About Alvaro Moraes Alvaro Moraes Postdoctoral Research Fellow, Stochastic Numerics Research Group uncertainty quantification Alvaro Moraes worked as a Postdoctoral Fellow at Professor Raul F. Tempone's Stochastic Numerics Research Group at King Abdullah University of Science and Technology (KAUST). Prior to that, Alvaro obtained a Ph.D. degree in Applied Mathematics from KAUST. Research Interests Alvaro's research interests included Uncertainty Quantification, Multiscale Modeling of Epidemic Diseases, and their Statistical Analysis and Simulation and Inference for Pure Jump Processes. Selected Publications A. Moraes, F. Ruggeri, R. Tempone and P. Vilanova, " Multiscale Modeling of Wear Degradation in Cylinder Articles Related News January 2016 Dr. Alvaro Moraes accepted a position at Saudi Aramco 1 min read · Sun, Jan 17 2016 News Alvaro is a founding class member of KAUST. He obtained his Ph.D. in Applied Math in January 2015 under the supervision of Prof. Raul Tempone. During his Ph.D., Alvaro coauthored five research articles in refereed journals related to numerical methods and algorithms for pure jump Markovian processes. In 2013, Alvaro was the recipient of the KAUST Academic Excellence Award. November 2015 Dr. Alvaro Moraes will teach a short course at Séminaire Bachelier Paris, November 20, 2015 1 min read · Fri, Nov 20 2015 News Dr. Alvaro Moraes will teach the short course "Pure jump processes and Multilevel Monte Carlo" at Séminaire Bachelier Paris, November 20, 2015. September 2015 Dr. Alvaro Moraes will give a minisymposium talk at the International Conference on Scientific Computation And Differential Equations 2015 (SciCADE 2015), September 14-18, Potsdam, Germany 1 min read · Wed, Sep 16 2015 News In this work, we present an extension to the context of Stochastic Reaction Networks (SRNs) of the forward-reverse representation introduced in "Simulation of forward-reverse stochastic representations for conditional diffusions", a 2014 paper by Bayer and Schoenmakers. July 2015 Dr. Alvaro Moraes will give two invited talks at Centro de Matemática (CMAT), Montevideo - Uruguay 1 min read · Fri, Jul 31 2015 News In this talk, we present a novel multilevel Monte Carlo method for kinetic simulation of stochastic reaction networks characterized by fast and slow reaction channels. To produce efficient simulations, we automatically classify the reaction channels into fast and slow classes. To this end, we first introduce the concept of the level of activity of a reaction channel, which depends on the current state of the system. Dr. Alvaro Moraes will give a contributed talk at the 10th IMACS Seminar on Monte Carlo Methods (MCM 2015), July 6-10, 2015, Linz, Austria 1 min read · Wed, Jul 8 2015 News n this work, we present an extension to the context of Stochastic Reaction Networks (SRNs) of the forward-reverse representation introduced in "Simulation of forward-reverse stochastic representations for conditional diffusions", a 2014 paper by Bayer and Schoenmakers. Dr. Alvaro Moraes will present a poster at Workshop on Mathematical Trends in Reaction Network Theory, July 1-3, 2015, Copenhagen, Denmark 1 min read · Wed, Jul 1 2015 News In this work, we present a novel multilevel Monte Carlo method for kinetic simulation of stochastic reaction networks characterized by fast and slow reaction channels. To produce efficient simulations, we automatically classify the reaction channels into fast and slow classes. To this end, we first introduce the concept of the level of activity of a reaction channel, which depends on the current state of the system. June 2015 Prof. Raul Tempone and Dr. Alvaro Moraes will teach the course "Simulation and Inference of Stochastic Reaction Networks" at the department of Mathematics and Statistics of KTH (Royal Institute of Technology) in Stockholm 1 min read · Wed, Jun 10 2015 News The course will be given over three days, two classes/day of 50 + 50 minutes each (one in the morning and one in the afternoon). This entails approximately eleven hrs of lectures in total. May 2015 Chiheb Ben Hammouda successfully defended his MS Thesis 2 min read · Mon, May 4 2015 News On April 30th, 2015, Chiheb Ben Hammouda successfully defended his MS Thesis entitled "Drift-Implicit Multi-Level Monte Carlo Tau-Leap Methods for Stochastic Reaction Networks". January 2015 Alvaro Moraes successfully defended his PhD thesis 1 min read · Tue, Jan 27 2015 News On Jan 26th, 2015, Alvaro Moraes successfully defended his Ph.D. thesis entitled “Simulation and Statistical Inference of Stochastic Reaction Networks with Applications to Epidemic Models”. AMCS - PhD Thesis Defense: Simulation and Statistical Inference of Stochastic Reaction