The Bucharest University of Economic Studies (ASE) is pleased to invite you to the Training Week on Blockchains in Digital Finance, scheduled for March 30-April 3, 2026. Location: Bucharest University of Economic Studies, Piata Romana nr. 6, Building Ion Angelescu, Room Robert Schumann (venue guide).

Click here to see the MSCA webpage of the event

This training week, organized through a collaboration between MSCA DIGITAL FINANCE, IDA Institute Digital Assets, AI4EFin and the Institute for Economic Forecasting, Romanian Academy, focuses on applying statistical modeling, machine learning (ML), and artificial intelligence (AI) methods—particularly large language models (LLMs)—to blockchain-based financial systems.

Students will explore the use of these technologies in:

• Predictive modeling of crypto assets;

• Anomaly detection in decentralized finance (DeFi);

• Transaction graph analytics;

• Smart contract evaluation;

• Blockchain-based risk assessment.

Emphasizing data-driven research, the course makes extensive use of real-world blockchain datasets from sources such as Quantinar, Dune Analytics, Etherscan, and Flipside Crypto. Through lectures and applied labs, students will formulate, implement, and evaluate models that capture the complexity of digital finance systems built on distributed ledger technologies.

The course positions students at the forefront of quantitative blockchain analytics, with practical exposure to ML frameworks (e.g., PyTorch, scikit-learn), financial time series analysis, and the responsible use of LLMs for interpretability, auditing, and compliance in DeFi.

Link: https://ase.zoom.us/j/97543437275?pwd=IjEoN6EdzH7uoTJJEp0n9fspGBQgSy.1

Contact: Prof. dr. Daniel Traian Pele (danpele@ase.ro), Prof. Dr. Wolfgang Karl Härdle (haerdle@hu-berlin.de), Prof. Dr. Adrian Costea (adrian.costea@csie.ase.ro), Alexandra Conda (alexandraconda8@gmail.com), Stefan Gaman (gamanstefan18@stud.ase.ro), Theodor Ginavar (ginavarandrei19@stud.ase.ro), David Siang-Li Jheng (david86888@gmail.com)