Blog

physics

machine-learning

research

An overview of Physics-Informed Neural Operators and their applications in space physics.

machine-learning

career

research

My perspective on how to break into AI research.

machine-learning

tutorial

deep-learning

An implementation and demonstration of the transformer architecture from scratch using as few predefined libraries as possible.

astrophysics

paper-explanation

An annotated explanation of ‘A gas rich cosmic web revealed by partitioning the missing baryons’ by Connor et al. (2024).

education

graduate school

A review of the courses I took during my Master’s at Boston University (2022-2024).