Daniel L. Klein
(photo by Kendra Rose
Photography)
bayesian brain brown-university combinatorics conditional-inference goofy half-baked haskell history imbalance lif logistic-regression machine-learning math medicine meta modeling probabilistic-programming probability python r running science software-engineering statistics technology visualization williams-college williams-trivia workflow
I'm a Ph.D. candidate in the Division of Applied Mathematics at Brown University in Matt Harrison's group. My research is focused on understanding when conventional statistical inference fails in settings with extreme imbalance/sparsity and using conditional inference to overcome this problem.
I did my undergraduate work at Williams College, earning a BA in Biology and Mathematics, with departmental honors in Biology. Before attending grad school, I worked at TransForm Pharmaceuticals, Inc., a JNJ company focused on drug development using laboratory automation.
For further details, consult my résumé.
Elsewhere
Recent
- [16 Sep 2015] Miss America BMI
- [31 May 2015] Workflow bucket list
- [29 May 2015] Taleb and Pinker squabble
- [18 May 2015] Williams Trivia
- [ 3 May 2015] Freedom in De Bruijn sequences