Lennon J. Shikhman

I am a graduate student in Computer Science at the Georgia Institute of Technology and Applied Mathematics at the Florida Institute of Technology. My research focuses on mathematically grounded machine learning, particularly at the intersection of scientific computing, inverse problems, and dynamical systems.

I study neural operators and learning-based methods for forward and inverse problems, with emphasis on stability, generalization under distributional shift, and the analysis of learned mappings between function spaces. I also work on inverse problems in sensing and imaging systems, anomaly detection in time series, and geometric deep learning.