About us
Our team of AI & Data Science experts has long-term experience in applying and teaching statistical modelling, data science, and AI. What sets us apart is our ability to translate complex insights into seamless, real-world impact.
Core Values
We operate according to the following core values.
Cutting-Edge
Thanks to our ties to experts with various backgrounds, we consistently update our knowledge to the state-of-the-art and promote personal growth and responsibility.
Transparency
We share the whole path to our results transparently such that they are understandable and reproducible by our clients.
Team
Our high team spirit and open-mindedness foster an atmosphere of trust. Through the inclusion of the client in all important project steps we ensure that all parties are part of a constructive and impactful team.
Pillars for Quality
Data science & AI are not only our profession, but also our passion.
What drives our work is the focus on quality and together with you we establish common quality criteria for your specific set-up. The understanding of quality is tailored, but quality requires solid pillars in any case.
Data Quality
We take an in-depth look at your data, detect problems, peculiarities, and possibilities to improve the quality of the data to gain valuable knowledge. We assist you in planning the collection of new data to ensure high-precision insights and forecasts. Throughout the whole process, we ensure confidentiality and data security.
Key Questions
Part of our expertise is having an analytical understanding of problems. We approach detailed questions with a holistic perspective. Together, we define key questions that help boost your gains and knowledge. We translate your questions into the language of AI.
Real World
We never lose sight of your specific real world setting and explain you the obtained insights in the context of your business/plan of action/research set-up.
Valuable Insight
We find the best suited AI approach for your data and the questions you are seeking to answer, and obtain high-quality and robust insights. We apply state-of-the-art modeling by maintaining a close connection with top researchers and staying up-to-date with the most recent advancements.
Core Team
Administration
Karin Lancetti
Administration
Extended Team
The extended team is only a small part of the experts we collaborate with. In fact, we have access to a vast pool of academics and professionals that we can contact when needed.
Dr. Fabio Sigrist
Academic Partner
Fabio is a Senior Scientist at the Seminar for Statistics at ETH Zurich and Professor of Applied Statistics and Data Science at the Lucerne University of Applied Sciences and Arts. He obtained an MSc in Mathematics and a PhD in Statistics (2013) from ETH Zurich. After completing his PhD, he has worked as risk management consultant in the financial industry.
Fabio has lead and conducted many data science and analytics projects with various companies and research institutions.
Dr. Alberto Paganini
Academic Partner
Alberto studied Mathematics at ETH Zurich, where he was awarded a PhD in 2016. He then worked as Departmental Lecturer in Numerical Analysis at the University of Oxford (UK) until 2019, when he became lecturer in Applied Mathematics at the University of Leicester (UK). He is now Associate Professor in Applied and Computational Mathematics at the University of Leicester (UK).
Alberto is an expert in numerical simulations and optimization.
Dr. Bernd Fellinghauer
Associated Data Scientist
Bernd obtained his Diploma in Statistics at University of Munich and was awarded a PhD in Statistics from ETH Zurich. He has worked as a data science consultant since 2012 and is a certified project manager.
He is an expert in data engineering and the development and operation of data pipelines, BI reports and analytical models.
Dr. Thibaut Lienart
Associated Data Scientist
Thibaut studied mathematics in Cambridge after obtaining a degree in applied mathematics at UCLouvain, and holds a DPhil in statistics from Oxford. He has worked for Amazon Web Services and Amazon Transportation Services and has several years of experience as an independent machine learning consultant. Thibaut recently co-founded a company specialising on extracting and analysing sales data for subscription businesses.
His fields of expertise includes bayesian machine learning, optimization and the Julia language for which he’s written and helps maintaining several packages.
Dr. Antoine Buetti
Data Engineer
Antoine holds a Master’s degree in Biochemistry and a Ph.D. in Molecular Biology from the University of Zurich.
With over a decade of experience, he has contributed to multidisciplinary research projects spanning the private, academic, and public sectors. His expertise encompasses diverse fields, including cancer biology, microbial ecology, computer science and data engineering.
Dr. Matteo Casserini
Associated Data Scientist
Matteo is a Senior Researcher at the University of Applied Sciences and Arts of Southern Switzerland (SUPSI), where he also serves as Co-Head of the Bachelor in Data Science and Artificial Intelligence. Matteo was awarded a PhD in Mathematics at ETH Zurich in 2011 and has over a decade of experience in the industry, driving innovation and bridging research with real-world applications across start-ups and Big Tech.
Matteo is an expert in applied machine learning, AI systems architecture and technology transfer.