AI for Decision Makers – Executive Course at ETH Zürich


Prof. Olivier Verscheure is the director and founder of the Swiss Data Science Center (SDSC). Olivier also co-leads a joint training program between EPFL and HEC Lausanne, specifically designed for senior executives. Since 2018, Olivier has been a member of the Board of Directors of Lonza, a global leader in the life sciences sector. This company provides products and services to the pharmaceutical, biotechnology, and specialized healthcare industries.Olivier began his career at IBM Research after earning his Ph.D. in computer science from EPFL. He held several research and leadership positions at the IBM T. J. Watson Research Center in New York and co-created and co-directed the IBM Research center in Dublin, Ireland, before joining the EPFL in 2016.


Silvia holds an MSc in Computer Science from EPFL and a PhD in Computer Science from the University of York, UK. She has been a senior research fellow at the University of Trento and later at Politecnico di Milano, Italy. Here, she had the chance to work on Marie Curie and ERC projects relating to natural language processing. From 2012 to 2019, she was a Senior Manager and NLP expert at ELCA Informatique Switzerland, whose AI department she helped create and expand. Silvia joined the Swiss Data Science Center in 2019 and is currently its Chief Transformation Officer, in charge of the team leading organizations to digital transformation.


Anna joined SDSC as a Data Scientist focusing on industry collaborations in July 2019. She completed her PhD in Bioinformatics at the University of Luxembourg, where she analysed large-scale heterogeneous datasets and leveraged multiple disciplines: Statistics, Network Analysis, and Machine Learning. Before joining SDSC, Anna worked as a Data Scientist at Deloitte Luxembourg, with a focus on computer vision and time-series analysis.Currently, Anna is a Principal Data Scientist based at the ETH Zurich office, where she leads biomedical collaborations with industry partners. Anna works on a range of projects: protein properties prediction, biomanufacturing optimization, statistical model evaluation and others.


Matthias Galipaud obtained his PhD in evolutionary biology in 2012 from the University of Burgundy in Dijon (France), and held postdoctoral positions as a mathematical biologist at the university of Bielefeld (Germany) and the university of Zurich, where he researched the evolutionary theories of aging and mate choice. In 2020, he became a data scientist, developing machine learning solutions for startups in Switzerland and Australia before joining the SDSC Innovation Team in November 2022.


Dan received an MSc in civil and environmental engineering from UC Berkeley and a Ph.D. from EPFL, where he developed models combining machine learning and geographic information systems to estimate renewable energy potentials on a large scale. After serving as a researcher/data scientist at Unisanté (Lausanne) and completing a one-year postdoc at the Quebec Artificial Intelligence Institute (Mila) in Montréal, Dan joined the SDSC Innovation team. His work has generally been focusing on crafting and tailoring machine learning methods and deep learning architectures for a variety of domains, most notably the spatio-temporal modeling and forecasting of environmental and energy related variables, as well as multiple applications in public health research.


Saurabh Bhargava, joined the SDSC as a Principal Data Scientist in the Industry Cell at the Zürich office in 2022. Saurabh previously worked in the retail sector and the advertising industry in Germany. He lead and built various data products for customers using state of the art machine learning methods and industrializing them thereby adding value for the customers. He completed his PhD from ETH Zürich in June 2017 specializing in machine learning applications on Audio data. He obtained his Master’s and Bachelor’s degrees from EPFL and Indian Institute of Technology (IIT), Roorkee, India in 2011 and 2009 respectively. His interests and expertise are in combining state of the art data science and data engineering tools for building scalable data products.


Before joining SDSC, Arshjot Khehra received his MSc in Artificial Intelligence from USI Lugano, where he completed his thesis on hierarchical graph reinforcement learning. Previously, he worked for 4+ years across India and Singapore gaining data science experience in insurance, logistics, and manufacturing sectors. He also holds a BSc in Industrial Engineering from PEC Chandigarh. Over the course of his career, Arshjot worked on a wide array of projects, such as, handwritten text recognition and generation, voice matching across phone call recordings, policy lapse rate prediction for customer retention, and automated insurance claim processing.


