Chad Harper is a PhD candidate in Physics at the University of California, Berkeley, with a research focus on complex network dynamics and biological computation. Chad’s work spans multiple fields, from computational neuroscience and category theory to machine learning theory and bioethics, driven by a commitment to ethical, analytically-driven decision-making. His recent collaborations with Stanford’s Currie Lab explore ethical frameworks for organ transplant allocation, addressing social disparities in wait times and outcomes. Previously, Chad applied interdisciplinary analysis as a data science consultant, for Deloitte, guiding policy at the Department of Homeland Security on crisis management dynamics such as the COVID-19 pandemic.
Through his Kavli Fellowship, Chad aims to deepen his expertise in applying ethical reasoning to scientific advancements, particularly within machine learning, personalized medicine, and automated systems in public health. With a unique blend of analytical rigor and ethical insight, he seeks to bridge technical innovation with societal impact, fostering collaborative research that advances ethical applications of science in diverse communities.
