Participations & Talks

Participated in the 2026 workshop on neural reasoning for scientific and mathematical discovery, held on March 23-24, 2026 at the University of Cambridge.

Participated in the SEIO Workshop and PhD School 2025 focused on exact methods for vehicle routing and logistics optimisation, hosted with support from SEIO and Universitat Pompeu Fabra.

Presented the talk From Graphs to Sheaves: Modeling Spatial Heterophily in Transportation Networks during the workshop session on December 2, 2025.

Participated in the one-day Montenegrin Machine Learning Workshop, a satellite event of the EEML summer school series focused on bringing top-tier AI talks and community building to Eastern Europe.

Selective programme covering deep learning theory, geometric deep learning, probabilistic ML, NLP, computer vision, and ML for social impact.

Participated in the 16-day international summer program at Tohoku University, following the Robotics Course through lectures, laboratory activities, cultural events, and an oral presentation component equivalent to 4 ECTS.

Built on this experience during the robotics track and later received recognition as TESP 2025 Winner.

Intensive deep learning school covering modern architectures, optimisation theory, generative models, and applications in vision and language.

Participated in the 9-13 September 2024 edition of M2L, covering current machine learning topics through lectures, poster sessions, and interactions with researchers across the Mediterranean ML community.

Received the Best Poster Award for the poster A Multi-Reference Style and Multi-Modal Context-Awareness Zero-Shot Style Alignment in Image Generation.

Selected for IT:U’s two-week Summer School 2024 and contributed to Care Connect, an AI-powered assistant platform for hospital staff that monitors environmental variables such as air quality, temperature, and humidity through a database-informed LLM and an interactive robotic component.

Google-hosted summer school focused on machine learning at scale, cloud infrastructure (Google Cloud Platform), and responsible AI principles. Covered topics including distributed training, MLOps, and production ML pipelines.

Attended CVPR 2025, one of the leading international conferences in computer vision and machine learning.

Presented the paper Z-SASLM: Zero-Shot Style-Aligned SLI Blending Latent Manipulation at the CVEU Workshop held in conjunction with CVPR 2025.

Conducted research on Sheaf Neural Networks and their application to neuroscience data, collaborating with the AI Lab at Tohoku University.

Selected winner of the TESP 2025 (Tohoku Engineering Summer Program).

Research stay focused on xLSTM architectures and modern sequence modelling under the supervision of Prof. Sepp Hochreiter (inventor of LSTM).

Awarded Best Poster Award at the JKU AI Research Symposium.

Exhibited a hardware robotics project at one of Europe's largest innovation fairs, showcasing maker culture and open-source engineering to a broad public audience.

Returned as exhibitor with an updated project iteration, engaging with the international maker community and receiving feedback from engineers and innovators.

First participation as a young maker, presenting an electronics and embedded systems project and sparking a long-standing passion for building things.