Thibaut holds a B.Sc in Computer Science from HEIG-VD. Before joining the SDSC, he worked in startups where he developped a diverse skill set combining cloud infrastructure, database and application development. Thibaut is very enthusiatic about new technologies and best coding practices and he is looking forward to supporting the team and its projects.


Paulina Körner joined the SDSC in September 2025 as a Data Scientist in the Innovation team in Zurich.
Paulina holds an MSc in Environmental Science from ETH Zürich and completed an MPhil in Machine Learning and Machine Intelligence at the University of Cambridge. She has worked as a data science intern in Alpine Remote Sensing and as a research assistant at ETH Zürich, where she focused on automating chemical risk evaluations. She also gained consulting experience at South Pole, supporting clients in designing decarbonization roadmaps. Paulina is particularly interested in interpretable machine learning and in applying AI to address real-world challenges in environmental science, industry, and the public sector.


Kyle (Hogir) van de Langemheen joined the SDSC in September 2025 as a Machine Learning Engineer in the Innovation team, based in Lausanne.
Kyle holds an MSc in Artificial Intelligence from the University of Groningen. He brings several years of experience applying AI across research and industry.
Outside of his professional interests, Kyle enjoys hiking, reading, cooking, and coffee.

Presentation
This executive course gives decision makers a practical, strategic framework to identify high-value AI opportunities, avoid common pitfalls and lead successful data and AI initiatives, including the newest generation of AI agents.
In today's world, data is everywhere, yet the ability to harness its potential for informed decision-making, and consequently, its significant impact on business, remains elusive to most organisations. But how should an organisation start to become data-driven? What are the best practices for implementing data science models that benefit the entire organisation? And how to negotiate executive buy-in for data science initiatives?
This 5-day course follows the full lifecycle of data science and AI initiatives: from strategy and use-case selection to deployment, governance and impact measurement. You will explore core machine learning concepts, data science pipelines and model behaviour, including typical limitations and pitfalls, as well as generative AI.
A full day is dedicated to agentic AI: what AI agents really are, what they can and cannot do, how to build one in a hands-on session, and what we have learned deploying them in real SDSC projects. Hands-on sessions with no-code and low-code tools, and use cases from the private and public sector, show how models are built, deployed and governed.
What You Will Learn
- Understand the foundations: Discover how ML, generative AI and AI agents really work, through clear and accessible theoretical sessions.
- Experiment first-hand: guided hands-on sessions where you build your own ML models and AI agents, with drag-and-drop tools.
- Lead AI from idea to impact: Steer AI initiatives through their full lifecycle, from strategy and governance to ethics, compliance, explainability and impact assessment.
- Learn from real projects: See what works and what doesn't through use cases from many industries, presented by the SDSC and its partner institutions.
Delivered by the Swiss Data Science Center
This course is taught by experts from the Swiss Data Science Center – a joint initiative of ETH Zurich and EPFL – combining academic discipline with hands-on industry insight. The program was created with the support of EPFL Extension School.
Details
Target audience
Leaders and decision makers who need to understand data science and AI deeply enough to challenge assumptions, make informed decisions and lead AI initiatives, without becoming data scientists themselves. The course is taught in English.
Dates and schedule
- Fri. January 22, 2027, 9am to 5pm
- Thu. January 28, 2027, 9am to 5pm
- Fri. January 29, 2027, 9am to 5pm
- Thu. February 4, 2027, 9am to 5pm
- Fri. February 5, 2027, 9am to 5pm
Instructors
- Prof. Olivier Verscheure, Executive Director, Swiss Data Science Center (SDSC) - EPFL & ETH Zurich
- Dr. Silvia Quarteroni, Head of Innovation, SDSC - EPFL & ETH Zurich
- Dr. Anna Fournier, Principal Data Scientist, SDSC - ETH Zurich
