Johnson-Lindenstrauss Transforms: Beyond the Classical Framework
Meena Jagadeesan.
Undergraduate thesis, 2020. Awarded Hoopes Prize.
[thesis]
Selected Awards
- 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)
Contact Info
Email: mjagadeesan [at] berkeley [dot] eduLinkedIn: meena.jagadeesan