I am a postdoctoral fellow at Università della Svizzera italiana (USI) and the Chief Operating Officer (COO) of Panua Technologies, a spin off of the university. The focus of my research is centered around algorithms for graph learning and combinatorial optimization for graph clustering and anomaly detection.
I am the principal investigator (PI) of the project Directed acyclic graph partitioning for scheduling tasks, financed by the Huawei Research Center Zürich for 2025. My work is also supported by the joint German Research Foundation (DFG) and Swiss National Science Foundation (SNSF) project Numerical Algorithms, Frameworks, and Scalable Technologies for Extreme-Scale Computing.
For students
- Emerging topics in advanced computing, Phd course, USI.
- Data analytics for fraud detection, MSC, MFT, PhD course, USI.
- For MSc and BSc thesis topics, please contact via e-mail.
Adjacency matrix estimation via maximum likelihood
Nonlinear PageRank for local graph clusters
Directed spectral methods for topological ordering
- 06/25: I will be presenting our work this summer at VCMF 25 (Vienna), SIAM FM 25 (Miami), and at the Duke Computer Science Colloquium (Durham).
- 03/25: I will be visiting the Huawei Research Center Zürich in March.
- 03/25: The second edition of the AI & compliance seminar is taking place in Zürich.
- 11/24: I am presenting the foundation of the AI tools used in compliance at the Academy & Finance seminar in Geneva.
- 10/24: I will be presenting our recent work at the Deloitte Zürich seminar The power of graph technology in Financial Crime.
- 09/24: Our article Multilevel diffusion based spectral graph clustering has received the Outstanding Paper Award at IEEE HPEC.
- 06/24: Our interview with Albert-Jan Yzelman at ACM PASC regarding high performance graph analytics is now available online.
- 06/24: The poster accompanying our article GAMLNet: a graph based framework for the detection of money laundering has received the Best Poster Award at IEEE SDS24.
- 03/24: Our article Sparse Precision Matrix Estimation With SQUIC is published in ACM Transactions on Mathematical Software.
- 03/24: We are organizing the minisymposia "Learning and Clustering Tasks on Graphical Structures" at SIAM LA 24 in Paris, and "High Performance Graph Analytics" at PASC 24 in Zürich.
- 11/23: I have been awarded a DDSA grant to visit the Department of Mathematical Science of Aalborg University.
- 09/23: Our article Nonlinear spectral clustering with C++ GraphBLAS has received the Outstanding Short Paper Award at IEEE HPEC.
- 04/23: Our article Sparse Quadratic Approximation for Graph Learning is published in IEEE Transactions on Pattern Analysis and Machine Intelligence.
- 04/23: The Swiss National Science Foundation (SNSF) project Balanced Graph Partition Refinement Using the Graph p-Laplacian that supported my Phd studies is now complete.
- 03/23: I have successfully defended my Phd thesis entitled Learning and clustering graphs from high dimensional data.
- 07/22: Chairing the AP1B - ACM Papers Session 1B in PASC'22.
- 12/21: Our article Multiway p-spectral graph cuts on Grassmann manifolds was featured in the newsletter of the National Centre for High Performance Computing of the University of Erlangen (NHR@FAU).