CV

Education

• B.S. in Computer Science, Liege University, 2019
• M.S. in Computer Science, Liege University, 2021
• Ph.D in Technology, Aalto University, 2026 (expected)

Work experience

• 02.2021 - 09.2021: Research Assistant
  • Aalto University, Helsinki, Finland
  • Department of Computer Science, LeTech Research Group
  • Supervisors: Professor Lauri Malmi, Dr. Arto Hellas
• 06.2020 - 08.2020: Machine Learning Intern
  • EVS Broadcast Equipment
  • Innovation Research Team
  • Supervisor: Professor Gille Louppe
• 10.2017 - 12.2018: Teaching assistant:
  • University of Liege, Liege, Belgium
  • Department of Electrical Engineering and Computer Science
  • Supervisor: Professor Benoit Donnet

Publications

Methodological Considerations for Predicting At-risk Students

C. Koutcheme, S. Sarsa, A. Hellas, L. Haaranen, J. Leinonen: Methodological Considerations for Predicting At-risk Students. In Australasian Computing Education Conference (ACE ’22), February 2022

Exploring How Students Solve Open-ended Assignments: A Study of SQL Injection Attempts in a Cybersecurity Course

C. Koutcheme, A. Tilanterä, A. Peltonen, A. Hellas, and L. Haaranen: Exploring How Students Solve Open-ended Assignments: A Study of SQL Injection Attempts in a Cybersecurity Course. In Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education. July 2022

Speeding Up Automated Assessment of Programming Exercises

S. Sarsa, J. Leinonen, C. Koutcheme, A. Hellas. 2022: Speeding Up Automated Assessment of Programming Exercises. In Proceedings of the 2022 Conference on United Kingdom and Ireland Computing Education Research (UKICER22), September 2022

Automated Program Repair using Generative Models for Code Infilling

Koutcheme, C., Sarsa, S., Leinonen, J., Hellas, A., Denny, P. (2023). Automated Program Repair Using Generative Models for Code Infilling. In: Artificial Intelligence in Education. AIED 2023.

Training Language Models for Programming Feedback Using Automated Repair Tools

Koutcheme, C. (2023). Training Language Models for Programming Feedback Using Automated Repair Tools. In Artificial Intelligence in Education: 24th International Conference, AIED 2023, Tokyo, Japan, July 3–7, 2023