My work focuses on mathematical models, data analysis, and policy implications for algorithm design in social networks. I am particularly interested in studying the effect network structures on algorithmic bias through a graph theoretical lens.
I'll be presenting my most recent work at the FATES workshop at the Web Conference this May in San Francisco, tackling bias in content recommendations and fair algorithmic design for information diffusion.
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!
- 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).
- 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).
- 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.
- 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]