CV
You can download a PDF version of my CV here
Education
- Ph.D in Computer Science, University of Copenhagen, 2022
- M.S. in Computer Science, University of California San Diego, 2019
- B.S. in Computer Engineering, San Diego State University, 2014
Work experience
- Current: Tenure Track Assistant Professor
- Aalborg University Copenhagen (Copenhagen)
- TT Assistant Professor in the Department of Computer Science
- February 2023 to January 2026: Postdoctoral Researcher
- University of Copenhagen (Copenhagen) and University of Michigan (USA)
- My current projects are two-fold: developing more resources and methods for analyzing science communication, and developing methods for sustainable machine learning.
- October 2019 to March 2023: 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
Grants and Honors
- NeurIPS spotlight paper (top 2.5% submission), NeurIPS 2024
- Honorable mention (top 0.6% submission), International Conference on Computational Social Science (IC2S2) 2023
- Danish Data Science Academy Postdoc Fellowship, 2023
- Marie Sklodowska-Curie PhD fellowship, 2019
- Best application paper, AKBC 2019
Publications
For a list of my publications see either here or my scholar page
Invited Talks
- “The Many Faces of Science Misinformation” (ICWSM Misinformation Workshop Keynote, June 23, 2025)
- “Revealing Political Opinions in Large Language Models” (Last Friday Talks, Pioneer Center for AI, April 25, 2025, Denmark)
- “Socially Sustainable NLP” (Research Colloquium, University of Minnesota, April 7, 2025, USA)
- “LLM Tropes: Revealing Fine-Grained Values and Opinions in Large Language Models” (DIKU Bits, University of Copenhagen, November 19, 2024, Denmark)
- “Revealing Fine-Grained Values and Opinions in Large Language Models” (University of Michigan CSS Working Group, August 9, 2024, USA)
- “Modeling Information Change in Science Communication with Semantically Matched Paraphrases” (20/07/2023, International Conference of Computational Social Science (IC2S2), Honorable mention (top 0.6% submission))
- “Fighting Misinformation in Science Communication with NLP” (02/06/2023, University of Cambridge)
- “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)
Service
- Area Chair, Association for Computational Linguistics (ACL) 2026
- Reviewer, European Association for Computational Linguistics (EACL) 2026
- Reviewer, Journal of AI Research (JAIR) 2025
- Area Chair, Empirical Methods in Natural Language Processing (EMNLP) 2025
- Area Chair, Association for Computational Linguistics (ACL) 2025
- Reviewer, WNUT 2024
- Reviewer, Empirical Methods in Natural Language Processing (EMNLP) 2024
- Reviewer, European Association for Computational Linguistics (EACL) 2024
- Reviewer, North American Association for Computational Linguistics (NAACL) 2024
- Area Chair, Empirical Methods in Natural Language Processing (EMNLP) 2023
- Program Committee, BioNLP Workshop (ACL) 2023
- Program Committee, ACL 2022
- Publication Chair, Conference for Truth and Trust Online 2021
- Program Committee, Empirical Methods in Natural Language Processing (EMNLP) 2021
Press
- Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI (Montreal AI Ethics Institute Blog)
- Exaggeration Detector Could Lead to More Accurate Health Science Journalism (NVIDIA blog)
- An NLP Approach to Exaggeration Detection in Science Journalism (unite.ai)
Supervision
- Clinical Note Error Detection with Large Language Models. Master’s project advisor, UCPH, Mar 2025, Wenkun Zhang
- Factual Text Generation. PhD Co-advisor, UCPH, Oct 2024 onward, Zain Muhammad Mujahid
- Compression Methods for Efficient Vision Transformers. Bachelor’s project advisor, UCPH, Feb 2023, Olga Henrietta Ptacek
- Uncertainty and Exaggerations of Scientific Findings in Social Media. Master’s project advisor, UCPH, June 2022, Jimmie Jin, Asger Thorleif Knudsen, Sylvester Leonhard Gorm Errebo Lee
- Stance Detection of Attitudes Toward Climate Change on Social Media. Bachelor’s project advisor, UCPH, June 2020, Jimmie Jin, Asger Thorleif Knudsen, Sylvester Leonhard Gorm Errebo Lee
Teaching
- Fall 2025: Co-Instructor, Empirical Research Methods
- University of Copenhagen
- Developed course material, assignments, and lectured on empirical research methods
- Tutorial Organizer, Addressing AI Driven Misinformation
- IC2S2 2025, Norreköping Sweden
- Tutorial Organizer, Addressing AI Driven Misinformation
- ICWSM 2025, Copenhagen Denmark
- 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.