Ana-Andreea Stoica

I'm a Ph.D. student in Computer Science at Columbia University, working with Prof. Augustin Chaintreau on social networks and algorithmic fairness.

Since Fall 2019 I am co-organizing the Mechanism Design for Social Good initiative with Rediet Abebe, Irene Lo, Wanyi Li and Francisco Marmolejo Cossío.

I am co-chairing the ACM inaugural conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO'21), together with Rediet Abebe and Irene Lo, taking place online Oct 5-9, 2021.

Contact

Office: CEPSR 617, Columbia University
astoica < at > cs < dot > columbia < dot > edu

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News:

  • Conference: the call for participation for EAAMO'21 is now live!
  • Talk: selected to give a talk at the Harvard CRCS Risings Starts in AI for Social Good in April, 2021.
  • Talk: giving a talk at the TOC for Fairneess seminar series in February, 2021.
  • Podcast: spoke to Anastasia Repouliou and Prof. Venki Murthy from Harvard University in Pint-size science podcast in an episode about neuroscience, smell, and COVID-19.
  • Talk: giving a talk at the Oracle ML seminar series in February, 2021.
  • Talk: giving a talk at Fair February at Brown University in February, 2021.
  • FaccT: Paper accepted on gaps between mechanism design and machine learning definitions of fairness!
  • Talk: giving a talk at the The Analytical Foundations of Deep Learning Workshop at C3.ai DTI in October, 2020.
  • Talk: giving a talk at the Rising Stars in Computer Science series at UMass Amherst in September, 2020.
  • Talk: giving a talk at the NIH Biomedical Informatics Coordinating Committee meeting on August 5, 2020.
  • Talk: giving a talk at the MGGG Graphs and Networks workshop on July 10, 2020.
  • I'll be an instructor for the AI4ALL @ Columbia summer school this July, 2020.
  • I'll be an invited speaker at the World Summit AI in Amsterdam, October 13-14, 2020.
  • Talk: will be giving a talk at the BitHacks online hackathon, on June 22-25, 2020.
  • Talk: accepted for an oral presentation at the IC2S2 Conference, July 17-20, 2020.

About me

My work focuses on mathematical models, data analysis, and policy implications for algorithm design in social networks. I am particularly interested in studying the network structure effects on algorithmic bias through a graph theoretical lens.

I'm Romanian and graduated from Princeton in 2016 with a bachelor's degree in Mathematics and certificates in Computing and Applied Mathematics. Outside of academia I love skiing and modern art. See my CV or contact me for more info!

Publications (list)

  • J. Finocchiaro, R. Maio, F. Monachou, G.K. Patro, M. Raghavan, A.-A. Stoica, and S. Tsirtsis. Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness. FaccT 2021. [pdf]
  • A.-A. Stoica, J. X. Han, A. Chaintreau. Seeding Network Influence in Biased Networks and the Benefits of Diversity. The Web Conference, WWW'20. [pdf] [short video] [long video]
  • A.-A. Stoica, A. Chakraborty, P. Dey, K. P. Gummadi. Minimizing Margin of Victory for Fair Political and Educational Districting. AAMAS'20. [pdf] [video]
  • A.-A. Stoica and A. Chaintreau. Fairness in the Social Influence Maximization Problem. 1st Workshop on Fairness, Accountability, Transparency, Ethics and Society on the Web (FATES on the Web, WWW'19). [pdf]
  • A.-A. Stoica and A. Chaintreau. Hegemony in Social Media and the effect of recommendations. 1st Workshop on Fairness, Accountability, Transparency, Ethics and Society on the Web (FATES on the Web, WWW'19). [pdf]
  • A.-A. Stoica, C. Riederer, A. Chaintreau. Algorithmic Glass Ceiling in Social Networks: The effects of social recommendations on network diversity. The Web Conference, WWW'18. [pdf]
  • A. A. Kattis, A. Holiday, A.-A. Stoica, I. G. Kevrekidis, Modeling epidemics on adaptively evolving networks: a data-mining perspective. Virulence 7, no.2 (2016): 153-162. [pdf]