Matthew Carbone

Brookhaven National Laboratory

Computational Science Initiative
Bldg. 725
P.O. Box 5000
Upton, NY 11973-5000

(631) 344-4827
mcarbone@bnl.gov

Pronouns: he, him, his

Expertise | Research | Education | Appointments | Awards | Certifications

Expertise

• Theoretical condensed matter & spectroscopy
• Machine learning & data analysis
• High-performance computing
• Software development (primarily Python & C++)

Research Activities

Matt has a diversity of research interests spanning condensed matter, spectroscopy, machine learning and many topics in between. In no particular order:

• Development of machine learning models for predicting chemical environment information from spectroscopy, and vice versa
• Development of molecule and materials discovery pipelines, integrated with multi-modal targeting
• Collaboration with beamline experimentalists to develop new AI-driven tools for analyzing observable data
• Developing a better understanding of how AI tools can better assist us in understanding complicated physics
• Development of a methodologically unconstrained electron-phonon solver, called the Generalized Green's function Cluster Expansion
• Developing a better understanding of high-dimensional systems (funnel and random energy models) in the context of both activated dynamics and landscape exploration

You can also find me on Google Scholar or my personal website (currently a work in progress!).

Education

• Ph. D. in chemical physics; Columbia University, New York, NY (2021)
• M. A. in chemical physics; Columbia University, New York, NY (2017)
• B. S. magna cum laude in chemistry, with highest distinction; University of Rochester, Rochester, NY (2016)
• B. A. magna cum laude in physics, with highest distinction; University of Rochester, Rochester, NY (2016)

Professional Appointments

• Assistant Computational Scientist (RS3); Brookhaven National Laboratory (2021-present)

Awards & Recognition

• George Pegram Award for Meritorious Achievement in Chemical Research (2021)
• Department of Energy Computational Science Graduate Fellowship (2017)
• Dr. E.W. and Maude V. Flagg Award (2016)
• Junior Scholar Award (2015)
• Carl A. Whiteman Jr. Teaching Award (2015)

Certifications

• Teaching Development Program Advanced Certification; Columbia University, New York, NY (2021)