Short CV

Education

• Postdoctoral Researcher, Centre Borelli, Ecole Normale Superieure (ENS), Paris-Saclay, France, February 2024 - now
• Ph.D in CS & ML, Laboratoire d’Informatique (LIX), Ecole Polytechnique, IPP, France, October 2020 - January 2024
• BSc & MSc (5-year joint Diploma) in Electrical and Computer Engineering (major in Information Technology - top 15%), NTUA, Greece, 2014-2019

Research experience

• February 2024 - now: Postdoctoral Researcher
  • Centre Borelli, ENS Paris-Saclay
  • Projects under the Industrial Data Analytics and Machine Learning (IDAML) chair
  • Duties included: Research projects (ML for time series, ML for industrial applications), Supervision of students
• October 2020 - January 2024: PhD Candidate
  • DaSciM Group, LIX, Ecole Polytechnique
  • Duties included: Research projects (ML for time series, sequences, graphs), Teaching Assistant
  • Supervisors: Michalis Vazirgiannis & Jean-Marc Steyaert
• April - November 2019: MSc Thesis
  • Artificial Intelligence and Learning Systems Laboratory (NTUA)
  • ML for genomics and protein data

Reviewing

• AISTATS 2023, AISTATS 2024, AISTATS 2025, AISTATS 2026
• ICLR 2024 (Tiny papers Track, DEI Initiative), ICLR 2025 (Main Track), ICLR 2026 (Main Track)
• ICML 2025, ICANN 2023
• NeurIPS 2024 (Main Track, Awarded as Top Reviewer (~ 8%)), NeurIPS 2025 (Main Track, Awarded as Top Reviewer)
• Journals: Transactions on Machine Learning Research (TMLR) - since 2024, IEEE Transactions on Knowledge and Data Engineering (TKDE) - since 2023

Supervising

• Maxime Dehondt (Cifre PhD Student, 2024-), cosupervised with Charles Truong and Laurent Oudre
• Bastien Lhopitallier (Cifre PhD Student, 2024-), cosupervised with Charles Truong and Laurent Oudre
• Lucas Haubert (M2 MVA Student, Spring 2024), cosupervised with Thibaut Germain and Laurent Oudre
• Samy Fouché (ARIA Diplôme Student, ENS Paris-Saclay, Autumn 2024)

Teaching

Executive Education (X-EXED) Advanced AI Program

Ingénieur 3A, Master 1 - INF554 (Machine and Deep Learning) 2021-2022

Ingénieur 3A, Master 1 - INF554 (Machine and Deep Learning) 2022-2023

Ergonomics - Track: Human Factors, Health and Technology (FHST), Course: Signals

Programming Skills

• Python (PyTorch, Keras, Tensorflow)
• Java (OOP Principles), C/C++
• Matlab
• Git/Github, Linux

Languages

• Greek (native)
• English (fluent - C2)
• French (basic - B2)

Honours & Awards

• “IP Paris “Artificial Intelligence (AI)” programme”, IPP funding by ANR for PhD theses in AI, 2020
• “The Great Moment for Education” Award - Eurobank, excellence in university admissions exams, 2014
• Touramanoglou Scholarship - Municipality of Ilioupolis & Hymettus, Greece, top high school graduate, 2014