Talks


Talks and poster presentations held by GMMC members, 2006-February 2009.

Invited talks

  1. J. Almquist, System identification from spatiotemporal cell population data, invited lecture on the 9th International Conference on Systems Biology, Gothenburg, Sweden, August 2008.
  2. J. Almquist, H. Becker, C. Salzig, and H. Schmidt, Modeling the interplay between neurons and glial cells, 2nd Workshop on Mathematical Aspects of Systems Biology Göteborg, March 21–24, 2007.
  3. O. Häggström, Begreppsbildning i matematik, (diskussionsinledning). Forskarskolans Jubileumskonferens, Linköping, 2006 (in Swedish).
  4. O. Häggström, Counterexamples in the central limit theory of Markov chains, Microsoft Research, Redmond, Washington, 2007.
  5. O. Häggström, Coupling ideas in percolation theory, 5 hour lecture series. Institut Henri Poincaré fall school on random media, phase transitions and information theory, Paris, 2008.
  6. O. Häggström, Drömmen om den perfekta schackdatorn, Göteborgs Vetenskapsfestival, 2008 (in Swedish).
  7. O. Häggström, Evolution vs intelligent design, Göteborgs Vetenskapsfestival, 2007 (in Swedish).
  8. O. Häggström, Global uppvärmning och samhällsekonomiska kalkyler, Matematikbiennalen, Stockholm, 2008 (in Swedish).
  9. O. Häggström, Global uppvärmning och samhällsekonomiska kalkyler, Skolforum, Stockholm, 2008 (in Swedish).
  10. O. Häggström, Klimatfrågan: nationalekonomiska och etiska aspekter, GMV-dagen 2008, Göteborgs miljövetenskapliga centrum (in Swedish).
  11. O. Häggström, Lomborg on global warming, 14th Ulvön Conference on Environmental Economics, Ulvön, Sweden, 2007.
  12. O. Häggström, Markov chains in a percolation theorist's toolbox, London Mathematical Society Durham Symposium on Recent Developments in Random Walks, Durham, UK, 2007.
  13. O. Häggström, Matematiken och evolutionsläran, Skolforum, Stockholm, 2006 (in Swedish).
  14. O. Häggström, Matematiken som antidarwinistiskt tillhygge, Föreningen Vetenskap och Folkbildning, Stockholm, 2006 (in Swedish).
  15. O. Häggström, Matematikmissbruk i kampen mot Darwin, Dept. of Zoology, Göteborg University, 2006 (in Swedish).
  16. O. Häggström, A mathematician encounters the climate issue, Dept. of Meteorology, Stockholm University, 2008.
  17. O. Häggström, Mathematics, democracy, and Marquis de Condorcet's dream, Dept. of Economics, Stockholm School of Economics, 2007.
  18. O. Häggström, Mathematics, democracy, and Marquis de Condorcet's dream, Dept. of Forest Economics, Swedish University of Agricultural Sciences, Umeå, 2007.
  19. O. Häggström, No free lunch? How Dembski abuses mathematics to discredit Darwinism, Stochastic Approaches to Evolution, Göteborg, 2007.
  20. O. Häggström, Några kända argument för och emot Guds existens: en elak men rättvis granskning, Humanisterna Väst, Göteborg, 2008 (in Swedish).
  21. O. Häggström, Några överraskningar i teorin för asymptotisk normalitet i Markovkedjor, Dept. of Mathematical Statistics, Stockholm University, 2007 (in Swedish).
  22. O. Häggström, Om matematiken och evolutionsläran, Sonya Kovalevsky-dagarna, Göteborg, 2006 (in Swedish).
  23. O. Häggström, Om schack och andra spel – ur matematisk synvinkel, Göteborgs Vetenskapsfestival, 2006 (in Swedish).
  24. O. Häggström, Om slump och sannolikhet, Göteborgs Vetenskapsfestivals skolprogram 2008 (in Swedish).
  25. O. Häggström, Om slump, sannolikheter och evolution, Matematikbiennalen, Malmö, 2006 (in Swedish).
  26. O. Häggström, On the two cultures and the practicability of outside perspectives, Anders Martin-Löfs Symposium, Stockholm, 2007.
