Scholar
Michael Etienne Van Huffel
Google Scholar ID: dH3CwhMAAAAJ
Incoming Research Intern at Max Plank Institute
Citations & Impact
Citations
1
H-index
1
i10-index
0
Publications
2
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Paper 'Discrete transforms of quantized persistence diagrams' accepted to the SIAM ALENEX 2025 Conference.
Research Experience
- Currently an AI research intern at the Computational Applied Mathematics & AI Lab at the Max Planck Institute for Intelligent Systems.
Education
- Master's degree in Statistics from ETH Zurich; Bachelor's degree in Mechanical Engineering from ETH Zurich; Visiting graduate student researcher at Imperial College London where he completed his master’s thesis.
Background
- Broadly interested in statistical learning theory, deep learning, reinforcement learning, time-series modelling, and natural language processing. Enjoys uncovering structure in complex data, developing predictive signals, and building robust models suited for real-world applications.
Miscellany
- Passionate about hybrid training that combines strength and endurance, alongside climbing, trekking, skiing, and downhill. Also enjoys traveling, reading, playing chess, and photography.
Co-authors