Science rarely stays within boundaries, and some of my most interesting work sits at the intersection of disciplines. This section collects notes from areas that connect to and inform my research in machine learning and computational chemistry.
The topics covered here are genuine research interests with real connections to my work:
- Computational Biology: Notes on protein folding, energy landscapes, and the computational methods used to study them.
- Evolutionary Biology: Explorations into the mechanisms of molecular evolution and how life changes over time.
- Planetary Science: Notes on the formation, evolution, and dynamics of planetary systems, including topics relevant to astrobiology and the search for life elsewhere.
- Computational Social Science: Examining how computational methods can be applied to understand complex social phenomena and human behavior.
- Research Methods: Thoughts and guidelines on the “science of science” covering how we conduct research, design experiments, and analyze data rigorously.
These notes are a mix of literature reviews, concept summaries, and personal syntheses of interdisciplinary topics.