Daniel Lobo
Assistant Professor
| Phone |
410-455-5726
|
|---|---|
| lobo@umbc.edu | |
| Education |
Postdoc, Tufts University (2015)
Ph D, University of Malaga (2010)
MS, University of Malaga (2007)
BS, University of Seville (2005)
|
| Website | http://lobolab.umbc.edu |
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
BIOL 313 - Introduction to Bioinformatics and Computational Biology
Intellectual Contributions
(2017) Modeling regenerative processes with Membrane Computing Information Sciences
(2017) Discovering novel phenotypes with automatically inferred dynamic models: a partial melanocyte conversion in Xenopus Scientific Reports
(2017) Computing a Worm: Reverse-Engineering Planarian Regeneration Advances in Unconventional Computing: Emergence, Complexity and Computation Switzerland Springer International Publishing
(2016) Computational discovery and in vivo validation of hnf4 as a regulatory gene in planarian regeneration Bioinformatics
(2016) Physiological controls of large-scale patterning in planarian regeneration: a molecular and computational perspective on growth and form Regeneration
(2016) MoCha: Molecular Characterization of Unknown Pathways Journal of Computational Biology
(2016) Artificial neural networks as models of robustness in development and regeneration: stability of memory during morphological remodeling Artificial Neural Network Modelling Springer International Publishing
(2015) Gap Junctional Blockade Stochastically Induces Different Species-Specific Head Anatomies in Genetically Wild-Type Girardia dorotocephala Flatworms International Journal of Molecular Sciences
(2015) A dynamic architecture of life F1000Research
(2015) Serotonergic regulation of melanocyte conversion: A bioelectrically regulated network for stochastic all-or-none hyperpigmentation Science Signaling