  27. O. Häggström, Optimering, evolution, och två typer av tillämpad matematik, Lunds matematiska sällskap, 2006 (in Swedish).
  28. O. Häggström, Optimization, evolution, and the two kinds of applied mathematics, Workshop on Self-Interacting Random Walks, EURANDOM, Eindhoven, 2006.
  29. O. Häggström, The pleasures and pains of studying the two-type Richardson model, LMS Workshop on Analysis and Stochastics of Growth Processes, Bath, 2006.
  30. O. Häggström, Problem solving is often a matter of cooking up an appropriate Markov chain, 21st Nordic Conference on Mathematical Statistics, Rebild, Denmark, 2006, plenary talk.
  31. O. Häggström, Problem solving is often a matter of cooking up an appropriate Markov chain, Jahrestagung der Deutschen Mathematiker-Vereinigung, Bonn, 2006, minisymposium on stochastic algorithms and Markov processes.
  32. O. Häggström, Problem solving is often a matter of cooking up an appropriate Markov chain, Dept. of Mathematics, Linköping University, 2007.
  33. O. Häggström, Random walk on a one-dimensional percolation cluster, DIMACS Workshop on Discrete Mathematics and Statistical Mechanics, Rutgers University, New Jersey, 2008.
  34. O. Häggström, Riktig vetenskap och dåliga imitationer, Humanisterna, Stockholm, 2008 (in Swedish).
  35. O. Häggström, Sannolikhetsteori på två nivåer, Lars Holst-symposiet, Stockholm, 2007 (in Swedish).
  36. O. Häggström, Vetenskap och ovetenskap, Hulebäcksgymnasiet, Mölnlycke, 2007 (in Swedish).
  37. O. Häggström, Vetenskap, pseudovetenskap, och gråzonen däremellan, Svenska statistikersamfundets årsmöte, Stockholm, 2007 (in Swedish).
  38. P. Jagers, Mathematical seminar, Lund University, Lund, Sweden, January 24, 2006.
  39. P. Jagers, Deutsche Stochastiktage, Frankfurt, Germany, March 14, 2006.
  40. P. Jagers, Eastern Mediterranean Mathematics Conference, Cyprus, June 1–4, 2006.
  41. P. Jagers, Vilnius Conference, Vilnius, Lithuania, June 26–30, 2006.
  42. P. Jagers, European Meeting of Statisticians, Toruń, Poland, July 24–28, 2006.
  43. P. Jagers, Dep. Math. Sciences, Monash University, Melbourne, Australia, February 2007.
  44. P. Jagers, International Statistical Institute, Lisbon, Portugal, August 2007.
  45. P. Jagers, Abdus Salam Int. Inst. Theoretical Physics, Trieste, Italy, September–October 2007.
  46. P. Jagers, Statistics Department, Oxford, United Kingdom, November 30, 2007.
  47. P. Jagers, Seminar at the Statistics Dep., Stanford, California, United States, January 8, 2008.
  48. P. Jagers, Seminar at Statistics Dep., Santa Barbara, California, January 16, 2008.
  49. P. Jagers, Conference Matematikk og Medisin, University of Oslo, Oslo, Norway, March 4, 2008.
  50. P. Jagers, European Conf. Math. Theoret. Biology, Edinburgh, United Kingdom, June 30–July 3, 2008.
  51. P. Jagers, University of Helsinki's summer school in mathematical ecology, Åbo, Finland, August 25–30, 2008.
  52. P. Jagers, Colloquium at the Steklov institute, Moscow, Russia, September 30, 2008.
  53. P. Jagers, Lecture series, Beijing Normal University, Beijing, China, October 17–23, 2008.
  54. P. Jagers, Seminar at the Math. Inst. of Chinese Acad. Sci., Beijing, China, October 27, 2008.
  55. P. Jagers, Varadhan Symposium, Cochin, Kerala, 6–9 February, 2009.
  56. P. Jagers, International Conference on Stochastic Modelling (ICSM 2009), Karaikudi, Tamilnadu, 12–14 February, 2009.
  57. P. Jagers, Visiting Scholar, Monash University, Melbourne, 15 February–8 March, 2009.
  58. P. Jagers, Random trees, invited talk at Mathematisches Forschungsinstitut Oberwolfach, 19–24 January, 2009.
  59. M. Jirstrand, Component based modeling of biochemical networks using pathwaylab, tutorial on the 9th International Conference on Systems Biology, Gothenburg, Sweden, August 2008.
