I'm a 1st year PhD student in Computer Science at UC Berkeley. In May 2020, I graduated with an A.B. and S.M. from Harvard, where I studied computer science, math, and statistics. This summer, I interned at Microsoft Research in the Machine Learning and Optimization Group.

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.

Publications and Preprints

• Fairness in ad auctions through inverse proportionality
  Shuchi Chawla* and Meena Jagadeesan*.
  Manuscript under submission.
  [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]

Short Papers

• 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]

(* denotes alphabetical ordering)

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)

Related: see press / media appearances.

Contact Info

Email: mjagadeesan [at] berkeley [dot] edu

LinkedIn: meena.jagadeesan