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 Repositories 🔗

  • AlpineLLM: A domain-specific language model for alpine storytelling 🔗
    Architected and pretrained a base language model to generate stories about alpinism
  • DeepGrasp: Modeling digital humans with task-driven learning 🔗
    Trained multi-head Graph Convolutional Networks (GCNs) to model human behavior
  • HOPE Generator: Large-scale synthesis of human–object interactions 🔗
    Generated a dataset of realistic human movements using physically grounded avatars

Selected Enterprise Projects

  • BeEmotion Insights - Video analytics platform with comprehensive AI capabilities 🔗
    Cloud-based inference platform for emotion analysis with scalable machine learning pipelines
  • Intel Geti™ - Scalable open edge platform for cross-functional teams 🔗
    Enterprise computer vision platform for training, optimizing, and deploying AI models

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)