Science is rarely siloed, and many of the most interesting problems lie at the intersection of different disciplines. This section serves as a repository for my notes on topics that fall outside my primary focus areas of Machine Learning and Computational Chemistry, yet remain integral to my broader scientific worldview.
Here you will find notes covering a diverse range of subjects:
- Computational Biology & Evolutionary Biology: Explorations into the mechanisms of life, from molecular evolution to population genetics, often viewed through a computational lens.
- Planetary Science: Notes on the formation, evolution, and dynamics of planetary systems. This includes 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 reflect my curiosity about the natural world and the scientific method itself. They are a mix of literature reviews, concept summaries, and personal syntheses of interdisciplinary topics.