  60. M. Jirstrand, Introduction to computational systems biology, invited lecture at Mälardalens högskola, April 2007.
  61. M. Jirstrand, Introduction to computational systems biology and tutorial on pathwaylab, Invited lecturer for The 2nd International Course in Yeast Systems Biology, Gothenburg, June 2007.
  62. M. Jirstrand, Modeling and simulation of fibrillation in canine atrial tissue, invited lecture at the NordForsk annual meeting on Atrial Fibrillation, Trolleholm, December 2008.
  63. M. Jirstrand, Parameter estimation in biochemical systems using prediction error minimization, invited lecture at RICAM Workshop on Systems Biology, Johann Radon Institute for Computational and Applied Mathematics (RICAM), Linz, November 5–9, 2007.
  64. M. Jirstrand, Parameter estimation in biochemical systems using prediction error minimization, invited lecture at a Systems Biology Workshop arranged by Skövde University, Hjo, October 2008.
  65. M. Jirstrand, Software tools – drag-n-drop modeling and nonlinear mixed effects modeling, Invited lecture on the 9th International Conference on Systems Biology, Gothenburg, Sweden, August 2008.
  66. M. Jirstrand, System identification in systems biology, invited lecture for the Open Day in Bioinformatics arranged by the National Research School in Genomics and Bioinformatics, University of Skövde, February 2006; and the Division of Scientific Computing, Department of Information Technology, Uppsala University, April 2006; and ITWM Colloquium «There is nothing more practical than a good theory», Kaiserslautern, September 2006.
  67. M. Jirstrand, Systems biology at the Fraunhofer-Chalmers Centre, invited talk at the annual Yeast Retreat workshop at Rörbäckstrand, August 2007.
  68. M. Patriksson, Biologically based IMRT optimization including uncertainties of input parameters, ESTRO 27, Gothenburg, Sweden, September 14–18, 2008.
  69. M. Patriksson, On the applicability of bilevel optimization models in transportation science: A study of the existence and robustness of solutions to SMPEC models, the symposium on Networks: Modelling and Control, organised by the Royal Society, London, September 24–25, 2007.
  70. M. Patriksson, Optimeringsmodeller i kvantitativ logistik: Omfattning och möjligheter, Eurolog/Logistics & Transport Conference 2008, Gothenburg, Sweden, May 20–22, 2008 (in Swedish).
  71. H. Rootzén, The bivariate generalized Pareto distribution and wind storm insurance, ISI, Lisbon, Portugal, August 2007.
  72. H. Rootzén, Empirical process theory for extreme clusters, CLAPEM 11, Lima, Peru, February 2007.
  73. H. Rootzén, Empirical process theory for extreme clusters, Extremes V, Bern, Switzerland, July 2007.
  74. H. Rootzén, Empirical process theory for extreme clusters, Levy Processes, Copenhagen, Denmark, August 2007.
  75. H. Rootzén, Empirical process theory for extreme clusters, IWAP, Compiègne, France, July 2008.
  76. H. Rootzén, Multivariate extreme value statistics – a risk management tool, SAMSI opening workshop on Risk Analysis, Research Triangle Park, North Carolina, USA, September 2007.
  77. H. Rootzén, Pitting corrosion: analysis of designed experiments with extreme value distributed responses, QPRC, Madison, Wisconsin, May 2008.
  78. H. Rootzén, Pitting corrosion: analysis of designed experiments with extreme value distributed responses, ISCA, New Brunswick, New Jersey, June 2008.
  79. H. Rootzén, Three extreme challenges: Wind storms, material fatigue, and corrosion, SAMSI workshop, Research Triangle Park, North Carolina, USA, January 2008.
  80. A. Särkkä, Anisotropy analysis of pressed point patterns in 3D, the French-Danish Workshop on Spatial Statistics and Image Analysis in Biology in Toulouse, May 13–16, 2008.
  81. A. Särkkä, Modelling spatial and longitudinal structure of the Temiryazevskaja dacha forest stand, the French-Danish Workshop on Spatial Statistics and Image Analysis in Biology, May 15–18, 2006, Skagen, Denmark.
