Matthew Carbone
Research Staff 3 Computational, Comput. Sci. Mach. Learning, Computational Science Initiative
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)
Brookhaven National Laboratory
Computational Science Initiative
Bldg. 725
P.O. Box 5000
Upton, NY 11973-5000
(631) 344-4827
mcarbone@bnl.gov