To provide a bit more background information, here is my not so straightforward path through the academic and professional world.

Professional Experience

2022 - present

Machine Learning Staff Engineer · ams OSRAM, Martigny

As a researcher in the Artificial Intelligence and Machine Learning team in the Innovation Office of ams OSRAM, I work on several projects in the field of computer vision and signal processing in general. I am using data from vertical-cavity surface-emitting lasers (VCSELs) and combining it with advanced signal processing and machine learning routines to improve the performance, expand the capabilities, and reduce the resource requirements of next-generation 3D sensing and scene recognition applications. In particular, but not exclusively, I strive to improve the real-time capabilities of direct time-of-flight (dToF) and next-generation sensor technologies, such as self-mixing interferometry (SMI), to provide low-power, high measurement accuracy sensor technologies at very high speed.

2019 - 2022

Data Science Course Developer & Instructor · EPFL, Lausanne

Content director for That’s AI, an informative online platform about Artificial Intelligence in three languages. Managing tasks involved coordination with marketing, front-end developers, business customers, and supervision of multiple content creators, web designers, language translators and illustrators.
Work included: Course developer and instructor for the “Applied Data Science: Machine Learning” program at the EPFL Extension School. Work included advising participants and guiding their proof of concepts from numerous industries, optimization of company internal processes, development of new teaching tools, creation and execution of multiple AI workshops, hackathons, and conference talks, plus collaborating with academic and private sector partners to identify opportunities for data-driven solutions across multiple industries.

2014 - 2016

Research Collaborator in Neuroscience & Neuroimaging · CHUV, Lausanne

Development, execution and analysis of +8 neuroimaging experiments using MRI, EEG and eye-tracking, plus general software development and teaching.

2013 - 2014

Research Assistant in Neuroscience & Neuroimaging · INAPIC, Zurich

Development and maintenance of analysis software of behavioral, physiological & MRI data. Extensive support to research collaborators for data analysis.

2011 - 2011

Internship at Massachusetts Institute of Technology · MIT, Cambridge, USA

Design and execution of experiments, development of neuroimaging software, technical support and teaching. 1-month extension due to very satisfactory work.

2012 - 2017

Special officer in the Psychological-Pedagogical Service of the Armed Forces · Swiss Army

Counseling, stress prevention and guidance to soldiers and cadre of the Armed Forces.

2007 - 2014

Clerk in payment transactions · Migros Bank, Zurich

Data analysis for the purpose of anomaly detection and process optimization.


2016 - 2021

PhD in Neuroscience · University of Lausanne

Thesis: Innovation and standardization of processing pipelines for functional MRI data analysis
Work: Development of 8 neuroimaging toolboxes to facilitate the processing and analysis of MRI, EEG and eye-tracking data, with a focus on human cognitive mechanisms, such as multisensory integration and rhythm perception. Planning and execution of 7 research studies, including the acquisition of various datasets, using novel measuring techniques. Analysis methods included classical statistical analysis, as well as machine learning approaches.

2012 - 2014

Master of Science in Neuroscience with minor in Neuroinformatics · University of Zurich

Thesis: Differences and similarities between the brains of children with attention deficit hyperactivity disorder and children with autism spectrum disorder - An analysis of 700 anatomical MRI scans
Lectures in neuroinformatics, neurobiology, cognitive psychology, neuroimaging methods, neural networks, models of computation & computational vision.

2007 - 2012

Bachelor of Science in Psychology with minor in Neuroinformatics · University of Zurich

Thesis: On achieving satisfaction and subjective well-being. A review of intervention studies from positive psychology
Lectures in psychology, neuroinformatics, statistics, neuroscience, informatics, biology, mathematics & AI.

Awards & Fellowships


Solo gold medal (11th place out of 1047 teams) · Kaggle

Solo gold medal (11th place out of 1047 teams) in Kaggle’s TReNDS Neuroimaging challenge.


Travel Fellowships for code sprint at MIT · Massachusetts Institute of Technology (MIT)

Travel Fellowship and invitation to 3-day code sprint at McGovern Institute for Brain Research at MIT. Code sprint focused on neuroimaging toolbox Nipype and dataflow engine Pydra.


Invitation to Neurohackademy summer school · University of Washington

Chosen from 400 applicants to be one of 60 participants at the Neurohackademy 2018 at the eScience Institute, University of Washington in Seattle, a two-week hands-on summer school in neuroimaging and data science.


SSN Travel Fellowships · Swiss Society for Neuroscience (SSN)

SSN Travel Fellowships for Student & Postdoc Members for 1’500.00 CHF.