David Daffon
David obtained his BS Applied Physics degree in 2026 and was awarded the Best Undergraduate Thesis in Applied Physics Award for his work in developing machine learning models for predicting the structural parameters of crystals from compositional data. He has assisted in setting up, maintaining, and managing the NIP-HPC Cluster. He is interested in AI/ML, data science, quant finance and plans to pursue a career in these fields.
BS Thesis:
Predicting cubic, orthorhombic, and monoclinic crystal lattice
constants with machine learning
BS Adviser: