Robin Gras work email
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Robin Gras personal email
I am Professor in the School of Computer Science at the university of Windsor and CSO and partner at Movyl Technology and MVYL Associates (San Francisco). I am cross-appointed by the Biology Department and the Great Lakes Institute for Environmental Research. My domains of research are: Machine Learning, Artificial Intelligence, Deep Learning, Artificial Life, Theoretical Biology, Agent Based modeling, Bioinformatics, Combinatorial Optimization.With Mvyl associates, we propose AI consulting for helping small, medium and large companies acquiring the knowledge and tools needed to integrate and execute AI in their strategy roadmap. With Movyl Technologies, we offer an AI automation platform to discover and automatically share unique content tailored to your social media accounts.Keywords: #machinelearning #artificialintelligence #AI #deeplearning #dataanalysis
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Full ProfessorUniversity Of WindsorWindsor, On, Ca -
Full ProfessorUniversity Of Windsor Jul 2006 - PresentWindsor, OnI study the evolutionary process and the emergence of species in a simulated ecosystem. I have conceived an individual-based evolving predator-prey ecosystem simulation. The agents evaluate their environment (e.g., distance to predator/prey, distance to potential breeding partner, distance to food, energy level), their internal states (e.g., fear, hunger, curiosity) and choose among several possible actions such as evasion, eating or breeding. The behavioral model of each individual is unique and is the outcome of the evolution process. One major and unique contribution of this simulation is that it combines a behavioral, an evolutionary and a speciation mechanism. This is the only simulation modeling the fact that individual behaviors affect evolution and speciation. This approach allows interesting studies on theoretical ecology and artificial life in collaboration with biologists. For example, this approach is used to study the species abundance distribution, patterns and rates of speciation, the evolution of sexual and asexual populations, the interaction and diffusion of an invasive species or a disease in an existing ecosystem, etc. More information are available at: http://sites.google.com/site/ecosimgroup/research/ecosystem-simulation -
Full ProfessorUniversity Of Windsor Sep 2012 - PresentGreat Lakes Institute Of Environmental Research -
Full ProfessorUniversity Of Windsor Mar 2007 - PresentBiology Department -
PartnerMvyl Associates Nov 2017 - PresentSan Francisco, CaMVYL is an International digital strategy boutique. We help influential organizations transform into digital leaders through the adoption of cutting edge technology and creativity. Our team includes former C-level executives with experience working in both very large companies and startups. We are experts in integrating media, advanced technology, A.I. / M.L., and data modeling in a coherent growth and innovation strategy. -
Acting CsoMovyl Technologies Jul 2017 - PresentSan Francisco Bay Area -
ConsultantMovyl Technologies Jun 2016 - PresentRégion De La Baie De San Francisco, États-Unis -
Senior ScientistSwiss Institute Of Bioinformatics 1998 - 2004Geneva -
ConsultantGeneprot Inc. Jan 2000 - Oct 2002Région De Genève, Suisse
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LecturerInria Sep 1997 - Jul 1998
Robin Gras Skills
Robin Gras Education Details
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Computer Science -
Informatique -
Math-Physique
Frequently Asked Questions about Robin Gras
What company does Robin Gras work for?
Robin Gras works for University Of Windsor
What is Robin Gras's role at the current company?
Robin Gras's current role is Full Professor.
What is Robin Gras's email address?
Robin Gras's email address is rg****@****dsor.ca
What schools did Robin Gras attend?
Robin Gras attended Université De Rennes I, Université De Rennes I, Université De Rennes I.
What are some of Robin Gras's interests?
Robin Gras has interest in Predator Prey Model, Optimization, Bioinformatics, Machine Learning, Evolution, Artificial Life, Ecosystem Simulation, Theoretical Biology.
What skills is Robin Gras known for?
Robin Gras has skills like Bioinformatics, Machine Learning, Computer Science, Research, Data Analysis, Artificial Intelligence, Science, Algorithms, Programming, Simulations, Evolutionary Biology, Optimization.
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Robin Gras
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