I'm a postdoc in Natural Language Processing at Aalborg University (Copenhagen) advised by Prof. Johannes Bjerva and Prof. Euan Lindsay. My research is currently at the intersection of NLP and Education. Additionally, I'm affiliated to the Pioneer Centre for Artifical Intelligence.
Previously, I was a PhD Student in NLP at the IT University of Copenhagen (ITU) advised by Prof. Barbara Plank and Prof. Rob van der Goot. I was part of NLPnorth at ITU and MaiNLP at the Ludwig Maximilian University of Munich (LMU). I worked on Computational Job Market Analysis (/ NLP for HR), where we investigated how to extract information (e.g., skills) from job ads data and match these to existing taxonomies.
Feel free to reach out to me if any of my work is interesting and you have ideas or would like to collaborate!
News
21 February 2025
Area Chair for ACL 2025
I'll be serving as an Area Chair for ACL 2025.
17 February 2025
LLM Agents for Educational Feedback Pre-print Released
A Pre-print on leveraging LLM agents for educational feedback is out!
Education
IT University of Copenhagen
Ph.D. in Natural Language Processing
Advisor: Barbara Plank & Rob van der Goot
University of Groningen
M.Sc. Information Science
University of Groningen
B.Sc. Information Science
Publications
Under Review 2025
HIFI-KPI: A Dataset for Hierarchical KPI Extraction from Earnings Filings
Rasmus T. Aavang, Giovanni Rizzi, Rasmus Tjalk-Bøggild, Alexandre Iolov, Mike Zhang, Johannes Bjerva
CHI'25
How Do Hackathons Foster Creativity? Towards AI Collaborative Evaluation of Creativity at Scale
Jeanette Falk, Yiyi Chen, Janet Rafner, Mike Zhang, Johannes Bjerva, Alexander Nolte
EDUCON'25
The Responsible Development of Automated Student Feedback with Generative AI
Euan Lindsay, Mike Zhang, Aditya Johri, Johannes Bjerva
C3NLP'25 // NB-REAL'25
DaKultur: Evaluating the Cultural Awareness of Language Models for Danish with Native Speakers
Max Müller-Eberstein*, Mike Zhang*, Elisa Bassignana, Peter Brunsgaard Trolle, Rob van der Goot
NAACL'25
SHADES: Towards a Multilingual Assessment of Stereotypes in Large Language Models
Margaret Mitchell, Giuseppe Attanasio, ... (Other Authors), Mike Zhang, Sydney Zink, Zeerak Talat
SEFI'24
Leveraging Large Language Models for Actionable Course Evaluation Student Feedback to Lecturers
Mike Zhang, Euan Lindsay, Frederik Bode Thorbensen, Danny Bøgsted Poulsen, Johannes Bjerva
NLP4HR'24
Deep Learning-based Computational Job Market Analysis: A Survey on Skill Extraction and Classification from Job Postings
Elena Senger, Mike Zhang, Rob van der Goot, Barbara Plank
Experience
Postdoctoral Researcher — Aalborg University
Advisor: Johannes Bjerva & Euan D. Lindsay
Investigating Educational Feedback tools for improving student learning.
Ph.D. Research Visitor — EPFL
Advisor: Syrielle Montariol & Antoine Bosselut
Worked synthetic data and Large Language Models for Skill Extraction.
Ph.D. Research Visitor — National University of Singapore
Advisor: Min-Yen Kan
Worked Retrieval Augmented methods for Skill Extraction.
Ph.D. Research Intern — NEC Laboratories Europe GmBH
Advisor: Kiril Gashteovski
Investigated data-centric methods to improve Open Information Extraction.