  82. A. Särkkä, Some space-time models for tree growth, first Nordic-Baltic Biometric Conference, Research Centre Foulum, Denmark, 6–8 June, 2007; and the seminar in honour of Mats Rudemo, Chalmers, June 8, 2007; and Bernoulli Society satellite meeting of ISI'2007, Porto, Portugal, August 30–September 1, 2007.
  83. A. Särkkä, Space-time growth-interaction processes: parameter estimation, miniworkshop on spatial statistics and stochastic geometry, May 4–5, 2006, Jyväskylä, Finland.
  84. A. Särkkä, Stochastic geometry, spatial statistics and their applications, February 14–17, 2007 at Schloss Reisensburg, Gunzburg, Germany.
  85. H. Schmidt, Complexity reduction of biochemical reaction networks, Invited talk at the 2nd Workshop on Mathematical Aspects of Systems Biology, Gothenburg, Sweden, 2007.
  86. H. Schmidt, A systematic modeling framework for biochemical and biological systems, invited lecture for a course in Systems Biology arranged by the National biomedical PhD education program, Karolinska Institute, Stockholm, November 2006.
  87. H. Schmidt, Systems biology at FCC – from theory to application, Seminar at the Hamilton Institute, National University of Ireland, Maynooth, Ireland, 2007.
  88. H. Schmidt, A systems biology toolbox for Matlab, guest lecture for Computational Biology PhD Course, Institute for Cancer Research and Treatment, Turin, Italy, April 2006.
  89. M. Sunnåker, G. Cedersund, and H. Schmidt, A new method for model reduction based on time scale separation and lumping, 2nd Workshop on Mathematical Aspects of Systems Biology Göteborg, March 21–24, 2007.
  90. B. Wennberg, Brownian approximation and DSMC for the non-cutoff Kac equation, Workshop Classical and Quantum Mechanical Models of Many-Particle Systems, Oberwolfach, December 3–9, 2006.
  91. B. Wennberg, The Kac master equation with unbounded collision rates, Workshop Around the Boltzmann Equation, Institut Henri Poincaré, Paris, October 16–19, 2007.
  92. B. Wennberg, Parameter identification in Systems biology, First Bertinoro Systems Biology Workshop, May 20–25, 2007.
  93. B. Wennberg, Parameter identification in Systems biology, Workshop ODE & Biology, Royal Institute of Technology, July 9–11, 2007.
  94. B. Wennberg, Parameteridentifiering av modeller i systembiologi, Colloquium in Uppsala, January 2008 and in Växjö, August 2008 (in Swedish).
  95. B. Wennberg, Équation de Kac avec un thermostat, Première Journée SPINADA, Paris, October 12, 2006.
  96. N. Wermuth, Invited lecture at the S3RI Symposium on the Convergence of Methods for the Analysis, April 6–7, 2006, Southampton UK.
  97. N. Wermuth, Invited lecture at the 9th International Vilnius conference on Probability Theory and Mathematical Statistics June 25–30, 2006, Vilnius, Lithuania.
  98. N. Wermuth, Invited lecture at the international workshop Statistical latent variable models, September 6–8, 2006, Perugia, Italy.
  99. N. Wermuth, Invited lecture, Bayesian Focus week, SAMSI, October 30–November 3, 2006, Raleigh USA.
  100. N. Wermuth, Invited lecture, Random Matrices and Higher Dimensional Inference, Amer. Inst. Math, April 10–13, 2007, Palo Alto, USA.
  101. N. Wermuth, Invited lecture at the 56th Session of the Intern. Statist. Inst., August 22–29, 2007, Lisbon Portugal.
  102. N. Wermuth, Invited lecture at the London Math. Soc. Durham Symposium Mathematical Aspects of Graphical Models, June 30–July 10, 2008, Durham, UK.
  103. N. Wermuth, Invited lecture at the American Joint Statistical Meeting, August 2–7, 2008, Denver, USA.
  104. N. Wermuth, Invited lecture at the Department of Statistics, UCLA, November 16, 2006, Los Angeles, USA.
  105. N. Wermuth, Invited lecture at the Department of Statistics, Victoria Univ Wellington, November 27, 2006, Wellington, New Zealand.
