I’m a PhD candidate in chemical engineering at MIT in the Coley Research Group, where I work on machine learning for molecular design and discovery. I did my BS in chemical engineering at Caltech, graduating in 2024.

Most of my current work is on large language models for science: post-training LLMs for computational chemistry/materials science and building scientific agents that can plan, run and interpret scientific workflows. I’m generally interested in just about everything related to atomistic simulations and generative modeling!

Timeline

1. 2024 –
   PhD candidate, Chemical Engineering, MITColey Research Group

   LLMs for chemistry and materials science
2. 2024
   BS, Chemical Engineering, CaltechComputational track
3. 2023
   Chemistry intern, D. E. Shaw ResearchNew York

   GNNs for drug discovery
4. 2022 – 23
   Research intern, Protomer Technologies (Eli Lilly)Pasadena

   Molecular sensor assays
5. 2021 – 24
   Undergraduate research, CaltechHadt, Goddard, and Wang labs

   Spin dynamics, surface Pourbaix diagrams, molecular optimization

Contact

Email is best: mcox340@mit.edu. I’m also on GitHub and LinkedIn.