- Dr. Matthias Galipaud, Senior Data Scientist, SDSC - ETH Zurich
- Dr. Dan Assouline, Senior Data Scientist, SDSC - EPFL
- Dr. Saurabh Bhargava, Principal Data Scientist, SDSC - ETH Zurich
- Arshjot Khehra, Senior Data Scientist, SDSC - ETH Zurich
- Paulina Körner, Data Scientist, SDSC - ETH Zurich
- Thibaut Loiseau, Machine Learning Engineer, SDSC - EPFL
- Kyle van de Langemheen, Machine Learning Engineer, SDSC - EPFL
Program Director
- Prof. Olivier Verscheure, Executive Director, Swiss Data Science Center (SDSC)
Certificate
An ETH Zurich certificate is delivered at the end of the course. A minimum attendance of 80% is required.
Course venue
ETH Zurich - "Swiss AI Tower" Andreasturm, Andreasstrasse 5, 8092 Zurich-Oerlikon, Switzerland
Room 16+17 at the 14th floor
Prerequisites
- Prior experience working with data in a practical context, such as data reporting, visualization, and statistical analysis using structured data, is required.
- Participants are required to bring their own laptop for use during hands-on practical exercises (installation of KNIME Analytics Platform free software is necessary for hands-on experience.)
- No coding experience required.
Course fee
4000.- Swiss Francs
General discount: 10% special discount for ETH employees and alumni, as well as SDSC partners.
Registration
Please register by January 15th, 2027, through the ETH Zurich School for Continuing Education website. Number of participants is limited.
Contact
For any other course-related questions, please contact Dr. Anna Fournier at anna.fournier@sdsc.ethz.ch.
Programme
Day 1: Data Science and Digital Transformation
- Data science history, terminology and core concepts
- Digital transformation – key challenges to becoming data-driven
- Hands-on session: regression with tabular data (with KNIME)
- Lifecycle of a data science project – AI strategy, project management and tools
- Use cases and external speakers
Day 2: Fundamentals of Machine Learning
- Strengths and limitations of supervised learning, deep learning and time series forecasting, and how to read performance metrics
- Hands-on session: deep learning with tabular data (with KNIME)
- Delivery: model operations (MLOps), FAIR principles and best practices for industrialisation and reuse of digital assets
- Use cases and external speakers
Day 3: Natural Language Processing (NLP) and Computer Vision (CV)
- NLP and CV – algorithms and applications, with a hands-on session on NLP (with KNIME)
- AI governance, ethical and legal aspects of AI, with an overview of model explainability and bias mitigation
- Use cases and external speakers
- Canvassing exercise – how to start a project on the right track
Day 4: Generative AI
- Generative AI and Large Language Models (LLMs) – algorithms, applications and limitations, with a hands-on session (with Langflow)
- A/B testing to measure business impact
- Hands-on session: prompt engineering and structured output
- Use cases and external speakers, and first presentations of canvassed projects
Day 5: Agentic AI
- Agentic AI demystified – how AI agents plan, use tools and act; when an agent is the right answer and when a simpler workflow is better; guardrails and human oversight
- Hands-on session: build your own AI agent (with Langflow)
- Use cases from real SDSC projects and external speakers, quizzes and on-request topics
- Presentation of canvassed projects, group feedback and closing
The programme may evolve to reflect the latest advances in AI.
Other events
SDSC-Connect: Connecting Digital Environmental Sciences


Michele Volpi holds a Ph.D. in Environmental Sciences from the University of Lausanne (2013). He was a postdoctoral researcher in the CALVIN group at the University of Edinburgh’s School of Informatics (2014–2016), and then a member of the Multimodal Remote Sensing and Geocomputation groups at the University of Zurich’s Department of Geography (2016–2017). He joined SDSC in 2018 as Senior Data Scientist in the Research Team and became Lead Data Scientist in 2022. Since 2025, Michele serves as Climate and Environment Domain Lead, overseeing SDSC’s activities in this area. He leads projects in geospatial machine learning, working with Earth observation and geolocated spatio-temporal data, with applications in climate and weather, ecology, natural hazards, and agriculture, among others. Michele is also a Lecturer in the Department of Environmental Systems Sciences at ETH Zurich.