Networks with Applications to Epidemic Models By Alvaro Moraes (PhD Student of Prof. Raul Tempone, KAUST) 1 min read · Mon, Jan 26 2015 News Simulation and Statistical Inference of Stochastic Reaction Networks with Applications to Epidemic Models By Alvaro Moraes (PhD Student of Prof. Raul Tempone, KAUST). SRI UQ Annual Workshop 2015 1 min read · Tue, Jan 6 2015 News Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2015). December 2014 Prof. Raul Tempone was plenary speaker at the Foundations of Computational Mathematics conference, FOCM 2014 - Montevideo, Uruguay 1 min read · Tue, Dec 16 2014 News Prof. Raul Tempone was a plenary speaker at the Foundations of Computational Mathematics conference, FOCM 2014 - Montevideo, Uruguay, December 11 - 20, 2014. August 2014 SIAM NEWS: International Agenda for KAUST’s UQ Center 1 min read · Fri, Aug 1 2014 News July 2014 PhD student Alvaro Moraes has given an invited talk at CALTECH at Pasadena-USA 1 min read · Tue, Jul 1 2014 News Ph.D. student Alvaro Moraes has given an invited talk at CALTECH at Pasadena-USA on Multiscale inference for pure jump processes. March 2014 The Stochastic-Numerics PhD Candidate, Alvaro Moraes, obtained the KAUST Academic Excellence Award 1 min read · Mon, Mar 24 2014 News The Stochastic-Numerics Ph.D. Candidate, Alvaro Moraes, obtained the KAUST Academic Excellence Award. This award is given to founding students who have distinguished themselves in their academic studies and research at KAUST. SIAM President, Professor Irene Fonseca (Department of Mathematics, Carnegie-Mellon University), visited the Strategic Research Initiative on Uncertainty Quantification on March 9th, 2014 1 min read · Sun, Mar 9 2014 News SIAM President, Professor Irene Fonseca (Department of Mathematics, Carnegie-Mellon University), visited the Strategic Research Initiative on Uncertainty Quantification on March 9th, 2014. Irene Fonseca's research program is at the interface between pure and applied analysis and is motivated by applications in the physical sciences and engineering. December 2013 PhD students Abdul Lateef Haji Ali, Alvaro Moraes, and Pedro Vilanova participated in a poster session in the IX ERPEM - Ninth Regional Meeting on Probability and Mathematical Statistics - Balneario Solís, Uruguay 1 min read · Mon, Dec 9 2013 News Ph.D. students Abdul Lateef Haji Ali, Alvaro Moraes, and Pedro Vilanova participated in a poster session in the IX ERPEM - Ninth Regional Meeting on Probability and Mathematical Statistics - Balneario Solís, Uruguay, from December 9 to December 11, 2013. October 2013 PhD student Alvaro Moraes gave an invited talk at Royal Institute of Technology (KTH) 1 min read · Thu, Oct 17 2013 News Ph.D. student Alvaro Moraes has given an invited talk at Royal Institute of Technology (KTH) at Stockholm-Sweden on Multilevel Monte Carlo hybrid Chernoff tau leap method for stochastic simulation of chemical reaction networks.
Dr. Alvaro Moraes accepted a position at Saudi Aramco 1 min read · Sun, Jan 17 2016 News Alvaro is a founding class member of KAUST. He obtained his Ph.D. in Applied Math in January 2015 under the supervision of Prof. Raul Tempone. During his Ph.D., Alvaro coauthored five research articles in refereed journals related to numerical methods and algorithms for pure jump Markovian processes. In 2013, Alvaro was the recipient of the KAUST Academic Excellence Award.
Dr. Alvaro Moraes will teach a short course at Séminaire Bachelier Paris, November 20, 2015 1 min read · Fri, Nov 20 2015 News Dr. Alvaro Moraes will teach the short course "Pure jump processes and Multilevel Monte Carlo" at Séminaire Bachelier Paris, November 20, 2015.
Dr. Alvaro Moraes will give a minisymposium talk at the International Conference on Scientific Computation And Differential Equations 2015 (SciCADE 2015), September 14-18, Potsdam, Germany 1 min read · Wed, Sep 16 2015 News In this work, we present an extension to the context of Stochastic Reaction Networks (SRNs) of the forward-reverse representation introduced in "Simulation of forward-reverse stochastic representations for conditional diffusions", a 2014 paper by Bayer and Schoenmakers.
Dr. Alvaro Moraes will give two invited talks at Centro de Matemática (CMAT), Montevideo - Uruguay 1 min read · Fri, Jul 31 2015 News In this talk, we present a novel multilevel Monte Carlo method for kinetic simulation of stochastic reaction networks characterized by fast and slow reaction channels. To produce efficient simulations, we automatically classify the reaction channels into fast and slow classes. To this end, we first introduce the concept of the level of activity of a reaction channel, which depends on the current state of the system.
