Addiel de Alba is a graduate researcher in the Palsson lab.
I work with Genome-Scale reconstructions of metabolic networks and alternative methods of visualization.
2008–Present. PhD in Bioengineering. University of California San Diego, SD, CA, USA Systems Biology Research Group.
2006–May 2008 Master of Science in Eng. Electrical Engineering and Computer Science affiliation. Arts Computation Engineering (ACE) Graduate Program. University of California Irvine, CA, USA
1997-2002 B.S. Electronic Systems Engineer. Monterrey Institute of Technology ITESM. Guadalajara, Jalisco, Mexico
Addiel de Alba Solis is a CONACYT scholar, complexity scientist and interdisciplinary audiovisual artist. His current research focuses on complex systems in biology. He is qualified to a graduate level in biomedical imaging, computer visualization, MEMS devices, artificial life simulation, network modeling and evolution, non-linear dynamics and mathematical chaos from various institutions such as UCI, UCLA and the New England Complex Systems Institute.
His previous artistic work is related to the creation and engineering of sound and visual computer graphics, exploring new methods for the generation of embodied experiences and sensations. His practice is particularly concerned with re-framing audiovisual abstract composition by using pure mathematical methods within the discipline of complex systems. He has exhibited his artistic and technological work in different states in Mexico and at museums or technology venues in California, for example the Orange County Museum of Art, Cal-IT2 at UCI and the Beall Center for Art and Technology.
His main research and artistic work utilizes biological systems and artificial life representations to explore interactions among different functional physical entities (organic and synthetic). He has practiced sound design for the past ten years while pursuing academic scientific training, and holds a B.S. in Electrical Engineering from the ITESM Campus Guadalajara, Mexico. He holds a Master of Science in Engineering, Arts Computation Engineering (ACE) trans- disciplinary research graduate program at the University of California Irvine with Electrical Engineering and Computer Science interdisciplinary affiliation.
Projects for BE199 and Rotation students
Developing a Standalone application and algorithms for visualizing large genome-scale metabolic networks in Systems Biology.
Details: Skills that will be engaged/learned will be: knowledge of the modeling framework used in this research group, SMBL language, building simulators for metabolic networks, Visualization and Computer Imaging (2D,3D), network complexity, linear algebra. Successful completion (or current enrollment) of BE123 as well as being familiar with the topics above is a plus but not always necessary.
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