Background
To provide a bit more background information, here is my not so straightforward path through the academic and professional world.
Professional Experience
2023 - present
Senior Machine Learning Staff Engineer · ams OSRAM, Martigny
With my expanded responsibilities, I take on technical leadership in machine learning projects, including vital signs monitoring, eye tracking, AR/VR, and spatial computing. I concentrate on crafting elegant and innovative AI solutions, minimizing computational, memory, and energy costs, and steering the development of highly efficient algorithms. My role involves driving projects to their required technical milestones with precision, while creatively integrating machine learning with various sensor technologies.
2022 - 2023
Machine Learning Staff Engineer · ams OSRAM, Martigny
Specializing in sensor fusion, optical solutions, and signal processing, I utilize vertical-cavity surface-emitting lasers (VCSELs) and spectroscopy photodiodes to develop advanced signal processing and machine learning techniques that enhance performance in spatial and biomedical sensing. My focus is on achieving real-time functionality in vital signs monitoring and pioneering innovative technologies like self-mixing interferometry (SMI), aiming for high-accuracy, low-power solutions at remarkable speeds.
2019 - 2022
Data Science Course Developer & Instructor · EPFL, Lausanne
As Content Director for That’s AI, I managed an informative online platform about AI across three languages, coordinating with marketing, front-end developers, business customers and supervised content creators, designers, and translators.
As a Course Developer and Instructor for the “Applied Data Science: Machine Learning” program at the EPFL Extension School, I guided 100s of participants through proof-of-concept projects from various industries, optimized numerous company internal processes, and developed new teaching tools. I created and executed AI workshops, hackathons, conference talks, and collaborated 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 for behavioral, physiological & neuroimaging (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. One-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.
Education
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, focusing on human cognitive mechanisms such as multisensory integration and rhythm perception. Planning and execution of 7 research studies, including acquiring 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
2020
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.
2018
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.
2018
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.
2018
SSN Travel Fellowships · Swiss Society for Neuroscience (SSN)
SSN Travel Fellowships for Student & Postdoc Members for 1’500.00 CHF. Awarded to support travel to a selective summer school abroad.