Dr. Alvaro Moraes will give a contributed talk at the 10th IMACS Seminar on Monte Carlo Methods (MCM 2015), July 6-10, 2015, Linz, Austria 1 min read · Wed, Jul 8 2015 News n this work, we present an extension to the context of Stochastic Reaction Networks (SRNs) of the forward-reverse representation introduced in "Simulation of forward-reverse stochastic representations for conditional diffusions", a 2014 paper by Bayer and Schoenmakers.
Dr. Alvaro Moraes will present a poster at Workshop on Mathematical Trends in Reaction Network Theory, July 1-3, 2015, Copenhagen, Denmark 1 min read · Wed, Jul 1 2015 News In this work, we present a novel multilevel Monte Carlo method for kinetic simulation of stochastic reaction networks characterized by fast and slow reaction channels. To produce efficient simulations, we automatically classify the reaction channels into fast and slow classes. To this end, we first introduce the concept of the level of activity of a reaction channel, which depends on the current state of the system.
Prof. Raul Tempone and Dr. Alvaro Moraes will teach the course "Simulation and Inference of Stochastic Reaction Networks" at the department of Mathematics and Statistics of KTH (Royal Institute of Technology) in Stockholm 1 min read · Wed, Jun 10 2015 News The course will be given over three days, two classes/day of 50 + 50 minutes each (one in the morning and one in the afternoon). This entails approximately eleven hrs of lectures in total.
Chiheb Ben Hammouda successfully defended his MS Thesis 2 min read · Mon, May 4 2015 News On April 30th, 2015, Chiheb Ben Hammouda successfully defended his MS Thesis entitled "Drift-Implicit Multi-Level Monte Carlo Tau-Leap Methods for Stochastic Reaction Networks".
Alvaro Moraes successfully defended his PhD thesis 1 min read · Tue, Jan 27 2015 News On Jan 26th, 2015, Alvaro Moraes successfully defended his Ph.D. thesis entitled “Simulation and Statistical Inference of Stochastic Reaction Networks with Applications to Epidemic Models”.
AMCS - PhD Thesis Defense: Simulation and Statistical Inference of Stochastic Reaction Networks with Applications to Epidemic Models By Alvaro Moraes (PhD Student of Prof. Raul Tempone, KAUST) 1 min read · Mon, Jan 26 2015 News Simulation and Statistical Inference of Stochastic Reaction Networks with Applications to Epidemic Models By Alvaro Moraes (PhD Student of Prof. Raul Tempone, KAUST).
SRI UQ Annual Workshop 2015 1 min read · Tue, Jan 6 2015 News Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2015).
Prof. Raul Tempone was plenary speaker at the Foundations of Computational Mathematics conference, FOCM 2014 - Montevideo, Uruguay 1 min read · Tue, Dec 16 2014 News Prof. Raul Tempone was a plenary speaker at the Foundations of Computational Mathematics conference, FOCM 2014 - Montevideo, Uruguay, December 11 - 20, 2014.
PhD student Alvaro Moraes has given an invited talk at CALTECH at Pasadena-USA 1 min read · Tue, Jul 1 2014 News Ph.D. student Alvaro Moraes has given an invited talk at CALTECH at Pasadena-USA on Multiscale inference for pure jump processes.
The Stochastic-Numerics PhD Candidate, Alvaro Moraes, obtained the KAUST Academic Excellence Award 1 min read · Mon, Mar 24 2014 News The Stochastic-Numerics Ph.D. Candidate, Alvaro Moraes, obtained the KAUST Academic Excellence Award. This award is given to founding students who have distinguished themselves in their academic studies and research at KAUST.
SIAM President, Professor Irene Fonseca (Department of Mathematics, Carnegie-Mellon University), visited the Strategic Research Initiative on Uncertainty Quantification on March 9th, 2014 1 min read · Sun, Mar 9 2014 News SIAM President, Professor Irene Fonseca (Department of Mathematics, Carnegie-Mellon University), visited the Strategic Research Initiative on Uncertainty Quantification on March 9th, 2014. Irene Fonseca's research program is at the interface between pure and applied analysis and is motivated by applications in the physical sciences and engineering.
PhD students Abdul Lateef Haji Ali, Alvaro Moraes, and Pedro Vilanova participated in a poster session in the IX ERPEM - Ninth Regional Meeting on Probability and Mathematical Statistics - Balneario Solís, Uruguay 1 min read · Mon, Dec 9 2013 News Ph.D. students Abdul Lateef Haji Ali, Alvaro Moraes, and Pedro Vilanova participated in a poster session in the IX ERPEM - Ninth Regional Meeting on Probability and Mathematical Statistics - Balneario Solís, Uruguay, from December 9 to December 11, 2013.
PhD student Alvaro Moraes gave an invited talk at Royal Institute of Technology (KTH) 1 min read · Thu, Oct 17 2013 News Ph.D. student Alvaro Moraes has given an invited talk at Royal Institute of Technology (KTH) at Stockholm-Sweden on Multilevel Monte Carlo hybrid Chernoff tau leap method for stochastic simulation of chemical reaction networks.
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