Presentations

Talks

  1. Spatial models of postsynaptic signalling
    EMBL in the UK, Edinburgh, UK, 2018

  2. It's not what it looks like: Counter-intuitive effects in synaptic biochemistry
    Neural Dynamics Forum, University of Bristol, UK, 2018

  3. A CV of Failures
    PhDay, CNIC, Madrid, ES, 2017

  4. Signals in space: Modelling postsynaptic biochemistry
    University of St. Andrews, UK, 2017

  5. Methods for simulating actin filament dynamics in MCell
    V International Conference on Particle-Based Methods, Hannover, DE, 2017

  6. Computational models of neuronal biochemistry
    Scottish Neuroscience Group Meeting, Aberdeen, UK, 2017

  7. Generally fine: Lessons learnt from year 1 of delivering a Biomedical Sciences course in China
    Biomedical Teaching Organisation, University of Edinburgh, UK, 2017

  8. Computational models of postsynaptic signalling
    School of Informatics, University of Edinburgh, UK, 2017

  9. A CV of Failures
    Wellcome Trust Careers Panel, London, UK, 2017

  10. Modelling calcium sensing in neurons: signals, switches and surprises
    Kinetics on the Move, Heidelberg, DE, 2016

  11. Postdoc to PI: Notes from a small experiment
    George Square Postdoc Society, University of Edinburgh, UK, 2016

  12. What can we learn from online learning data?
    BMTO Teaching Network, University of Edinburgh, UK, 2016

  13. Computational modelling of synaptic protein signalling
    The 7th BMS Annual Meeting, Zhejiang University, Hangzhou, CN, 2016

  14. Statistical thinking in context
    ASE Annual Conference, Birmingham, UK, 2016

  15. CaMKII autoregulation: seeing the forest for the trees
    Centres' Symposium, University of Edinburgh, Edinburgh, UK, 2015

  16. Understanding learning and memory using computatoinal tools
    Yale-NUS College, Singapore, SG, 2015

  17. 10 Simple Rules for Finishing your PhD
    CFP Education Lunch Series, Harvard Medical School, Boston, US, 2014

  18. Recognizing and managing micro-agression and micro-prejudice in the classroom
    CFP Education Lunch Series, Harvard Medical School, Boston, US, 2014

  19. Multi-state modelling of synaptic proteins
    University of Oxford, Oxford, UK, 2013

  20. Hypothesis Testing and the Quant Bio Clinic
    Harvard Medical School, Boston, US, 2012

  21. Multi-state proteins in the brain
    California Institute of Technology, Pasadena, US, 2012

  22. Calcium signalling and memory
    Babraham Institute, Cambridge, UK, 2012

  23. Computermodellierung neuronaler Proteine
    Austrian Scientists & Scholars in North America, Pasadena, US, 2012

  24. A. Trilling, E. Sünter, M.I. Stefan, M. Annoni
    New technologies and human identity.
    EMBL/EMBO Science and Society Summer School, Heidelberg, DE, 2011

  25. Modelling CaMKII: From StochSim to MCell.
    Salk Institute for Biological Studies, San Diego, US, 2011.

  26. Tales of a travelling postdoc
    Naturejobs Career Expo, London, UK, 2010.

  27. PP2B or PP not to be?
    CRG Minisymposium on Systems Biology, Barcelona, ES, 2010.

  28. Modelling CaMKII regulation and autoregulation
    CECAM Workshop: Linking Systems Biology and Biomolecular Simulations, Lausanne, CH, 2009.

  29. Modelling allosteric devices in synaptic plasticity
    University of Helsinki, Helsinki, FI, 2009

  30. Stochastic modelling of CaMKII
    California Institute of Technology, Pasadena, US, 2009

  31. Models of a memory device: Understanding CaMKII
    EBI Predoc Seminar Day, Hinxton, UK, 2009.

  32. An allosteric model of calmodulin explains differential activation of PP2B and CaMKII
    ZBIT-Colloquium, Center for Bioinformatics, Tübingen, DE, 2009.

  33. An allosteric model of calmodulin
    EBI External Seminar, Hinxton, UK, 2008.

  34. An allosteric model of calmodulin
    EMBL Predoc Retreat, Lisbon, PT, 2008.

  35. An allosteric model of calmodulin
    Cold Spring Harbor Laboratory meeting on Computational Cell Biology, Hinxton, UK, 2008.

  36. Models and brains
    Clare College Research Symposium, Cambridge, UK, 2008.

  37. An allosteric model of calmodulin
    National Institute for Medical Research, London, UK, 2008.

  38. Model curation for the BioModels Database
    Okinawa Computational Neuroscience Course, Okinawa, JP, 2006.
    Student project prize

  39. Molecules for memory: NMDA receptors, calmodulin, CaMKII
    Bioinformatics Research and Education Workshop, Hinxton, UK, 2006.

Posters

  1. Y. Liu, H. Besche, A. Beliveau, X. Zhang, E. Kroc, M.I. Stefan, J. Gutlerner, C. Kim (2018).
    Challenges from Modeling Open Online Assessment Data.
    Proceedings of the 2018 Joint Statistical Meetings - American Statistical Association, Vancouver, CA.

