CV

You can download a PDF version of my CV here

Education

• Ph.D in Computer Science, University of Copenhagen, 2022 (expected)
• M.S. in Computer Science, University of California San Diego, 2019
• B.S. in Computer Engineering, San Diego State University, 2014

Work experience

• October 2019 to present: PhD Student
  • University of Copenhagen (Copenhagen)
  • Research on natural langauge processing and machine learning: fact checking, scholarly document processing, and domain adaptation
  • Supervisor: Isabelle Augenstein
• June 2021 - September 2021: Research Intern
  • Allen Institute for Artifical Intelligence, Semantic Scholar (Remote)
  • Research project on generating scientific claims for scientific fact checking
  • Advisor: Lucy Lu Wang
• June 2019 - September 2019: Research Intern
  • IBM Research Almaden (San Jose, CA)
  • Research on active learning for biomedical information extraction
  • Supervisors: Kristen L. Beck and Anna Lisa Gentile
• January 2018 - June 2019: Graduate Research Assistant
  • UC San Diego Center for Microbiome Innovation (San Diego, CA)
  • Created state of the art disease name normalization model
  • Advisor: Chun-nan Hsu
• October 2017 - December 2017: Graduate Teaching Assistant
  • UC San Diego (San Diego, CA)
  • Teaching assistant for Lawrence K. Saul’s course Principles of Artificial Intelligence: Probabilistic Reasoning and Decision-Making
• March 2015 - October 2017: Software Engineer II
  • BAE Systems Inc. (San Diego, CA)
  • Front-end web developer

Publications

For a list of my publications see either here or my scholar page

Invited Talks

• “Automatically Ensuring Information Quality in Scientific Writing” (15/03/2022, Elsevier)
• “Semi-Supervised Exaggeration Detection in Science” (28/01/2022, University of Amsterdam)
• “Cite-Worthiness Detection for Improved Scientific Document Understanding” (1/3/2021, ETH Zürich)
• “NormCo: Deep Disease Normalization for Biomedical Knowledge Base Construction” (10/07/2019, IBM Research)

Press

• Exaggeration Detector Could Lead to More Accurate Health Science Journalism (NVIDIA blog)
• An NLP Approach to Exaggeration Detection in Science Journalism (unite.ai)

Teaching

• Fall 2021: Teaching Assistant - Natural Language Processing
  • University of Copenhagen
  • TA for NLP course at KU; Duties involved running lab sessions, designing the course project, and marking papers
• Fall 2020: Teaching Assistant - Natural Language Processing
  • University of Copenhagen
  • TA for NLP course at KU; Duties involved running lab sessions, designing the course project, and marking papers
• Spring 2020: Teaching Assistant - Web Science
  • University of Copenhagen
  • Teaching assistant for web science course at University of Copenhagen. Duties involved designing the course project, moderating lab sessions, and grading the course project
• Fall 2017: Teaching Assistant - Principles of Artificial Intelligence: Probabilistic Reasoning and Decision-Making
  • UC San Diego
  • Teaching assistant for CSE 250A. Duties involved maintaining regular office hours and grading assignments.