  106. N. Wermuth, Invited lecture at the Department of Statistics, National Chengchi University, December 1, 2006, Taipei, Taiwan.
  107. N. Wermuth, Invited lecture at the Institute of Statistical Science, Academia Sinica, December 1, 2006, Taipei, Taiwan.
  108. N. Wermuth, Invited lecture at the Department of Statistics, University of Dortmund, December 7, 2006, Dortmund, Germany.
  109. N. Wermuth, Invited lecture at the Department of Computer Science, Technion, November 28, 2007, Haifa, Israel.
  110. N. Wermuth, Invited lecture for the Statistics Group at Astra Seneca, April 21, 2008, Gothenburg, Sweden.
  111. N. Wermuth, Invited lecture at the Department of Statistics, Carnegie Mellon University, October 9, 2008, Pittsburgh, USA.
  112. N. Wermuth, Invited lecture at the Department of Statistics, Ecol. Polytech. Lausanne Fed., October 21, 2008, Lausanne, Switzerland.
  113. N. Wermuth, Statistical Swedish winter course, invited lecture, Univ. Umea, March 6–19, 2006, Borgafjäll, Sweden.

Poster presentations

  1. J. Almquist, H. Schmidt, P. Lang, D. Prätzel-Wolters, J. W. Deitmer, M. Jirstrand, and H. M. Becker, A model reduction approach to the kinetics of the monocarboxylate transporter MCT1 and carbonic anhydrase II, the 9th International Conference on Systems Biology, Gothenburg, Sweden, August 2008.
  2. J. Almquist, M. Sunnåker, J. Hagmar, M. Kvarnström, and M. Jirstrand, System identification from spatiotemporal cell population data, the 9th International Conference on Systems Biology, Gothenburg, Sweden, August 2008.
  3. K. Bodvard, P. Sliwa, K. Logg, J. Almquist, M. Kvarnström, M. Jirstrand, A. Blomberg, and M. Käll, Systematic analysis of the RAS/cAMP/PKA signalling pathway using in vivo fluorescence microscopy, the 9th International Conference on Systems Biology, Gothenburg, Sweden, August 2008.
  4. G. Cedersund, H. Schmidt, and M. Jirstrand, Model reduction for various levels of model development, 7th International Conference in Systems Biology 2006, Yokohama, Japan, October 2006.
  5. M. Jirstrand, Parameter estimation in biochemical reaction networks – observer based prediction error minimization, 8th International Conference on Systems Biology, Long Beach, USA, October 2007.
  6. M. Jirstrand, H. Schmidt, and G. Cedersund, Parameter estimation using alternative cost functions, 7th International Conference in Systems Biology 2006, Yokohama, Japan, October 2006.
  7. D. Mojzita, A. Nahmany, H. Schmidt, and S. Hohmann, Dynamic modelling of thiamine regulation in saccharomyces cerevisiae based on high performance liquid chromatography (HPLC) measurements, international Specialised Symposium on Yeasts, Helsinki, Finland, June 2006.
  8. H. Schmidt, M. Jirstrand, and G. Cedersund, A systematic modeling framework for biochemical and biological systems, 7th International Conference in Systems Biology 2006, Yokohama, Japan, October 2006.
  9. M. Sunnåker and M. Jirstrand, A nonlinear mixed effects modeling toolbox for Matlab, EUFEPS Conference on Optimising Drug Discovery and Development, Basel, Switzerland, December 2007.
  10. M. Sunnåker, M. Berglund, B. Wennberg, M. Adiels, and M. Jirstrand, A Matlab toolbox for nonlinear mixed effects modeling – illustrated with a model for lipoprotein kinetics, the 9th International Conference on Systems Biology, Gothenburg, Sweden, August 2008.
  11. M. Sunnåker and M. Jirstrand, A nonlinear mixed effects modeling toolbox for Matlab, EUFEPS Conference on Optimising Drug Discovery and Development, Basel, Switzerland, December 2007.
  12. P. Zarrineh, H. Schmidt, and M. Jirstrand, Development of parameter estimation methods for biochemical reaction systems, 7th Swedish Bioinformatics Workshop, Stockholm, November 2006.

Published: Tue 27 Nov 2012. Modified: Wed 06 Feb 2019