Research overview

My research is in Natural Language Processing and Machine Learning, with an emphasis on applications in health.

Working in the domain of health naturally motivates the methodological problems that I have worked on. For example, these include: model interpretability; learning with limited supervision from diverse sources; human-in-the-loop/hybrid systems; and trustworthiness of model outputs. For more details, see recent publications here.

On the applications side, one thread of my research concerns developing language technologies to automate (or semi-automate) biomedical evidence synthesis. Here is an episode of the NLP highlights podcast in which I discuss this work, here is a (brief) talk I gave at SciNLP 2020, and here is an article written for a lay audience about the effort. Elsewhere, I have worked on models for processing notes in Electronic Health Records.

A random sample of recentish publications

Jay DeYoung and Eric Lehman and Benjamin Nye and Iain Marshall and Byron C. Wallace. Evidence Inference 2.0: More Data, Better Models BioNLP ; 2020.

Frank Soboczenski, Thomas A Trikalinos, Joël Kuiper, Randolph G Bias, Byron C Wallace and Iain J Marshall. Machine learning to help researchers evaluate biases in clinical trials: a prospective, randomized user study BMC Medical Informatics and Decision Making; 2019.

Yinfei Yang, Oshin Agarwal, Chris Tar, Byron C. Wallace, and Ani Nenkova. Predicting Annotation Difficulty to Improve Task Routing and Model Performance for Biomedical Information Extraction North American Chapter of the Association for Computational Linguistics (NAACL); 2019.

News

01/20/2021 Lutron Award

I received the 2020 Lutron award for teaching — this is given to TT faculty in the Khoury college of CS in recognition of influencing the academic experience.

08/15/2019 NIH/NLM R01 Renewed

The NIH has renewed the R01 grant that supports our work on RobotReviewer and related methods!

06/24/2019 NSF Grant

The NSF has awarded Jan-Willem van de Meent and I a grant to study disentangled representations for text!

05/20/2019 IJCAI early career spotlight

I'll be giving an "early career spotlight" talk at IJCAI in August.

Support

My work has been supported with grants from the National Institutes of Health, National Science Foundation (including a CAREER grant), the Army Research Office, Seton hospital, Amazon and seed funds from Brown University.