I am a doctoral researcher at the University of Edinburgh’s Centre for Technomoral Futures and School of Philosophy, Psychology and Language Sciences. Currently, I am a visitor at Egenis, University of Exeter’s Centre for the Study of Life Sciences.

My research focus lies at the intersection of the philosophy of science and AI. In particular, I am interested in how the proliferation of machine learning affects social scientific research practices. Currently, I work most closely on machine learning applications in development economics. There I explore how the particular epistemic and methodological practices of machine learning developers shape the way we study and understand poverty. My work closely connects to my broader interests in the philosophy of measurement, AI ethics, technology policy, and economics.

Before my PhD, I completed an MA in bioethics, tech ethics, and science policy at Duke University as well as a BSc in economics and business administration at the University of Konstanz. In another life, I worked as a data scientist in retail, automotive, and banking. My studies and research have been supported by the Baillie Gifford PhD Studentship in AI/Data Ethics, the Duke Science and Society Leadership Award, and a Fulbright Scholarship. I have also recently received the University of Edinburgh Incubator Grant for the commercialization of my PhD research.

You can view a hopefully somewhat updated version of my CV and connect with me at alexander(at)mussgnug(dot)de.