Hanti Lin

Hanti Lin serves as Associate Professor in the Department of Philosophy at the University of California, Davis, where his research bridges formal epistemology, philosophy of science, and computational methodologies. His work addresses foundational challenges in scientific inference, particularly focusing on justifying inductive reasoning beyond traditional statistical frameworks.

Education:

• Ph.D. in Philosophy, Carnegie Mellon University (2013)
• M.S. in Logic, Computation and Methodology, Carnegie Mellon University (2010)
• M.A. in Philosophy, University College London (2007)
• B.A. in Physics, National Taiwan University (2003)

Research Focus: Lin's scholarship centers on resolving Hume's problem of induction through novel convergence frameworks, with significant contributions to causal inference without faithfulness assumptions and unified theories of inductive logic. His interdisciplinary approach integrates statistics, machine learning theory, and formal epistemology to justify scientific inference methods that resist conventional statistical justification. Recent work demonstrates increasing sophistication in connecting theoretical computer science with philosophical epistemology.

Publication Trends: Analysis of Lin's 15 most recent publications reveals a clear trajectory toward synthesizing machine learning practice with philosophical foundations. The period 2022-2025 shows heightened focus on internalist reliabilism in statistical practice, historical-philosophical analysis of machine learning, and unified convergence frameworks spanning formal learning theory, statistical inference, and supervised learning. This evolution reflects growing recognition of philosophy's role in addressing fundamental limitations in contemporary AI methodologies.

Awards: No scientific awards were documented in the provided materials.

Teaching & Mentoring: Lin teaches advanced courses including "Theory of Knowledge," "Formal Epistemology," and "Logic, Probability, and Artificial Intelligence," emphasizing rational justification in scientific inquiry. While specific advisees aren't listed, his curriculum design demonstrates commitment to training next-generation researchers in interdisciplinary methodology. His postdoctoral position at Australian National University preceded his current UC Davis appointment, establishing his research trajectory.