Thank you for visiting my site.
I am an Assistant Professor of Philosophy and Data Ethics at the University of Oregon. I research the epistemic and ethical implications of the design, development and deployment of computational methods and technologies in science and society.
You can find some of my publications on the following philosophical issues related to computational methods and data science (starting from most recent) here:
- On why we shouldn’t let deep neural networks (or pigeons) replace medical professionals in clinical settings. (Forthcoming in Bioethics)
- On explaining epistemic opacity in computational methods (Preprint). (Forthcoming in Science and Art of Simulation II: Epistemic Opacity in Computer Simulation and Machine Learning)
- On understanding computer simulations as scientific instruments. (in Foundations of Science)
- On health, autonomy and AI diagnosis from social media content/data analysis (with Nicolae Morar in The American Journal of Bioethics).
- On the challenges that opaque computational methods such as artificial intelligence, machine learning and big data pose to democratic processes. (in Big Data and Democracy)
- On how not to justify our ubiquitous reliance and trust on computer simulations for scientific inquiry (with John Symons in Minds and Machines).
- On the epistemic implications of big data in science (with John Symons in Big Data and Society)