Published several papers, such as 'On the Geometry of Deep Learning' (to be published in Notices of the American Mathematical Society), three papers accepted by EMNLP 2024; Richard Baraniuk was awarded the 2025 IEEE Jack S. Kilby Signal Processing Medal.
Research Experience
Involved in multiple research projects, including 'On the Geometry of Deep Learning', 'MalAlgoQA: A Pedagogical Approach for Evaluating Counterfactual Reasoning Abilities', 'Pedagogical Alignment of Large Language Models', 'The Student Data Paradox: Examining the Regressive Side Effects of Training LLMs for Personalized Learning', and 'Self-Improving Diffusion Models with Synthetic Data'.
Miscellany
Participated in managing a resource archive website on AI self-consuming feedback loops: dsp.rice.edu/ai-loops.