معرفی
Dr. Sandra Diaz Pier is a Scientific Lead at the Jülich Supercomputing Centre (JSC) within the Jülich Research Centre, Germany. Specializing in computational neuroscience, high performance computing (HPC), and machine learning, she bridges neuroscience and advanced computational methods through her research.
Education:
- B.Sc. in Electronic Systems Engineering, Mexico
- M.Sc. in Computer Science (focus: machine learning, quantum computing), Mexico
- Second M.Sc. in Electrical Engineering, Ontario, Canada
- Ph.D. in Computer Science, Germany (2021)
Her research focuses on modeling and simulating brain dynamics and plasticity at multiple scales, leveraging HPC to accelerate large-scale neural network simulations. She actively contributes to EU projects like the Human Brain Project (HBP), Virtual Brain Cloud, and EBRAINS 2.0, emphasizing infrastructure development and educational training. Her work includes open-source tools such as the NEST simulator, The Virtual Brain, and L2L, enabling efficient parameter exploration and multiscale co-simulation frameworks.
The 15 most recent publications highlight her interdisciplinary approach, spanning topics from quantum computing in biomolecular simulations to neural plasticity algorithms and cloud-based brain modeling. These articles reflect her expertise in integrating machine learning, multi-scale simulation, and HPC infrastructure for neuroscience challenges, including seizure propagation, Parkinson’s disease progression, and swarm intelligence in spiking networks.
She leads technical coordination in projects like EBRAINS and serves as a task leader in the HBP infrastructure work package, while also organizing workshops and hackathons for open-source tools. Her role involves supporting domain scientists through methodological research and workflow optimization for brain simulations.
