基本信息
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个人简介
Paola Lecca received the master's degree, in theoretical physics, and the PhD degree, in computer science and telecommunications. She has worked for several years since its inception as a researcher and principal investigator at the Microsoft Research - University of Trento, Centre for Computational and Systems Biology (Italy), where she led the Knowledge Inference and Data Management research team. She was then a researcher in the Mathematics Department of the University of Trento (Italy) where she carried out the studies that led to the realization of this work as well as studies on hybrid stochastic dynamics models. Currently, she is an assistant professor with the Faculty of Computer Science of the Free University of Bozen-Bolzano, Italy. Her main research activities focus on computational modelling and algorithmic procedures implementing efficient solutions for identiafiability, controllability, and simulation of complex dynamical networks. The main applicative domains of these studies are network biology, biochemistry, biological physics, microbiology, and synthetic biology.
研究兴趣
论文共 164 篇作者统计合作学者相似作者
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BMC pharmacology & toxicologyno. Suppl 1 (2025): 123-123
SpringerBriefs in Statistics (2024)
Journal of Physics Conference Seriesno. 1 (2024)
SpringerBriefs in Statistics Identifiability and Regression Analysis of Biological Systems Modelspp.89-110, (2024)
SpringerBriefs in Statistics Identifiability and Regression Analysis of Biological Systems Modelspp.45-69, (2024)
SpringerBriefs in Statistics Identifiability and Regression Analysis of Biological Systems Modelspp.33-43, (2024)
SpringerBriefs in Statistics Identifiability and Regression Analysis of Biological Systems Modelspp.1-15, (2024)
Techniques in life science and biomedicine for the non-expertpp.19-27, (2023)
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Frontiers in Artificial Intelligence (2023)
Introduction to Mathematics for Computational Biology Techniques in Life Science and Biomedicine for the Non-Expertpp.115-138, (2023)
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作者统计
#Papers: 163
#Citation: 1631
H-Index: 24
G-Index: 35
Sociability: 5
Diversity: 2
Activity: 8
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