Scholar
David Holcman
Google Scholar ID: E73vfy8AAAAJ
Ecole Normale Superieure, Paris and Churchill College, University of Cambridge
Citations & Impact
Citations
4,470
H-index
35
i10-index
99
Publications
20
Co-authors
58
list available
Contact
Publications
Resume (English only)
Research Experience
- Leading the Group of Data Modeling, Computational Biology and Predictive Medicine, Applied Mathematics. Aiming to advance our understanding of complex biological systems and develop medical methods through the integration of computational techniques, mathematical modeling & simulations, and AI-(Artificial Intelligent) statistical data organization and classification.
Background
- Main interests include developing computational methods and algorithms in Neuroscience and Medicine to analyze large data sets such as trajectories, time series, model ionic interactions, and quantify spatial organization. This includes applications to Neurobiology like network reconstruction, analyzing calcium dynamics, voltage in nanodomains, cell migration patterns, neuro-glia communication dynamics, and complex interactions within these neural networks.
