Solving IT service management problems using artificial intelligence- Application of classic machine learning techniques in Python to solve company related NLP problems- Implementation of Deep Learning models in Pytorch and training of transformer models (e.g. BERT)- Developing and implementing generative AI strategies for customer friendly chatbots (EmmaⓇ)- Disseminating knowledge about generative AI via presentations and blog articles within the company

Analysis and computational modeling of psychiatric disease state data (supervisor: Renaud Jardri)- Analyzed TMS data of schizophrenic patients with auditory hallucinations- Design of computational models based on microcircuit alterations in schizophrenia

Computational Neuroscience - Language (Brain Networks Group - collaborator: Thomas Knoesche)- Developed a microcircuit model in Matlab that reprodoces LFP, EEG and MEG data- Built mechanistic models of language processing based on this microcircuit- Implementation of a large-scale model of the language system

Computational Modeling (Computational Neuroscience Group - supervisor: Gustavo Deco)- Independently realized and managed multiple research projects - Study of neurological disease states (strokes)- Research topics: criticality, microcircuit, neuronal communication, language, consciousness- Techniques: modeling (spiking and mean-field models), time series analysis, machine learning- Data types: spiking activity, LFP, fMRI and MEG - Learned Python-based neuronal network… Show more Computational Modeling (Computational Neuroscience Group - supervisor: Gustavo Deco)- Independently realized and managed multiple research projects - Study of neurological disease states (strokes)- Research topics: criticality, microcircuit, neuronal communication, language, consciousness- Techniques: modeling (spiking and mean-field models), time series analysis, machine learning- Data types: spiking activity, LFP, fMRI and MEG - Learned Python-based neuronal network simulator BRIAN2- Obtained highly competitive scholarship from the European Commission (Marie Curie)- Reviewed for several international journals- Publications in top scientific journals- Numerous scientific presentations in various labs Show less

Computational Neuroscience - Consciousness (UNICOG lab - supervisor: Stanislas Dehaene)- Developed a theoretical framework to understand propagation in feedforward networks- Implementation of a refined model of the global neuronal workspace theory in Matlab

Machine Learning (European Institute for Theoretical Neuroscience - supervisor: Alain Destexhe) - Used machine learning techniques to classify fMRI data of language development (Matlab)- Developed a new computational technique to model effective connectivity of fMRI data

Psychophysics (Center for Neural Science - Supervisor: Nava Rubin)- Conducting psychophysical and physiological experiments in humans - Learned C++ and implemented plaid stimuli - Analysis of behavioral and heart rate variability data using Matlab

Experimental Neuroscience (UNIC lab - Supervisor: Yves Frégnac)- Conceived and conducted electrophysiological experiments in the visual cortex- Analyzed spiking and LFP data using advanced statistics and machine learning techniques - Presented results at international conferences - Student representative of the EU-funded FACETS-ITN PhD program- Organization of a FACETS-ITN student conference (Heidelberg, 2011)- Publication of results in top computational neuroscience… Show more Experimental Neuroscience (UNIC lab - Supervisor: Yves Frégnac)- Conceived and conducted electrophysiological experiments in the visual cortex- Analyzed spiking and LFP data using advanced statistics and machine learning techniques - Presented results at international conferences - Student representative of the EU-funded FACETS-ITN PhD program- Organization of a FACETS-ITN student conference (Heidelberg, 2011)- Publication of results in top computational neuroscience journals- Organization of the journal club Show less

Computational Neuroscience (Bernstein Center - Supervisors: Arvind Kumar / Ad Aertsen)- Implementation and analysis of a feedforward network using spiking neuron models - Learning of Python and the neuronal network simulator NEST

Experimental Neuroscience (Singer lab - Supervisor: Danko Nikolic)- Implementation of a full research project with data analysis and preparation of a scientific paper. - Analysis of spiking activity from the visual cortex using code that I wrote in Matlab- Presented the results in a talk of the Society for Neuroscience meeting (San Diego, USA, 2007)