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.