Luke completed his PhD in oceanography at the University of Cape Town in 2017.
After a short stint at the Council for Scientific and Industrial Research in Cape Town, he joined the Environmental Physics group at ETH Zürich as a postdoc in 2019. Here, his research focussed on ocean biogeochemistry. Specifically, he used machine learning approaches to estimate surface ocean pH and surface ocean carbon fluxes from satellite and ship-based observations.
Luke has also been involved developing scientific data processing tools for several autonomous observation platforms.


Guillaume Obozinski graduated with a PhD in Statistics from UC Berkeley in 2009. He did his postdoc and held until 2012 a researcher position in the Willow and Sierra teams at INRIA and Ecole Normale Supérieure in Paris. He was then Research Faculty at Ecole des Ponts ParisTech until 2018. Guillaume has broad interests in statistics and machine learning and worked over time on sparse modeling, optimization for large scale learning, graphical models, relational learning and semantic embeddings, with applications in various domains from computational biology to computer vision.


Uta joined SDSC in May 2024 as Head of Communications & Events. Prior to that, she held various business communication management roles in technology-driven companies in material and life sciences, information and telecommunications as well as automotive industries. Her specialty is to transform complex messages into simple stories to help organizations reach key audiences with relevant and compelling contents, leveraging media and digital channels.Uta holds a Master of Arts from Humboldt University of Berlin, a Master of Business Administration from La Salle University, Philadelphia, and a graduate certificate in Sustainability Leadership from Cambridge University. In her free time she enjoys sports and traveling with her husband and two sons.


Marisol has a degree in Law and more than 15 years of experience working as a notary officer in Madrid. After relocating to Switzerland with her family, she obtained a certification to teach Spanish as a foreign language, dedicating four years to teaching Spanish online to students of all ages and backgrounds. Marisol has returned to her professional roots as an administrative assistant, joining the SDSC team in June 2023.

STEM4Health Hackathon


Elisabet Capón García joined the SDSC in March 2023 as Open Research Community Manager for the Renku team.
Elisabet obtained her PhD. in Process Systems Engineering. After that, she has led and worked over 10 years in multiple projects in the academia and the industry, related to the design and implementation of decision support systems for several industry sectors. Elisabet is highly concerned with the challenges our modern society faces, and deeply committed to sustainability.


Marisol has a degree in Law and more than 15 years of experience working as a notary officer in Madrid. After relocating to Switzerland with her family, she obtained a certification to teach Spanish as a foreign language, dedicating four years to teaching Spanish online to students of all ages and backgrounds. Marisol has returned to her professional roots as an administrative assistant, joining the SDSC team in June 2023.


Valerio started his career working for 7 years as a particle-physics researcher at CERN. In 2016, he moved to consulting, applying data science in several industries. First, he joined the Quant team of Ernst & Young in Geneva. Later, he created his own company, SamurAI sàrl, providing consulting services for his clients. He also has a passion for teaching very complex subjects in simple terms. That is why he particularly enjoys offering training programs to private companies and universities. Valerio joined the SDSC in May 2022 as a Principal Data Scientist with the mission of accompanying industrial partners and other institutions through their data science journey.

AI in Production: Introduction to MLOps - Training at EPFL


Johan Berdat joined the SDSC in May 2019 as a Senior Machine Learning Engineer in the Innovation team, based in Lausanne.
After completing his M.Sc. in Computer Science at EPFL, he worked for a few years as a consultant in the industry. Specialized in natural language processing (NLP) and computer vision, he loves challenges in document analysis and knowledge extraction.


Clément Lefeebvre joined the SDSC in January 2019 as a Data Scientist with an emphasis on industry-oriented projects in the Innovation team, based in Lausanne.
He holds a Bachelor of Science degree in Physics, acquired in 2016 from the École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland. Following this, he earned a Master of Science in Computational Science and Engineering in 2018, also from EPFL. Throughout his academic journey, Clément concentrated on leveraging Data Science and Machine Learning techniques to enhance efficiency in industrial processes. Subsequently, he developed a specialized interest in Generative AI, with a particular focus on Natural Language Processing (NLP), especially in the application of Large Language Models for innovation.


