For an updated list of my research publications, please visit my Google Scholar page.

Current work

(current = as of July 2022)

In my PhD I am thinking about how machine learning methods can be applied to problems in the physical sciences. Due to issues of robustness, generalization, and small dataset sizes I generally do not believe that replacing existing systems with deep neural networks is the best strategy for most practical problems (at least with current technology). Instead, I think that the way forward is to identify small parts of larger systems in science where machine learning could have an advantage over existing approaches, then try to develop methods that are well-suited to these niches. Currently the niche I am focusing on is early-stage drug candidate generation. Some specific problems I am working on are:

General research interests