Promoting Transparency in Biomedical Publications Using Natural Language Processing

Halil Kilicoglu PhD

  • Associate Professor
  • School of Information Sciences (iSchool), University of Illinois at Urbana-Champaign

Feb 06, 2020|12:00 PM – 1:00 PM

130 University Health Services Building, Please RSVP to BMI@uky.edu

20200206 kilicoglu

Rigor, reproducibility, and transparency of biomedical research has been the topic of much debate in recent years. Some ongoing efforts aim to address the issues in research conduct and dissemination by focusing on standardization and guideline development. As biomedical research output increases exponentially, automated tools are needed to complement such efforts and assist the stakeholders (e.g., scientists, journals, funding organizations) in assessing and improving research output.

 

Halil Kilicoglu is an associate professor in the School of Information Sciences (iSchool) at the University of Illinois at Urbana-Champaign. His research is primarily concerned with natural language understanding, with a particular focus on biomedical text. He uses a combination of knowledge-based semantic approaches and data-driven analytical techniques to extract and organize knowledge buried in textual artifacts, with potential benefits for biomedical discovery and scholarship, and healthcare outcomes. Prior to joining the iSchool faculty, he worked as a staff scientist at the U.S. National Library of Medicine, National Institutes of Health, where he led the Semantic Knowledge Representation project.