Andrew Lee

Contact: andrewlee2023@u.northwestern.edu

Research Interests

• High throughput DFT, machine learning, thermoelectric materials, half-heuslers

Current Research

• Andrew is a fourth year PhD candidate in the Wolverton Group. He uses high-throughput DFT and machine learning to model the stability and synthesizability of half-heusler materials. His work supports a collaborative group where computationalists predict candidate compositions for experimentalists to synthesize and characterize.

Biography

• B.S. Chemical Engineering, Carnegie Mellon University, 2018

Publications