Talks

Talks

  • ‘Inferring the effect of an event using CausalImpact.’
    23/05/2017, Strata+Hadoop World, London, UK.
    Session
  • ‘Inferring the effect of an event using CausalImpact.’
    17/11/2016, Big Data Spain, Madrid, Spain.
    Video
  • ‘Inferring causal effects in the absence of an experiment using CausalImpact.’
    14/11/2016, International Biometric Society, Basel, Switzerland.
    Website
  • ‘Workshop on CausalImpact.’
    24—25/10/2016, CREST Open Workshop, UCL, London, UK.
    Website
  • ‘Tutorial on CausalImpact.’
    25/03/2016, Google, San Francisco, CA, USA.
  • ‘What did we accomplish? Inferring causal impact by counterfactual forecasting.’
    13/08/2014, JSM'14, Boston, MA, USA.
    Website
  • ‘Multivariate analyses & decoding.’
    13/02/2014, SPM Course 2014, ETH Zurich, Switzerland.
    PDF   Simple classifier   LIBSVM   MVB dataset   MVB first-level design
  • ‘Generative embedding and translational neuromodeling.’
    16/12/2013, Bioinformatics Research Seminar, University of Basel, Switzerland.
    PDF
  • ‘Variational Bayesian inference.’
    22/03/2013, Seminar on Bayesian inference, TNU, ETH Zurich, Switzerland.
    PDF
  • ‘Multivariate analyses & decoding.’
    14/02/2013, SPM Course 2013, ETH Zurich, Switzerland.
    PDF
  • ‘Generative embedding and variational Bayesian inference for multivariate time series.’
    14/09/2012, PhD examination, ETH Zurich, Switzerland.
    PDF
  • ‘Model-based clustering using generative embedding.’
    12/06/2012, Oral presentation at Human Brain Mapping, Beijing, China.
    PDF
  • ‘Model-based analysis of disease states of the brain using generative embedding.’
    15/03/2012, MR colloquium, Institute for Biomedical Engineering, ETH Zurich.
    PDF
  • ‘Multivariate analyses & decoding.’
    16/02/2012, SPM Course 2012, Zurich.
    PDF
  • ‘Generative embedding for model-based classification.’
    28/11/2011, Freiburg Brain Imaging Center, Universität Freiburg, Germany.
    PDF
  • ‘Multivariate analyses & decoding.’
    27/11/2011, SPM Course, University of Zurich.
    PDF
  • ‘Computational science: machine learning and pattern recognition.’
    22/11/2011, Fit in IT, Kantonsschule Rychenberg Winterthur.
  • ‘Towards model-based diagnostics of human brain pathophysiology.’
    21/11/2011, Symposium on Imaging and Visualization, Zurich.
    PDF
  • ‘Bayesian inversion of deterministic dynamic causal models.’
    16/11/2011, Computational Neuroeconomics Seminar, University of Zurich.
    PDF
  • ‘Contingency learning in the human brain.’
    13/10/2011, Wellcome Trust Centre for Neuroimaging, University College London, UK.
  • ‘Mixed-effects inference on classification performance in group studies.’
    12/10/2011, Analysis group, FMRIB, University of Oxford, UK.
  • ‘Generative embedding and model-based classification.’
    11/10/2011, FMRIB Seminar, University of Oxford, UK.
    PDF
  • ‘Studying Computer Science at ETH Zurich.’
    14/07/2011, Prestudy event, Department of Computer Science, ETH Zurich.
  • ‘Generative embedding for model-based classification.’
    11/07/2011, SystemsX.ch Neurochoice, Les Diablerets.
    PDF
  • ‘Mixed-effects inference on classification performance in group studies.’
    30/06/2011, Interactive session at Human Brain Mapping, Quebec City.
  • ‘Multivariate decoding of perceptual decisions about pain.’
    29/06/2011, Interactive session at Human Brain Mapping, Quebec City.
  • ‘Orbitofrontal cortex distributes reinforcement to the decision that caused it.’
    28/06/2011, Oral presentation at Human Brain Mapping, Quebec City.
    PDF
  • ‘Generative embedding for model-based classification of fMRI data.’
    27/06/2011, Oral presentation at Human Brain Mapping, Quebec City.
    PDF
  • ‘The amygdala becomes reward-sensitive when an outcome cannot be assigned to the correct decision.’
    27/06/2011, Oral presentation at Human Brain Mapping, Quebec City.
    PDF
  • ‘Model-based classification through generative embedding.’
    17/05/2011, Automatic Control Laboratory, Department of Information Technology and Electrical Engineering, ETH Zurich.
    PDF
  • ‘An introduction to machine learning.’
    05/05/2011, Computer Science Open Days, ETH Zurich.
  • ‘Higher-order linear dynamical systems.’
    23/03/2011, Computational Neuroeconomics Seminar, University of Zurich.
    PDF
  • ‘An introduction to machine learning.’
    15/03/2011, ICT Training Day, Kantonsschule Freudenberg, Zurich.
  • ‘Generative embedding enables model-based classification in fMRI.’
    24/02/2011, FHSB Seminar, Zurich.
    PDF
  • ‘Mixed-effects inference on classification performance in group studies.’
    21/02/2011, Machine Learning Seminar, ETH Zurich.
  • ‘Multivariate analyses & decoding.’
    17/02/2011, SPM Course 2011, Zurich.
    PDF
  • ‘Mixed-effects inference on classification performance in group studies.’
    01/02/2011, Methods II Meeting, Wellcome Trust Centre for Neuroimaging, University College London.
  • ‘Stochastic approximate inference.’
    08/12/2010, Computational Neuroeconomics Seminar, University of Zurich.
    PDF
  • ‘Multivariate analyses & decoding.’
    21/11/2010, SPM Lectures, Zurich.
  • ‘Generative embedding for fMRI.’
    15/11/2010, Machine Learning Seminar, ETH Zurich.
  • ‘Multivariate machine-learning methods for analysing electrophysiological and fMRI data.’
    07/10/2010, SystemsX.ch Neurochoice, Online Tutorial.
  • ‘Evaluation of classification performance on small, imbalanced datasets.’
    21/06/2010, Machine Learning Seminar, ETH Zurich.
    PDF
  • ‘Model-based feature construction for multivariate decoding.’
    16/06/2010, SystemsX.ch Neurochoice Retreat, Kandersteg.
  • ‘Threat-dependent modulation of anterior insula connectivity predicts pain.’
    09/06/2010, Human Brain Mapping, Barcelona.
    PDF
  • ‘Multivariate analyses & decoding.’
    18/02/2010, SPM Course 2010, Zurich.
    PDF
  • ‘Multivariate analyses of preferences and choice.’
    21/01/2010, Economics Retreat, Rigi Kaltbad.
  • ‘Model-based feature construction for multivariate decoding.’
    01/12/2009, Methods II Meeting, Wellcome Trust Centre for Neuroimaging, University College London.
  • ‘Multivariate decoding of cognitive states from brain activity.’
    18/09/2009, SystemsX.ch Neurochoice Retreat, Berlingen.
  • ‘Multiclass + 1 classification.’
    25/08/2009, Machine Learning Retreat, Lugano.
  • ‘Dancing with Mr. D — why multivariate decoding offers a compelling approach to fMRI analysis.’
    02/07/2009, Neuroinformatics Symposium, ETH Zurich.
  • ‘Multivariate pattern analysis for neuroimaging datasets.’
    29/04/2009, Methods Seminar, University of Zurich.