**Lucy Lu Wang** (@lucyluwang) is a Postdoctoral Investigator at the Allen Institute for AI, where she is part of the Semantic Scholar Research team. She works on research related to scientific document representation and understanding, specifically in the areas of biomedical natural language processing, ontology, open access, and meta-science. Her work on supplement interaction detection and gender trends in publishing has been featured in Geekwire, Gizmodo, Axios, VentureBeat, and the New York Times. She completed her PhD at the University of Washington in Biomedical and Health Informatics.
**Kyle Lo** (@kylelostat) is an applied research scientist at the Allen Institute for AI on the Semantic Scholar Research team, where he works on NLP for scientific literature with emphasis on knowledge representation, discourse, and science-of-science. His work on domain adaptation of language models was nominated for best paper at ACL, and his work on sex bias in clinical trials and scientific fact checking has been featured in articles in MIT Tech Review and Quartz. He has an MS in Statistics from the University of Washington.
