Physics
Simulation-aware ML, inverse problems, scientific computing, and uncertainty estimation.
Writing
A newsletter breaking down how AI and machine learning show up in medicine, finance, physics, biology, chemistry, and beyond.
Simulation-aware ML, inverse problems, scientific computing, and uncertainty estimation.
Clinical AI fundamentals: evaluation, trial logic, risk models, imaging pipelines, deployment.
Forecasting, portfolio ideas, risk controls, and methods that avoid fragile backtests.
Sequence + structure representations, noisy data, and modeling foundations.