Klemen Voncina joined the SDSC in April 2026 as a Machine Learning Engineer in the Innovation team, based in Lausanne.
Klemen holds an MSc in Artificial Intelligence from the University of Groningen. Prior to this, Klemen worked for several years in both consulting roles and startups. He brings a strong engineering-focused perspective, combined with a solid background in machine learning. He particularly enjoys tackling practical challenges, especially those related to infrastructure and application deployment. Outside of work, Klemen enjoys a range of outdoor activities such as climbing and mountaineering, as well as more home-based hobbies like board games, reading, and tea.


Kyle (Hogir) van de Langemheen joined the SDSC in September 2025 as a Machine Learning Engineer in the Innovation team, based in Lausanne.
Kyle holds an MSc in Artificial Intelligence from the University of Groningen. He brings several years of experience applying AI across research and industry.
Outside of his professional interests, Kyle enjoys hiking, reading, cooking, and coffee.


Thibaut holds a B.Sc in Computer Science from HEIG-VD. Before joining the SDSC, he worked in startups where he developped a diverse skill set combining cloud infrastructure, database and application development. Thibaut is very enthusiatic about new technologies and best coding practices and he is looking forward to supporting the team and its projects.

Advanced LLM Applications and Agentic Systems - Training at EPFL


Johan Berdat joined the SDSC in May 2019 as a Senior Machine Learning Engineer in the Innovation team, based in Lausanne.
After completing his M.Sc. in Computer Science at EPFL, he worked for a few years as a consultant in the industry. Specialized in natural language processing (NLP) and computer vision, he loves challenges in document analysis and knowledge extraction.


Clément Lefeebvre joined the SDSC in January 2019 as a Data Scientist with an emphasis on industry-oriented projects in the Innovation team, based in Lausanne.
He holds a Bachelor of Science degree in Physics, acquired in 2016 from the École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland. Following this, he earned a Master of Science in Computational Science and Engineering in 2018, also from EPFL. Throughout his academic journey, Clément concentrated on leveraging Data Science and Machine Learning techniques to enhance efficiency in industrial processes. Subsequently, he developed a specialized interest in Generative AI, with a particular focus on Natural Language Processing (NLP), especially in the application of Large Language Models for innovation.


Klemen Voncina joined the SDSC in April 2026 as a Machine Learning Engineer in the Innovation team, based in Lausanne.
Klemen holds an MSc in Artificial Intelligence from the University of Groningen. Prior to this, Klemen worked for several years in both consulting roles and startups. He brings a strong engineering-focused perspective, combined with a solid background in machine learning. He particularly enjoys tackling practical challenges, especially those related to infrastructure and application deployment. Outside of work, Klemen enjoys a range of outdoor activities such as climbing and mountaineering, as well as more home-based hobbies like board games, reading, and tea.


Kyle (Hogir) van de Langemheen joined the SDSC in September 2025 as a Machine Learning Engineer in the Innovation team, based in Lausanne.
Kyle holds an MSc in Artificial Intelligence from the University of Groningen. He brings several years of experience applying AI across research and industry.
Outside of his professional interests, Kyle enjoys hiking, reading, cooking, and coffee.


Thibaut holds a B.Sc in Computer Science from HEIG-VD. Before joining the SDSC, he worked in startups where he developped a diverse skill set combining cloud infrastructure, database and application development. Thibaut is very enthusiatic about new technologies and best coding practices and he is looking forward to supporting the team and its projects.
AI for Decision Makers: From Concepts to Impact - Executive Course at EPFL


Prof. Olivier Verscheure is the director and founder of the Swiss Data Science Center (SDSC). Olivier also co-leads a joint training program between EPFL and HEC Lausanne, specifically designed for senior executives. Since 2018, Olivier has been a member of the Board of Directors of Lonza, a global leader in the life sciences sector. This company provides products and services to the pharmaceutical, biotechnology, and specialized healthcare industries.Olivier began his career at IBM Research after earning his Ph.D. in computer science from EPFL. He held several research and leadership positions at the IBM T. J. Watson Research Center in New York and co-created and co-directed the IBM Research center in Dublin, Ireland, before joining the EPFL in 2016.


