My core research areas are in philosophy of science, cognitive science, and politics and ethics of science and technology (particularly artificial intelligence). I’m currently focusing on two research projects: the first project involves developing a framework for understanding, evaluating, and improving algorithm-based decision-making in an ethical manner. The second project examines group decision-making as well as individual decision-making in group settings. Here, I am particularly interested in how diversity (especially demographic diversity) impacts group dynamics and decision-making. In addition to these two core projects, I have also worked and continue to work on counterfactual explanation, attention, and cognitive modeling.


Diversity, trust, conformity: a simulation study (with Dan Steel). Forthcoming. Philosophy of Science.
Algorithmic bias: senses, sources, solutions (with David Danks). 2021. Philosophy Compass.
Fairness under partial compliance (with Jessica Dai & Zack Lipton). 2021. Proceedings for AIES 2021.
Norms in counterfactual selection2020. Philosophy and Phenomenological Research.
Affect-biased attention and predictive processing (with Madeleine Ransom, James Kryklywy, Jelena Markovic, Rebecca Todd & Evan Thompson). Forthcoming. Cognition.
Algorithmic fairness from a non-ideal perspective (with Zack Lipton). 2020. Proceedings for AIES 2020.
Information elaboration and epistemic effects of diversity (with Dan Steel, Biance Crewe & Kinley Gillette). 2019. Synthese
Multiple diversity concepts and their ethical-epistemic implications (with Dan Steel, Biance Crewe & Kinley Gillette). 2018. European Journal for Philosophy of Science
Attention in the predictive mind (with Madeleine Ransom & Chris Mole). 2017. Consciousness and Cognition
The Kantian brain: brain dynamics from a neurophenomenological perspective (with Evan Thompson). 2015. Current Opinion in Neurobiology 
Multiple description coding of video using phase scrambling (with Parsa Hojjat & Shahram Shirani). 2007. IEEE Pacific Rim Conference on Communications, Computers and Signal Processing

In Progress

Algorithmic fairness & the dynamics of justice (with David Danks and Zachary Lipton). Accepted. Canadian Journal of Philosophy as part of the special issue on “The Political Philosophy of Data and AI”.
Teaching and learning guide for Algorithmic bias (with David Danks). Commissioned by Philosophy Compass.