Steering Committee
Dayne Freitag
SRI International, San Diego, USA
Dayne Freitag is Program Director in SRI's Artificial Intelligence Center, head of the Advanced Analytics group. He leads and participates in research into information extraction and retrieval, with a longstanding emphasis on the scientific and technical literature. He holds a PhD in Computer Science from Carnegie Mellon University.
Kyle Lo
Allen Institute for Artificial Intelligence (AI2)
Kyle Lo is a researcher on the Semantic Scholar team working on fact checking, summarization, and explanations to reduce information overload. His recent work on domain adaptation was awarded runner-up for best paper at ACL 2020. Kyle was an organizer of the 1st SciNLP workshop at AKBC 2020, the TREC-COVID shared task at TREC 2020, and the EPIC-QA challenge at TAC 2020.
Arman Cohan
Allen Institute for Artificial Intelligence (AI2)
Arman Cohan is a Research Scientist on the Semantic Scholar team at AI2, focusing on representation learning and transfer learning methods, with special focus on NLP applications in the scientific and biomedical domains. He received his PhD from Georgetown University. His research has been recognized with a best paper award at EMNLP 2017, an honorable mention at COLING 2018, and Harold N. Glassman Distinguished Doctoral Dissertation award in 2019. He was a co-organizer of the 1st SciNLP workshop.
Petr Knoth
Open University, UK
Petr Knoth leads a R&D team working in the domains of text-mining, digital libraries and open access/science, and is the founder, product and team leader for CORE. Petr is is the founder and main organizer of the WOSP workshop series, and of the 3C Citation Context Classification shared task.
Tom Hope
The Hebrew University of Jerusalem, Israel and Allen Institute for AI
Tom Hope is an assistant professor at the HUJI’s School of Computer Science and Engineering, and a research scientist at AI2. He develops artificial intelligence methods that augment and scale scientific knowledge discovery by harnessing vast repositories of scientific knowledge. His work has received four best paper awards, appeared in top venues, and received coverage from Nature and Science. He was awarded the 2022 Azrieli Early Career Faculty Fellowship, and was a member of the KDD 2020 Best Paper Selection Committee.
Lucy Lu Wang
University of Washington, Seattle, USA
Lucy Lu Wang is an Assistant Professor at the University of Washington Information School working on biomedical applications of NLP and science of science. She was a co-organizer for SciNLP 2020, SciNLP 2021, SDP 2021, SDP 2022, the MSLR shared task at SDP 2022, the TREC-COVID shared task at TREC 2020, and the EPIC-QA challenge at TAC 2020. She holds a PhD in Biomedical Informatics and Medical Education from the University of Washington.
