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Daniel Lobo

Assistant Professor

Biological Sciences
Computer Science and Electrical Engineering
Biological Sciences, Room 115
Other, Tufts University (2015)
Ph D, University of Malaga (2010)
MS, University of Malaga (2007)
BS, University of Seville (2005)
Research Interests

What are the dynamic regulatory mechanisms, the information processing, and the specific molecular elements that control complex biological processes? We develop new computational systems and methods to automatically reverse-engineer quantitative dynamic models from experimental data, produce testable hypothesis, and find the best next set of novel experiments to test at the bench. Our computational systems biology approach aims to understand the regulatory dynamics controlling multidimensional biological phenomena such as development and regeneration, the formation of cancer and other diseases when this process goes awry, and their applications to systems and synthetic biology. To this end, we also create mathematical and computational models, high-performance in silico experiments and simulators, and novel formalisms, ontologies, and databases to centralize and unambiguously describe biological experiments and their results.

Teaching Interests

BIOL 415/615 - Systems Biology

Intellectual Contributions

vol. 7 41339 Scientific Reports

vol. 381 229–249 Information Sciences

17 vol. 32 2681–2685 Bioinformatics

2 vol. 3 78–102 Regeneration

4 vol. 23 291–297 Journal of Computational Biology

Artificial Neural Network Modelling vol. 628 45–65 Springer International Publishing

Advances in Unconventional Computing. Volume 2: Prototypes, Models and Algorithms 637–654 Switzerland Springer International Publishing

11 vol. 16 27865–27896 International Journal of Molecular Sciences

vol. 1288 F1000Research

397 vol. 8 ra99 Science Signaling