Research

My research interests combine diverse areas of machine intelligence, including robotics, computer vision, language processing, and computational neuroscience. I am particularly fascinated by integrating these fields to develop complex, multimodal intelligent systems. Ultimately, my goal is to advance algorithms that assist humans and bring us closer to Artificial General Intelligence (AGI).

Selected Publications 🔗

• „Source-Agnostic Gravitational-Wave Detection with Recurrent Autoencoders” (2022)🔗
  E. Moreno, B. Borzyszkowski et al.; IOP Publishing: MLST [DOI: 10.1088/2632-2153/ac5435]
• „Accelerating Recurrent Neural Networks for Gravitational Wave Experiments” (2021)🔗
  Z. Que, B. Borzyszkowski et al.; 2021 IEEE 32nd ASAP Conference, 2021, pp. 117-124
• “PGNNs to solve partial differential equations for spatial analysis” (2021)🔗
  B. Borzyszkowski, M. Moszyński et al.; 2021 BPASTS, 1-10 [DOI: 10.24425/bpasts.2021.139391]
• „Neuromorphic Computing in High Energy Physics” (2020)🔗
  B. Borzyszkowski, M. Pierini, J. Vlimant; 2020 CERN Zenodo [DOI: 10.5281/zenodo.3755310]

Teaching

• NX-414: “Brain-like computation and intelligence”, EPFL Master Course 2022/23
• BIO-210: “Applied software engineering for life sciences”, EPFL Bachelor Course 2022/23

Research Internships

• 2020 - CERN (Geneva, Switzerland)
• 2019 - USFQ (Quito, Ecuador)
• 2019 - CERN (Geneva, Switzerland)
• 2018 - Karunya (Coimbatore, India)