Caleb McKinney is a Machine Learning PhD student in the School of Electrical Engineering at Georgia Tech. His research applies pretrained foundation models to explain neural data and develop more capable neuroprosthetics. His doctoral work is supported by the NSF Graduate Research Fellowship, the Georgia Tech President’s Fellowship, and the GT/Emory Computational Neuroengineering Training Program (CNTP) NIH T32 Fellowship.

Caleb earned his B.S. in Computer Science in 2025 from Rice University. For his senior capstone, he collaborated with the Wehbe and Tarr labs in CMU’s Machine Learning Department to leverage image generation models to explain intersubject differences in fMRI vision encoding. Additionally, he interned at Uber, where he built core machine learning infrastructure for computer vision workflows.