// AI/ML · Cheminformatics · Computational Chemistry

Garrett Meek

Computational chemist specializing in the development of enterprise AI/ML workflows that support drug discovery.

About

Garrett Meek

I'm an AI/ML scientist with an extensive background in drug discovery and materials engineering. I specialize in developing AI/ML workflows that integrate enterprise systems with cloud computing platforms like AWS.

I'm currently focused on applying cheminformatics as a part of collaborative drug discovery. In my free time I develop educational resources for patients with Inflammatory Bowel Disease.

AI/ML Cheminformatics Drug Discovery Materials Engineering

Research Interests

Kinome tree map showing kinase families and drug targets

Drug Discovery

Applying cheminformatics and machine learning to accelerate the identification and optimization of small-molecule drug candidates.

UV-Vis absorption spectra with visible spectrum overlay

Advanced Optical Materials, 2014

Materials Engineering

Leveraging computational simulation to design novel materials with targeted properties for energy conversion and storage.

Heat capacity and native contact fraction curves with polymer conformations

Journal of Chemical Theory and Computation, 2021

Protein/Peptide Design

Using molecular simulation to engineer proteins and peptides with desired structural and functional properties.

Quantum time-evolution operator diagram

The Journal of Physical Chemistry Letters, 2014

Molecular Simulation

Developing coarse-grained models and refining QM models to understand molecular behavior at scale.