WHO WE ARE

OUR MISSION

A 2017 ETH Board national Data Science initiative resulted in the creation of a unique joint venture between EPFL and ETH Zurich: the Swiss Data Science Center. The Center’s mission is to accelerate the use of data science and machine learning techniques within academic disciplines of the ETH Domain, the Swiss academic community at large, and the industrial sector. A multi-disciplinary team of senior data scientists and experts in domains such as personalized health and medicine, earth and environmental science, social science and digital humanities, as well as economics enables collaboration on both academic and industrial projects. This unique positioning, at the crossroad of academic excellence and fast-paced business environments agility is key in making the complex data science journey simple.

TEAM

All
Data science
Engineering
Industry Cell
Interns and Students
Leadership and Administration
Alessandro Nesti, Data Scientist
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 Read More
Alessandro Nesti, Data Scientist


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.

An Jacobs, Executive Assistant
An holds a Bachelor’s degree in English, French and History teaching. She worked in several HR roles (recruitment and development) for Manpower Belgium. After having moved to Switzerland in 2008, Read More
An Jacobs, Executive Assistant


An holds a Bachelor’s degree in English, French and History teaching.
She worked in several HR roles (recruitment and development) for Manpower Belgium. After having moved to Switzerland in 2008, An has worked in a Private Wealth Management Division of a well-known American bank.
An joined the Swiss Data Center in August 2017 as an Executive Assistant.

Anastasia Pentina, Sr. Data Scientist
Anastasia got her PhD in Machine Learning from IST Austria and Master’s degree in Mathematics from Lomonosov Moscow State University, Russia. Prior to joining SDSC, she worked at IST Austria Read More
Anastasia Pentina, Sr. Data Scientist

Anastasia got her PhD in Machine Learning from IST Austria and Master’s degree in Mathematics from Lomonosov Moscow State University, Russia. Prior to joining SDSC, she worked at IST Austria as a postdoc in Computer Vision and Machine Learning group, focusing on knowledge transfer methods in machine learning.

Andreas Bleuler, Sr. Computer Scientist
Andreas received his PhD in Computational Astrophysics from University of Zurich in 2014. His PhD research was focused on studying the star formation process in the milky way through large-scale Read More
Andreas Bleuler, Sr. Computer Scientist

Andreas received his PhD in Computational Astrophysics from University of Zurich in 2014. His PhD research was focused on studying the star formation process in the milky way through large-scale computer simulations. The PhD was followed by a postdoc period at University of Zurich, during which Andreas explored and implemented new ways to optimize parallel simulation code for astrophysics and cosmology. After co-founding a startup for which he developed a recommender system as a cloud-hosted microservice, Andreas joined the SDSC in September 2017.
Andreas holds the diploma of a high school teacher in Physics. But even more than teaching physics he enjoys teaching other people how to ski.
Chenhao Cui, Data Scientist
Chenhao received his PhD in Statistical Science from University College London, his MSc in Optical Science from Imperial College London and his BEng in Optics from Fudan University (Shanghai, China). Read More
Chenhao Cui, Data Scientist

Chenhao received his PhD in Statistical Science from University College London, his MSc in Optical Science from Imperial College London and his BEng in Optics from Fudan University (Shanghai, China). During his PhD studies he was involved in several data science projects with a large industrial group, where he contributed in developing customized machine learning tools for food industry.

Christine Choirat, Chief Innovation Officer
Christine received her PhD in Applied Mathematics in 2003 (Paris Dauphine University). She joined the Swiss Data Science Center in 2019 from the Harvard T.H. Chan School of Public Health Read More
Christine Choirat, Chief Innovation Officer

Christine received her PhD in Applied Mathematics in 2003 (Paris Dauphine University). She joined the Swiss Data Science Center in 2019 from the Harvard T.H. Chan School of Public Health where she was a Senior Research Scientist and an instructor in the Master of Science in Health Data Science. Her research interests are statistical software, reproducible workflows, and environmental policy and health policy. Recent published works include the New England Journal of Medicine, the Journal of the American Medical Association, and the Annals of Applied Statistics.

 

https://scholar.harvard.edu/cchoirat

Cindy Ravey, Executive Assistant
Cindy is a seasoned Executive Assistant at Senior Management level with over 15 years in the field. She gained experience in demanding sectors such as Private Banking and Industry. Before Read More
Cindy Ravey, Executive Assistant

Cindy is a seasoned Executive Assistant at Senior Management level with over 15 years in the field. She gained experience in demanding sectors such as Private Banking and Industry. Before joining EPFL in 2008, she had the opportunity to work for the CFO and his team of Directors at the European headquarters of a US-based multinational company. She also spent a couple of years as HR and Communications coordinator in the same enterprise.
She has been working at EPFL for almost 10 years, previously as the assistant of a Professor’s Laboratory doing research in polymer chemistry.
Since April 2018, she is one of the SDSC Executive Assistants.

