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 |
| CV | View CV |
Research Interests
What are the dynamic regulatory mechanisms, the information processing, and the specific molecular elements that control complex biological processes? At the Lobo Lab we develop new computational and mathematical methods to build quantitative dynamic models, produce testable hypothesis, and validate them in vivo with molecular assays at the bench. Our integrated 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 737 - Research Seminar in Bioinformatics and Computational Biology
BIOL 615 - Systems Biology (graduate)
BIOL 415 - Systems Biology
BIOL 313 - Introduction to Bioinformatics and Computational Biology
Intellectual Contributions
(2021) Inference of Dynamic Spatial GRN Models with Multi-GPU Evolutionary Computation Briefings in Bioinformatics
(2021) Computational systems biology of morphogenesis Computational Systems Biology in Medicine and Biotechnology Springer
(2021) Formalizing Phenotypes of Regeneration Whole Body Regeneration Springer
(2020) Kinetic modeling of microbial growth, enzyme activity, and gene deletions: an integrated model of β-glucosidase function in Cellvibrio japonicus Biotechnology and Bioengineering
(2020) Fluxer: a web application to compute, analyze, and visualize genome-scale metabolic flux networks Nucleic Acids Research
(2020) Curation and annotation of planarian gene expression patterns with segmented reference morphologies Bioinformatics
(2019) Continuous dynamic modeling of regulated cell adhesion: sorting, intercalation, and involution Biophysical Journal
(2019) Cross-inhibition of Turing patterns explains the self-organized regulatory mechanism of planarian fission Journal of Theoretical Biology
(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) Artificial neural networks as models of robustness in development and regeneration: stability of memory during morphological remodeling Artificial Neural Network Modelling Springer International Publishing
(2016) MoCha: Molecular Characterization of Unknown Pathways Journal of Computational Biology
(2015) A dynamic architecture of life F1000Research
(2015) Gap Junctional Blockade Stochastically Induces Different Species-Specific Head Anatomies in Genetically Wild-Type Girardia dorotocephala Flatworms International Journal of Molecular Sciences
(2015) Serotonergic regulation of melanocyte conversion: A bioelectrically regulated network for stochastic all-or-none hyperpigmentation Science Signaling