Talks

2015

1. Accuracy of the Michaelis-Menten approximation when analyzing the effects of molecular noise, SIAM SIAM Computational Science and Engineering, CSE, Salt Lake City.

2014

1. Member of a panel on software, BIRS Workshop on Particle-Based Stochastic Reaction-Diffusion Models in Biology, Banff, Canada.
2. Accuracy of the Michaelis-Menten approximation when analyzing the effects of molecular noise, BIRS Workshop on Particle-Based Stochastic Reaction-Diffusion Models in Biology, Banff, Canada.
3. Accuracy of the Michaelis-Menten approximation when analyzing the effects of molecular noise, SIAM Annual Meeting, Chicago, 2014.
4. Spatial stochastic modeling of intracellular pathways. ECMBT 2014, Gothenburg, Sweden. (Talk)

2013

1. Efficient simulation of stochastic reaction-diffusion kinetics via operator splitting. SIAM Computational Science and Engineering, CSE, Boston MA. (Talk)
2. Spatial stochastic simulation of the Hes1 pathway. SIAM Computational Science and Engineering, CSE, Boston MA. (Talk) [Listen to the talk here]
3. Intrinsic noise can explain heterogeneity in embyonic stem cell differentiation. The First Winter q-Bio Meeting, Waikiiki, Hawaii. (Talk)
4. Spatial stochastic simulation with URDME: applications. INCF Multiscale Modeling: Methods in bridging subcellular and cellular level models (Talk)

2012

1. Bridging mesoscopic and microscopic simulations of reaction-difffusion kinetics, Scale transitions in chemistry and biology, Edinburg, Scotland. (Talk)
2. Multiscale simulation of reaction-diffusion kinetics in the URDME software framework Stochastic modelling of reaction-diffusion processes in biology, Oxford. (Poster)
3. URDME: A flexible framework for stochastic reaction-diffusion simulations. Scale transitions in chemistry and biology, Edinburg, Scotland.(Poster)
4. URDME: A flexible framework for stochastic reaction-diffusion simulations. 2nd Annual Southern California Systems Biology Conference (SoCal SysBio), Irvine, USA. (Poster)

2011

1. Multiscale stochastic simulation of reaction-transport processes. 3rd Workshop on Stochasticity in Biochemical Reaction Networks, BIRS International Research Station, Banff, Canada. (Poster)
2. Incorporating active transport in mesoscopic models of reaction–transport processes inside the living cell. Gordon conference on Stochastic processes in Physisics and Biology, Ventura, USA. (Poster)

2010

1. Incorporating active transport in mesoscopic models of reaction–transport processes inside the living cell. BIT 50 – Trends in Numerical Computing, BIT 50, Lund, Sweden. (Talk)
2. Incorporating active transport in mesoscopic models of reaction–transport processes inside the living cell. Department of Computer Science, University of California–Santa Barbara. (Talk)
3. Incorporating active transport in mesoscopic models of reaction-transport processes inside the living cell. The 11th International Conference on Systems Biology (ICSB) 2010, Edinburgh, Scotland (Poster)

2009

1. Incorporating active transport in stochastic mesoscopic models of biochemical kinetics in the living cell.The first Swedish meeting on Theory and Mathematics in Biology and Medicine, Uppsala. (Talk)
2. Adaptive stochastic hybrid simulation of biochemical reaction-diffusion processes on unstructured meshes. Department for Applied and Numerical Mathematics, Karlsruhe Institute of Technology. (Talk)
3. Monte Carlo simulation of biochemical reaction networks on the Cell Broadband Engine. The European Conference on Numerical Mathematics and Advanced Applications, ENUMATH, 2009, Uppsala. (Talk)
4. Adaptive stochastic hybrid simulation of biochemical reaction-diffusion processes. Department of Computer Science, University of California–Santa Barbara. (Talk)
5. Adaptive hybrid stochastic simulation of reaction-diffusion models. The 10th International Conference of Systems Biology (ICSB 2009), Stanford, Palo Alto. (Poster)
6. Adaptive hybrid stochastic simulation of reaction-diffusion models.  Foundations of Systems Biology in Engineering 2009 (FOSBE 2009), Denver. (Poster)

2008

1. Numerical simulation of well-stirred biochemical reaction networks governed by the master equation. The Fraunhofer-Chalmers Research Centre for Industrial Mathematics, Gothenburg. (Talk)
2. Simulation of the reaction-diffusion equation on unstructured meshes. The 9th International Conference of Systems Biology (ICSB2008), Gothenburg. (Poster)
3. Simulation of spatially inhomogeneous cellular reaction networks on unstructured meshes, The Annual meeting of the Society of Mathematical Biology (SMB), Toronto.(Poster)
4. Simulation of the reaction-diffusion master equation on unstructured meshes in molecular cell biology, SIAM Meeting on the Life Sciences, Montreal. (Poster)

2007

1. Hybrid method for the master equation. The 2nd workshop on mathematical aspects of systems biology, Gothenburg. (Poster)

2006

1. A Hybrid Method for the Chemical Master Equation. The BIT Numerical Mathematics Circus 2006, Stockholm, Sweden. (Talk)