Clément Lefebvre, Data Scientist
Clément joined the SDSC as a Data Scientist focused on industry projects in January 2019. He obtained a BSc in Physics (2016) from EPFL in Switzerland and a MSc in Read More
Clément Lefebvre, Data Scientist

Clément joined the SDSC as a Data Scientist focused on industry projects in January 2019. He obtained a BSc in Physics (2016) from EPFL in Switzerland and a MSc in Computational Science and Engineering (2018) also from EPFL. During his studies, he mainly worked on applying Data Science and Machine Learning tools to optimize industrial processes.

Dorina Thanou, Sr. Data Scientist
Dorina is a Senior Data Scientist at the Swiss Data Science Centre since December 2016. Prior to that, she was a postdoctoral researcher at the Signal Processing Laboratory (LTS4) of Read More
Dorina Thanou, Sr. Data Scientist

Dorina is a Senior Data Scientist at the Swiss Data Science Centre since December 2016. Prior to that, she was a postdoctoral researcher at the Signal Processing Laboratory (LTS4) of EPFL, Switzerland. She got her M.Sc. and Ph.D. in Communication Systems and Electrical Engineering respectively, both from EPFL, and her Diploma in Electrical and Computer Engineering from the University of Patras, Greece. In summer 2014, she was a research intern with Microsoft Research, Redmond, USA, working on the compression of 3D point clouds. Her research interests include graph-based signal processing for data representation and analysis, as well as machine learning, with a particular focus on the design of interpretable models for personalized medicine.

Eniko Szekely, Sr. Data Scientist
Eniko joined SDSC as a senior data scientist in September 2017. Previously, she was a postdoctoral researcher at the Courant Institute of Mathematical Sciences, New York University, working on machine Read More
Eniko Szekely, Sr. Data Scientist


Eniko joined SDSC as a senior data scientist in September 2017. Previously, she was a postdoctoral researcher at the Courant Institute of Mathematical Sciences, New York University, working on machine learning for dynamical systems and climate science. She obtained her PhD in Computer Science from the University of Geneva, Switzerland (2011), her MSc from Telecom Bretagne, France (2006) and her BSc from the University of Timisoara, Romania (2005). Broadly she is interested in machine learning for nonlinear phenomena and high-dimensional data, and more recently she has been working on using machine learning approaches to advance our understanding of the climate.

Eric Bouillet, Chief Product Officer
Eric received his PhD degree in Electrical Engineering from Columbia University, New York, NY in June 1999. Eric Bouillet has been working at IBM T.J. Watson Research Center, Hawthorne, NY Read More
Eric Bouillet, Chief Product Officer

Eric received his PhD degree in Electrical Engineering from Columbia University, New York, NY in June 1999. Eric Bouillet has been working at IBM T.J. Watson Research Center, Hawthorne, NY since June 2004, and at the IBM Smarter City Technical Centre, Dublin from October 2010 to August 2016. While at IBM he has been working on scalable data stream analytics applied to a number of fields, including finances, law-enforcement, telecommunications, environmental monitoring, intelligent transport systems, and aircraft reliability control systems. Before joining IBM Research, Eric Bouillet was at Tellium, Oceanport, NJ where he was part of the research team who invented and designed the first commercial optical mesh restoration network (deployed nationwide and documented in their book Path Routing in Mesh Optical Networks), and at Lucent Technologies’ Mathematical Science Center in the department of Mathematics of Networks and System Research department where he worked on the design optimization and sizing of circuit and packet switched networks.

Fernando Perez-Cruz, Chief Data Scientist
Fernando received a PhD. in Electrical Engineering from the Technical University of Madrid. He has been a member of the technical staff at Bell Labs and a Machine Learning Research Read More
Fernando Perez-Cruz, Chief Data Scientist

Fernando received a PhD. in Electrical Engineering from the Technical University of Madrid. He has been a member of the technical staff at Bell Labs and a Machine Learning Research Scientist at Amazon. He has been a visiting professor at Princeton University under a Marie Curie Fellowship and an associate professor at University Carlos III in Madrid. He has also held positions at the Gatsby Unit (London), Max Planck Institute for Biological Cybernetics (Tuebingen), BioWulf Technologies (New York).

 

Floriane Jacquemet, Head of Communication
Floriane is a Lausanne University graduate. Given her venerable age, digitalization was not a buzz word when she was a student, and she therefore completed a Certificate in Digital Strategy Read More
Floriane Jacquemet, Head of Communication

Floriane is a Lausanne University graduate. Given her venerable age, digitalization was not a buzz word when she was a student, and she therefore completed a Certificate in Digital Strategy and Communications Management at the University of Toronto in 2015. After moving back to Switzerland, she joined EPFL in 2016 as head of communication for a central service. Prior to this, she held global marketing communications roles at major industrial corporations for close to 15 years. Since April 2017 she is officially a Swiss Data Science Center employee.

