Presentations

Talks

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

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

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

  4. George Square Postdoc Society, University of Edinburgh, UK, 2016

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

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

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

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

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


  10. Recognizing and managing micro-agression and micro-prejudice in the classroom

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

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

  13. Multi-state proteins in the brain

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


  15. A. Trilling, E. Sünter, M.I. Stefan, M. Annoni

  16. Modelling CaMKII: From StochSim to MCell.

  17. Naturejobs Career Expo, London, UK, 2010.

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

  19. Modelling CaMKII regulation and autoregulation

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

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

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

  23. ZBIT-Colloquium, Center for Bioinformatics, Tübingen, DE, 2009.

  24. EBI External Seminar, Hinxton, UK, 2008.

  25. EMBL Predoc Retreat, Lisbon, PT, 2008.

  26. Cold Spring Harbor Laboratory meeting on Computational Cell Biology, Hinxton, UK, 2008.

  27. Clare College Research Symposium, Cambridge, UK, 2008.

  28. National Institute for Medical Research, London, UK, 2008.

  29. Okinawa Computational Neuroscience Course, Okinawa, JP, 2006.
    Student project prize

  30. Bioinformatics Research and Education Workshop, Hinxton, UK, 2006.

Posters

  1. 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

  2. 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

  3. 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

  4. 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

  5. Y. Xie, B. Graham, M. Dutia, M.I. Stefan (2016)
    Multi-scale Modelling of Hyperpolarisation Mediated Synaptic Plasticity
  6. 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
    Undergraduate Medical Education Research Abstract Award

  7. 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.

  8. A. Ahuja, K. Dillon, M.I. Stefan, Y. Liu , J. Gutlerner, D. Van Vactor (2014)
    SABER National meeting, Twin Cities, US.

  9. 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.

  10. M.I. Stefan, S. Pepke, S. Mihalas, T. Bartol, T. Sejnowski, M.B. Kennedy (2011)
    INCF Neuroinformatics, Boston, US.

  11. M.I. Stefan, D. Marshall, N. Le Novèere (2009)
    Stochastic modelling of CaMKII regulation

  12. M.I. Stefan, N. Le Novèere (2009)
    Sanger-Cambridge PhD Symposium, Cambridge, UK.

  13. M.I. Stefan, S.J. Edelstein, N. Le Novère (2008)
    The Ninth International Conference on Systems Biology, Göteborg, SE.

  14. M.I. Stefan, S.J. Edelstein, N. Le Novère (2008)

  15. M.I. Stefan, S.J. Edelstein, N. Le Novère (2008)
    Sanger-Cambridge PhD Symposium, Hinxton, UK.

  16. 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)
    The Eighth International Conference on Systems Biology, Long Beach, US.

  17. M.I. Stefan, N. Le Novère (2007)
    Synthetic Biology, Systems Biology and Bioinformatics, Manchester, UK.

  18. M.I. Stefan, N. Le Novère (2006)
    The Seventh International Conference on Systems Biology, Yokohama, JP.

  19. M.I. Stefan, N. Le Novère (2006)
    Okinawa Computational Neuroscience Course, Okinawa, JP.