Silvia holds an MSc in Computer Science from EPFL and a PhD in Computer Science from the University of York, UK. She has been a senior research fellow at the University of Trento and later at Politecnico di Milano, Italy. Here, she had the chance to work on Marie Curie and ERC projects relating to natural language processing. From 2012 to 2019, she was a Senior Manager and NLP expert at ELCA Informatique Switzerland, whose AI department she helped create and expand. Silvia joined the Swiss Data Science Center in 2019 and is currently its Chief Transformation Officer, in charge of the team leading organizations to digital transformation.


Alessandro joined the SDSC in March 2019 as a data scientist focused on industry collaborations. His mission is to support corporates in leveraging the power of their data by adopting analytical approaches and data-centric solutions. His background is in biomedical engineering, with a PhD in neuroscience from the University of Tübingen. Before joining the center, he worked as a postdoc at the Max Planck Institute for Biological Cybernetics, at the EPFL Laboratory of Cognitive Neuroscience in Geneva, and as data scientist for a private ecommerce company.


Clément Lefeebvre joined the SDSC in January 2019 as a Data Scientist with an emphasis on industry-oriented projects in the Innovation team, based in Lausanne.
He holds a Bachelor of Science degree in Physics, acquired in 2016 from the École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland. Following this, he earned a Master of Science in Computational Science and Engineering in 2018, also from EPFL. Throughout his academic journey, Clément concentrated on leveraging Data Science and Machine Learning techniques to enhance efficiency in industrial processes. Subsequently, he developed a specialized interest in Generative AI, with a particular focus on Natural Language Processing (NLP), especially in the application of Large Language Models for innovation.


Thibaut holds a B.Sc in Computer Science from HEIG-VD. Before joining the SDSC, he worked in startups where he developped a diverse skill set combining cloud infrastructure, database and application development. Thibaut is very enthusiatic about new technologies and best coding practices and he is looking forward to supporting the team and its projects.

AI Insights for Chief Executives


Saurabh Bhargava, joined the SDSC as a Principal Data Scientist in the Industry Cell at the Zürich office in 2022. Saurabh previously worked in the retail sector and the advertising industry in Germany. He lead and built various data products for customers using state of the art machine learning methods and industrializing them thereby adding value for the customers. He completed his PhD from ETH Zürich in June 2017 specializing in machine learning applications on Audio data. He obtained his Master’s and Bachelor’s degrees from EPFL and Indian Institute of Technology (IIT), Roorkee, India in 2011 and 2009 respectively. His interests and expertise are in combining state of the art data science and data engineering tools for building scalable data products.


Silvia holds an MSc in Computer Science from EPFL and a PhD in Computer Science from the University of York, UK. She has been a senior research fellow at the University of Trento and later at Politecnico di Milano, Italy. Here, she had the chance to work on Marie Curie and ERC projects relating to natural language processing. From 2012 to 2019, she was a Senior Manager and NLP expert at ELCA Informatique Switzerland, whose AI department she helped create and expand. Silvia joined the Swiss Data Science Center in 2019 and is currently its Chief Transformation Officer, in charge of the team leading organizations to digital transformation.


Marisol has a degree in Law and more than 15 years of experience working as a notary officer in Madrid. After relocating to Switzerland with her family, she obtained a certification to teach Spanish as a foreign language, dedicating four years to teaching Spanish online to students of all ages and backgrounds. Marisol has returned to her professional roots as an administrative assistant, joining the SDSC team in June 2023.


Uta joined SDSC in May 2024 as Head of Communications & Events. Prior to that, she held various business communication management roles in technology-driven companies in material and life sciences, information and telecommunications as well as automotive industries. Her specialty is to transform complex messages into simple stories to help organizations reach key audiences with relevant and compelling contents, leveraging media and digital channels.Uta holds a Master of Arts from Humboldt University of Berlin, a Master of Business Administration from La Salle University, Philadelphia, and a graduate certificate in Sustainability Leadership from Cambridge University. In her free time she enjoys sports and traveling with her husband and two sons.
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