Welcome to the Aalto Machine Learning Research Group, led by Professor Alexander Jung.
Our research focuses on machine learning models that respect human agency, oversight, and fundamental rights. We work on topics including federated learning, explainable AI, and fairness in machine learning.
🏛️ Research Areas
- Federated Learning and Privacy-Preserving AI
- Intrinsically Simulatable Machine Learning Models
- Fairness, Accountability, and Transparency in AI
- Machine Learning for Healthcare
📚 Featured Books
Machine Learning: The Basics
Author: Alexander Jung · Textbook
A concise, accessible introduction to modern ML concepts, methods, and intuition.
- Clear coverage of supervised and unsupervised learning methods.
- Builds intuition with minimal overhead; ideal as a first course companion.
- Widely used in teaching; complements the Federated Learning textbook.
Federated Learning — From Theory to Practice
Author: Alexander Jung · Textbook (forthcoming)
Principles, algorithms, systems, and real-world case studies for practical federated learning.
- From fundamentals to deployment: objectives, personalization, privacy, and robustness.
- Hands-on guidance: practical recipes, pitfalls, and design patterns for FL at scale.
- Applications in healthcare, sensors, and beyond, with exercises and figures.
Aalto Dictionary of Machine Learning
Authors: Alexander Jung et al.
A multilingual glossary for machine learning terms, designed to make ML concepts more accessible.
- Provides clear definitions and explanations of core ML terminology.
- Supports teaching and research by standardizing terminology.
- Open access online resource for students, researchers, and practitioners.
📢 Open Positions
We are always looking for motivated researchers! Join us as a PhD student or Post-Doc, or contact Professor Alexander Jung for inquiries.
🏢 Contact
📍 Aalto University, Finland
📧 alex.jung@aalto.fi
🔗 GitHub | LinkedIn | YouTube