ana-andreea.stoica at tuebingen.mpg.de

Max Planck Institute for Intelligent Systems
Tübingen, Germany

I am a Research Group Leader in the Social Foundations of Computation Department at the Max Planck Institute for Intelligent Systems in Tübingen, Germany, advised by Moritz Hardt. I completed my Ph.D. in Computer Science at Columbia University in 2022, advised by Augustin Chaintreau. I spent Fall 2022 as a Simons Fellow at the Simons Institute for Theory of Computing in Berkeley, attending the Graph Limits and Processes on Networks program.

Research interests: I work on designing algorithms and evaluation methods for multi-objective optimization problems with applications in society. My work combines efficiency and societal objectives using unsupervised learning techniques, game theory, and behavioral and sociological modeling. From algorithmic design with fairness considerations to evaluating resource-allocation systems with equity constraints and incentive alignment, I am particularly interested in designing algorithms to improve people's access to information and opportunities. I obtained my Ph.D. from Columbia University and my B.A. in Mathematics from Princeton University.

EAAMO: Since 2019, I has been co-organizing the EAAMO Bridges initiative, formerly known as MD4SG. I co-founded the ACM conference series on Equity and Access in Algorithms, Mechanisms, and Optimization and served as a Program Co-Chair for the inaugural edition together with Rediet Abebe and Irene Lo. Check out ACM EAAMO'25, taking place at the University of Pittsburgh, Nov 5-7, 2025!

News

• [July, 2025] Giving a talk on causality at the ELLIS Summer School at Cambridge University, UK.
• [July, 2025] Giving a talk at the Automatic Control Lab at ETH in Zürich.
• [June, 2025] Giving a talk at the Algorithmic Fairness Workshop @ ECC'25, in Thessaloniki, Greece!
• [June, 2025] We'll present our paper on Fairness in Social Influence Maximization via Optimal Transport at EWAF'25 in Eindhoven, Netherlands!
• [March, 2025] I'm giving a talk at the EconCS Seminar @ Harvard U on Causal Inference from Competing Treatments.
• [2025] Our paper on Policy Design in Long-Run Welfare Dynamics was accepted at ICLR'25!
[February, 2025] Giving a talk on the EU DMA and Generative AI at the Machine Learning meets Law Workshop at the AI & Law Institute, University of Tübingen.
[December, 2024] Two papers accepted at NeurIPS'24: The Fairness-Quality Trade-off in Clustering and Fairness in Social Influence Maximization via Optimal Transport.
[November, 2024] Giving a talk at the Foundations of AI Seminar Series at the University of Warwick.
[October, 2024] Giving a talk at ACM EAAMO'24 on our recent paper, Fairness Rising from the Ranks: HITS and PageRank on Homophilic Networks.
[October, 2024] My co-author, Rashida Hakim, is giving a talk at ADT'24 on our paper, The Fairness-Quality Trade-off in Clustering.
[July, 2024] Giving a talk at the Network Inequality Lecture Series at the Complexity Science Hub in Vienna.
[July, 2024] At ICML24: presenting our paper on Causal Inference from Competing Treatments at ICML'24 main session and as an invited talk at the Humans, Algorithmic Decision-Making and Society Workshop.

Selected Publications

• Policy Design in Long-Run Welfare Dynamics
  Jiduan Wu, Rediet Abebe*, Moritz Hardt*, Ana-Andreea Stoica*
  ICLR 2025 arXiv
• The Fairness-Quality Trade-off in Clustering
  Rashida Hakim, Ana-Andreea Stoica, Christos Papadimitriou, Mihalis Yannakakis
  NeurIPS 2024 arXiv
• Fairness in Social Influence Maximization via Optimal Transport
  Shubham Chowdhary, Giulia De Pasquale*, Nicolas Lanzetti*, Ana-Andreea Stoica, Florian Dörfler
  NeurIPS 2024 arXiv
• Causal Inference from Competing Treatments
  Ana-Andreea Stoica, Vivian Y. Nastl, Moritz Hardt
  ICML 2024 arXiv
• Fairness Rising from the Ranks: HITS and PageRank on Homophilic Networks
  Ana-Andreea Stoica, Nelly Litvak, Augustin Chaintreau
  The Web Conference 2024 arXiv