Postdoc
I am primarily interested in probabilistic machine learning with research experience in MCMC methods, variational inference, Bayesian nonparametrics, and Bayesian active learning. In the Kriegeskorte lab, I've focused so far on more flexible Bayesian models for crowdsourcing/classifier combination with state-of-the-art performance on benchmark datasets under two separate novel approaches. More recently I have also been working on making inference-time scaling in LLMs more efficient using probabilistic methods.
contact: [first name][last name][at]gmail[dot]com