Research background
I'm interested in Bayesian statistics, dynamical systems (particularly identifying them from limited and/or noisy data), time series analysis, Gaussian processes, Monte Carlo methods, information theory and machine learning.
Most of my work involves implementing and testing algorithms numerically, for which I mainly use Python, R and MATLAB. I plan to write about some of the specific tools I use on my blog.
Research topics
Here you can learn about some of my research interests and the papers I've published.
- Quantum physics
- Genome biology
- Epidemiology
- Quantitative sports analytics
“Far better an approximate answer to the right question, which is often vague, than an exact answer to the wrong question, which can always be made precise.”