  2. S. Arora, S. Roman Garcia, M.I. Stefan (2018)
    Calcium signalling in Alzheimer's Disease: a comptuational Model
    Eleventh FENS Forum of European Neuroscience, Berlin, DE

  3. S. Arora, M.I. Stefan (2018)
    Calcium signalling in Alzheimer's Disease: a comptuational Model
    Computational Neuroscience of Prediction, Copenhagen, DK

  4. M.C. Pharris, T. Kinzer-Ursem, M.I. Stefan (2017)
    A rule-based, multi-state model of the CaMKII holoenzyme
    Society for Neuroscience, Washington DC, US

  5. R. Fitzpatrick, U.S. Bhalla, M.I. Stefan (2017)
    Towards a maximalist AMPA receptor-centric biochemical model of the synapse, and its application in neurodevelopmental disease research
    Society for Neuroscience, Washington DC, US

  6. M.C. Pharris, T. Kinzer-Ursem, M.I. Stefan (2017)
    A rule-based, multi-state model of the CaMKII holoenzyme
    Biomedical Engineering Society Annual Meeting, Phoenix, US

  7. L. Ferrington, M.I. Stefan, S.-H. Wang, J. McCluskey, K. Meyer (2016)
    Using educational digital games to improve the engagement and performance of Applied Pharmacology students in an undergraduate cell biology course
    Pharmacology 2016, London, UK

  8. M.I. Stefan, C. McMullen, S.-H. Wang, C.D Etchells, and L. Ferrington (2016)
    Can optional online quizzes increase student engagement, retention and performance in an undergraduate cell biology and physiology course?
    Creativity in Science Teaching, Society for Experimental Biology, London, UK

  9. L. Ferrington, M.I. Stefan, S.-H. Wang, J. McCluskey, K. Meyer (2016)
    Using educational digital games to improve the engagement and performance of Applied Pharmacology students in an undergraduate cell biology course
    Creativity in Science Teaching, Society for Experimental Biology, London, UK

  10. K. Meyer, L. Ferrington, M.I. Stefan, S.-H. Wang (2016)
    ENGAGE: Using educational digital games to improve student engagement and performance in an undergraduate cell biology course
    Scottish Crucible Forum, Glasgow, UK

  11. Y. Xie, B. Graham, M. Dutia, M.I. Stefan (2016)
    Multi-scale Modelling of Hyperpolarisation Mediated Synaptic Plasticity
    Wellcome Trust Advanced Course: In Silico Systems Biology, Hinxton, UK.

  12. H.C. Besche, M.I. Stefan, Y. Liu, R.W. King, A. Sullivan (2015)
    Assessing item quality in open-book online readiness assessment exercises using student feedback and item response time
    HMS Academy Medical Education Day, Boston, US.
    Undergraduate Medical Education Research Abstract Award

  13. A. Ahuja, K. Dillon, M.I. Stefan, Y. Liu , J. Gutlerner, D. Van Vactor (2014)
    Characterizing Statistics Understanding And Attitudes In Graduate Students And Postdocs In The Life Sciences
    HMS Academy Medical Education Day, Boston, US.

  14. A. Ahuja, K. Dillon, M.I. Stefan, Y. Liu , J. Gutlerner, D. Van Vactor (2014)
    Characterizing Statistics Understanding And Attitudes In Graduate Students And Postdocs In The Life Sciences
    SABER National meeting, Twin Cities, US.

  15. M.I. Stefan, S. Pepke, S. Mihalas, T. Bartol, T. Sejnowski, M.B. Kennedy (2012)
    Modelling Ca2+ -dependent proteins in the spine - challenges and solutions
    INCF Neuroinformatics, Munich, DE.
    F1000 Posters

  16. M.I. Stefan, S. Pepke, S. Mihalas, T. Bartol, T. Sejnowski, M.B. Kennedy (2011)
    Multi-Stage Modelling of the Kinetics of CaMKII Activation
    INCF Neuroinformatics, Boston, US.

  17. M.I. Stefan, D. Marshall, N. Le Novèere (2009)
    Stochastic modelling of CaMKII regulation
    The Tenth International Conference on Systems Biology, Stanford, US.

  18. M.I. Stefan, N. Le Novèere (2009)
    Models of a memory device - understanding CaMKII
    Sanger-Cambridge PhD Symposium, Cambridge, UK.

  19. M.I. Stefan, S.J. Edelstein, N. Le Novère (2008)
    An allosteric model of calmodulin explains differential activation of PP2B and CaMKII
    The Ninth International Conference on Systems Biology, Göteborg, SE.

  20. M.I. Stefan, S.J. Edelstein, N. Le Novère (2008)
    An allosteric model of calmodulin explains differential activation of PP2B and CaMKII
    Sixth FENS Forum of European Neuroscience, Geneva, CH.

  21. M.I. Stefan, S.J. Edelstein, N. Le Novère (2008)
    An allosteric model of calmodulin
    Sanger-Cambridge PhD Symposium, Hinxton, UK.

  22. C. Li, M. Donizelli, N. Le Novère, H. Dharuri, E. He, L. Li, B. Shapiro, M.I. Stefan, R. Machne, C. Laibe, D. Tolle, R. Schiappa, M. Hucka (2007)
    BioModels Database, a curated and annotated resource of published quantitative kinetic models
    The Eighth International Conference on Systems Biology, Long Beach, US.

  23. M.I. Stefan, N. Le Novère (2007)
    A StochSim model for CaMKII regulation
    Synthetic Biology, Systems Biology and Bioinformatics, Manchester, UK.
    [Proceedings] [DOI]

  24. M.I. Stefan, N. Le Novère (2006)
    A StochSim model for CaMKII regulation
    The Seventh International Conference on Systems Biology, Yokohama, JP.

  25. M.I. Stefan, N. Le Novère (2006)
    Molecules for memory
    Okinawa Computational Neuroscience Course, Okinawa, JP.