The following is an assortment of young researchers I’ve had the pleasure of interacting with, either personally or by reading their work. If you find my work interesting, you might want to check them out as well. I’ll try to update it as I meet more people in my experience.
If you have recommendations on more young researchers to follow, especially members of interpersonally and systemically marginalized groups, please shoot me your recommendations!
===== This list is in no particular order, expect possibly alphabetical.
- Gabriel P. Andrade: Graphical economies, exchange dynamics
- Kate Donahue: Strategic behavior under uncertainty, AGT
- Paul Gölz: Voting rules, Computational Social Choice, Algorthmic fairness
- Ezra Goss: Differential privacy, algorthmic fairness
- Wade Hann-Caruthers: Esoteric (by request), Voting rules
- Dhamma Kimpara: StatML
- Roland Maio: Algorithmic fairness, computing and society
- Duncan McElfresh: Mechanism Design, Kidney exchange, Optimization
- Faidra Monachou: Discrimination in labor markets
- Keziah Naggita: Decision-making, algorithmic game theory, optimization, machine learning
- Chinasa Okolo: Global health, explainable AI
- Chara Podimata: StatML, EconCS, Strategyproofness
- Manish Raghavan: Algorithmic fairness, hiring discrimination
- Logan Stapleton: Ethical and socially responsible AI, fairness implications
- Ana-Andreea Stoica: Algorithmic bias, Social Networks, Graph Theory
- Briana Vecchione: Algorithmic bias, Algorithmic discrimination
- Lily Xu: Intersection of ML and game theory, with applications in environmental sustainability