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💬 Who am I? ~ I am an Assistant Computational Scientist (equivalent to assistant professor) at Brookhaven National Laboratory since 2021. Previously I was United States Computational Science Graduate Fellow and a graduate student in the Reichman Group at Columbia University.

🎓 Education ~ I hold a PhD in chemical physics from Columbia University, as well as a BS in chemistry and BA in physics from the University of Rochester. Before that, I attended Watchung Hills Regional High School in Warren, New Jersey.

⭐️ Outreach ~ A few of the things I do: organize open-access tutorials on AI/ML, am a host on the Python Exchange, and hackathon organizer at my old high school. I am always interested in helping anyone learn about science or computations, so if you feel there is a way we could partner please reach out.

🔭 What do I do? ~ Currently, my research lies at the intersection of chemistry/physics/materials science and computations. I apply computational techniques from the computer science, mathematics and statistics communities to solve tough scientific problems. Additionally, I work on and contribute to open-source scientific software. See my pinned repositories for a few highlighted examples!

👯 Work with me! ~ I am always looking for new collaborations, both on subject matter I am expert in, and also on new research problems where I am not (usually more fun!).

📫 Contact ~ Feel free to reach out to me via email (see the sidebar or my staff page), or by messaging me on LinkedIn.

⚡ Fun fact ~ I have a working fluency in American Sign Language, and performed in the "Sign Idol" competition during my undergrad!

Matthew Carbone's Projects

aiml-tutorials icon aiml-tutorials

Repository for containing the tutorial series for the AI/ML working group

allegro icon allegro

Allegro is an open-source code for building highly scalable and accurate equivariant deep learning interatomic potentials

atomai icon atomai

Deep and machine learning for atomic-scale, nanoscale, and mesoscale data

basisvae icon basisvae

PyTorch implementation of BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders

bpu icon bpu

A collection of useful python utilities

cmake_example icon cmake_example

Example pybind11 module built with a CMake-based build system

cmdr icon cmdr

Simple quality of life utilities for the command line

cpp icon cpp

Various implementations of functions in C++.

crescendo icon crescendo

A greatly abstracted machine learning suite built for ease of use, powered by Hydra + Lightning

deep-glass icon deep-glass

Learning dynamics of deep feedforward networks analyzed analyzed with a glassy approach.

design-tutorial icon design-tutorial

Tutorial materials used by Design subgroup for the ECP Annual Meeting

doubletime icon doubletime

A comprehensive, Rust-level fast project time tracker

easy-python-version icon easy-python-version

Replaces the Python version in your project's __version__.py with that found in VCS

easybayes icon easybayes

Probabilistic modeling, Gaussian process and Bayesian optimization sandbox

easypub icon easypub

Easily download publication information via CrossRef, the arXiv and ChemArxiv starting from only doi

edrixs icon edrixs

An open source toolkit for simulating RIXS spectra based on ED

effectiveengine icon effectiveengine

A collection of effective scripts so I - and nobody else - needs to remember how to implement them ever again!

fasmifra icon fasmifra

Molecular Generation by Fast Assembly of SMILES Fragments

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