Computational design and interpretation of single-RNA translation experiments. - Luis U. Aguilera; William Raymond; Zachary R. Fox; Michael May; Elliot Djokic; Tatsuya Morisaki; Timothy J. Stasevich; Brian Munsky (PLoS Comput. Biol., 2019)

The finite state projection based Fisher information matrix approach to estimate information and optimize single-cell experiments. - Zachary R. Fox; Brian Munsky (PLoS Comput. Biol., 2019)

Optimal Design of Single-Cell Experiments within Temporally Fluctuating Environments. - Zachary R. Fox; Gregor Neuert; Brian Munsky (Complex., 2020)

Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces. - Javier E. Santos; Zachary R. Fox; Nicholas Lubbers; Yen Ting Lin (ICML, 2023)

FrESCO: Framework for Exploring Scalable Computational Oncology. - Adam Spannaus; John Gounley; Mayanka Chandra Shekar; Zachary R. Fox; Jamaludin Mohd-Yusof; Noah Schaefferkoetter; Heidi A. Hanson (J. Open Source Softw., 2023)

Development of the Senseiver for efficient field reconstruction from sparse observations. - Javier E. Santos; Zachary R. Fox; Arvind T. Mohan; Daniel O'Malley; Hari S. Viswanathan; Nicholas Lubbers (Nat. Mac. Intell., 2023)

Adaptive language model training for molecular design. - Andrew E. Blanchard; Debsindhu Bhowmik; Zachary R. Fox; John Gounley; Jens Glaser; Belinda S. Akpa; Stephan Irle (J. Cheminformatics, 2023)

Transferring a Molecular Foundation Model for Polymer Property Predictions. - Pei Zhang; Logan T. Kearney; Debsindhu Bhowmik; Zachary R. Fox; Amit K. Naskar; John Gounley (J. Chem. Inf. Model., 2023)

Active causal learning for decoding chemical complexities with targeted interventions. - Zachary R. Fox; Ayana Ghosh (Mach. Learn. Sci. Technol., 2024)

Enhancing molecular design efficiency: Uniting language models and generative networks with genetic algorithms. - Debsindhu Bhowmik; Pei Zhang; Zachary R. Fox; Stephan Irle; John Gounley (Patterns, 2024)