Presentations

Talks

  1. Methods for simulating actin filament dynamics in MCell

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

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

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

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

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

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

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

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

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

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

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


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

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

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

  16. Multi-state proteins in the brain

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


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

  19. Modelling CaMKII: From StochSim to MCell.

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

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

  22. Modelling CaMKII regulation and autoregulation

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

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

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

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

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

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

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

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

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

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

  33. 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.