talks+panels

2024

1. AI-assisted Health Information Extraction and Summarization

   Apr 5, 2024 — Meeting of the American Association of Pediatric Hematology-Oncology (ASPHO)

2023

1. Generative AI for Translational Scholarly Communication

   Nov 22, 2023 — Hong Kong University of Science and Technology

   Nov 1, 2023 — Singapore Research Services Task Force (RSTF) Webinar
2. Improving the Accessibility of Scholarly Communication

   Nov 10, 2023 — Unicamp Computer Science Seminar
3. Taking and Giving Back: Open Access, Generative AI, and the Transformation of Scholarly Communication

   Oct 27, 2023 — IU Bloomington OA Week
4. AI in Scholarly Communications: Where We Are and Where We’re Going

   Aug 4, 2023 — FORCE11 Scholarly Communication Institute (FSCI) Conference
5. Can Scientific Claim Verification Help Us Do Better Science?

   May 5, 2023 — Fact Extraction and Verification (FEVER) Workshop at EACL
6. Biomedical Evidence Extraction and Synthesis

   Apr 7, 2023 — School of Information Sciences, UIUC
7. Incorporating External Knowledge for Clinical Outcome Prediction

   Apr 3, 2023 — Institute for Medical Data Science Seminar, University of Washington

2022

1. How AI Can Make PDF Useful Again

   Oct 28, 2022 — PageBreak Conference
2. AI and Scholarly Publishing

   Oct 6, 2022 — Society for Scholarly Publishing ‘Ask the Experts’ Webinar
3. Unlocking Biomedical Knowledge: NLP Systems for Automating Systematic Literature Review

   Mar 14, 2022 — Information School, University of Washington

   Mar 9, 2022 — School of Data Science, University of Virginia

   Feb 28, 2022 — Luddy School of Informatics, Indiana University-Bloomington

   Jan 31, 2022 — Computer Science Research Seminar, Emory University
4. Signals and Noise: How AI and ML Techniques are Being Deployed to Track a Global Pandemic

   Jan 26, 2022 — Friends of the NLM Virtual Workshop

2021

1. Using Machine Learning to Verify Scientific Claims

   Nov 2, 2021 — OECD Workshop on AI and the Productivity of Science
2. Mathematics in the Scholarly Literature

   Sep 7, 2021 — Conference on Artificial Intelligence and Theorem Proving (AITP)
3. The Power of AI: A Discussion on COVID-19 & the Future of Industries

   Jul 13, 2021 — Legalweek

   Apr 22, 2021 — Relativity Media Pandemic short film discussion panel
4. NLP and Text Mining Resources for COVID-19 and Beyond

   May 7, 2021 — Machine Learning for Preventing and Combating Pandemics Workshop at ICLR 2021
5. Text Mining Insights from the COVID-19 Pandemic

   Apr 1, 2021 — Bibliometric-enhanced Information Retrieval (BIR) Workshop at ECIR 2021
6. Practical NLP for Biomedicine: Synthesizing Knowledge from Scientific Literature

   Mar 8, 2021 — CS Colloquium, Northwestern University
7. Fast-track Learning: Growing Insights from Text-mining COVID-19 Data

   Feb 18, 2021 — 1st GTM2021 Virtual Forum

2020

1. Open Publishing and Open Data

   Nov 11, 2020 — Neuro-Gairdner Open Science in Action Symposium
2. Building Community and Data Ecosystem for Data Discovery and Reuse

   Oct 19, 2020 — Artificial Intelligence for Data Discovery and Reuse (AIDR) Symposium
3. Mining the COVID-19 Scientific Literature with the CORD-19 Open Research Dataset

   Oct 19, 2020 — Artificial Intelligence for Data Discovery and Reuse (AIDR) Symposium
4. CORD-19 Search: Using Machine Learning to Explore COVID-19 Scientific Literature

   Jul 29, 2020 — AWS Education: Research Seminar Series
5. Improving Access to Scientific Literature for NLP

   Jun 18, 2020 — Microsoft Research Hanover Group
6. CORD-19: The COVID-19 Open Research Dataset

   Jun 12, 2020 — Connected Health and COVID-19: Now and Beyond the Great Lockdown

   May 27, 2020 — Centre for Science and Technology Studies, Leiden University

   Apr 27, 2020 — NLP Meetup (NY-NLP, A2D-NLP, DC-NLP, Hungarian NLP, London Text Analytics)

   Apr 14, 2020 — Semantic Indexing and Information Retrieval for Health (SIIRH) Workshop at ECIR

≤ 2019

1. Ontology-based Integration of Biological Pathway Data

   May 22, 2019 — Scientific Literature Knowledge Bases Workshop at AKBC 2019
2. Ontologies and Algorithms for Integrating Biological Pathway Data

   Oct 11, 2018 — Department of Biomedical Informatics and Medical Education, University of Washington
3. Learning from Biomedical Knowledge

   Oct 10, 2018 — The Allen Institute for Artificial Intelligence (AI2)