Ian René Solano-Kamaiko

Visiting Research Scholarisk273(at) nyu.eduPersonal Website

Ian is a Visiting Scholar at NYU R/AI. He graduated from NYU with an M.S. in Computer Science in 2022 and is currently a PhD student at Cornell Tech. His research is focused on building and evaluating computing technologies that aim to improve the lives of marginalized and underserved populations. In particular, he is interested in community and in-home healthcare, mental health, climate resilience, and responsible artificial intelligence. Outside of academic activities, he is an avid Muay Thai practitioner, enjoys reading, and loves to cook — plus he has been known to eat.

Selected publications

  1. Introducing contextual transparency for automated decision systems
    Mona Sloane, Ian Solano-Kamaiko, Jun Yuan, Aritra Dasgupta, and Julia Stoyanovich
    Nature Machine Intelligence 2023
  2. It’s Just Not That Simple: An Empirical Study of the Accuracy-Explainability Trade-off in Machine Learning for Public Policy
    Andrew Bell, Ian Solano-Kamaiko, Oded Nov, and Julia Stoyanovich
    In Proceedings of the 5th Annual ACM Conference on Fairness, Accountability, and Transparency, FAccT 2022