Publications
2025
- Engineering TEV Protease Specificity: An Exploration of Machine Learning and High-Throughput Experimentation for Protein DesignMassachusetts Institute of Technology, 2025PhD Thesis
2024
- A New Ultra-High-Throughput Assay for Measuring Protein FitnessIn ICLR Workshop: Generative and Experimental Perspectives for Biomolecular Design, 2024Oral presentation
2023
- FLIGHTED: Inferring Fitness Landscapes from Noisy High-Throughput DataIn NeurIPS Workshop: Machine Learning and Structural Biology, 2023
2022
2021
2020
2019
- Using Single Protein/Ligand Binding Models to Predict Active Ligands for Previously Unseen ProteinsIn NeurIPS Workshop: Machine Learning and the Physical Sciences, 2019
- Using Machine Learning to Predict Protein/Ligand InteractionsUniversity of Cambridge, 2019MPhil Thesis
2018
- Bounds on Errors in Observables Computed from Molecular Dynamics SimulationsHarvard University, 2018Senior Thesis