Fotis Georgatos, Sr. Systems Engineer
Fotis has joined SDSC as Sr. Systems Engineer. Before SDSC’s Engineering team, Fotis has been delivering HPC platforms and large scale services across several countries, with varying technical complexity. Even Read More
Fotis Georgatos, Sr. Systems Engineer

Fotis has joined SDSC as Sr. Systems Engineer.
Before SDSC’s Engineering team, Fotis has been delivering HPC platforms and large scale services across several countries, with varying technical complexity.
Even with multiple projects, ranging from global ISPs TCP/IP delay measurements, several clusters for CERN’s Large Hadron Collider physics experiment, developing in EasyBuild while automating HPC software builds and contracted for professional documentation thereof, up to delivering in 2015 and running the system that has led globally for processing most human DNA for clinical use ever, 100K Genome Project, Fotis always found the time and enthusiam for training hundreds of scientists and systems administrators to fulfill their mission.
Finally, Fotis is an active promoter of Open Source Software and open standards and has been spearheading several impactful HPC/OSS hackathons.

Gabrielle Gantos, Data Scientist
Gabrielle received her MSc in The Foundations of Data Science from Universitat de Barcelona, Barcelona, Spain, and a BA in Economics from Wellesley College, Wellesley, Massachusetts, USA. She previously worked Read More
Gabrielle Gantos, Data Scientist

Gabrielle received her MSc in The Foundations of Data Science from Universitat de Barcelona, Barcelona, Spain, and a BA in Economics from Wellesley College, Wellesley, Massachusetts, USA. She previously worked for over half a decade performing data and risk analysis in the energy industry. Gabrielle directed her experiences and education towards data science in order to apply her skills and interests in a variety of domains. Gabrielle enjoys hiking and skiing, new foods and cooking, and is training for her first marathon.

Guillaume Obozinski, Deputy Chief Data Scientist
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 Read More
Guillaume Obozinski, Deputy Chief Data Scientist

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.

Imen Choura, Financial Manager
Imen holds a Master of Management & Financial Analysis from Lorraine University in France and a Master of Accounting from Sfax University in Tunisia. Before joining the SDSC, Imen worked Read More
Imen Choura, Financial Manager

Imen holds a Master of Management & Financial Analysis from Lorraine University in France and a Master of Accounting from Sfax University in Tunisia. Before joining the SDSC, Imen worked as a financial controller for two Software companies in France as well as for an Oil & Gas company in Monaco. She is responsible for the SDSC budget process, the financial reporting and the cost accounting, as well as the audit process.

Izabela Moise, Sr. Data Scientist
Izabela holds a PhD degree in Computer Science from University of Rennes 1, France and the National French Institute for Research in Computer Science and Automatics (INRIA), France. Before joining Read More
Izabela Moise, Sr. Data Scientist

Izabela holds a PhD degree in Computer Science from University of Rennes 1, France and the National French Institute for Research in Computer Science and Automatics (INRIA), France. Before joining the SDSC, she was a postdoctoral researcher at the Chair of Computational Social Science at ETH Zurich and a lecturer for the “Data Science in Techno-Socio-Economic Systems” course at ETH Zurich. Her main research focus is on big data analytics, tools and platforms, machine learning and data mining, large scale network analysis, in the particular setting of social data mining.

Jakub Chrobasik, Sr. Computer Scientist
Jakub is a passionate software developer focused on code maintainability, quality and readability. He received his MSc degree from the Silesian University of Technology in 2004, Gliwice, Poland. Since then, Read More
Jakub Chrobasik, Sr. Computer Scientist
Jakub is a passionate software developer focused on code maintainability, quality and readability. He received his MSc degree from the Silesian University of Technology in 2004, Gliwice, Poland. Since then, he worked as both a permanent employee and a consultant in various projects in Poland, Austria and the United Kingdom. Hi participated in all stages of software development, from inception, through design and implementation, to production deployment. His main interests are Scala and Functional Programming.
Lorenzo Cavazzi, Computer Scientist
Lorenzo Cavazzi graduated in Computer Systems Engineering at Polytechnic University of Milan in 2012 with a thesis on a new type of JavaScript MVC-like framework. He then joined Repower AG, Read More
Lorenzo Cavazzi, Computer Scientist

Lorenzo Cavazzi graduated in Computer Systems Engineering at Polytechnic University of Milan in 2012 with a thesis on a new type of JavaScript MVC-like framework. He then joined Repower AG, at first as a system engineer helping to expand and maintain the new Microsoft based infrastructure, then as a software engineer in the trading department. His two biggest projects were a data management system to properly manage data acquisition, and the new web portal to provide services to corporate and external user in the energy industry through a set of web applications.

Luis Salamanca, Sr. Data Scientist
Luis is originally from Spain, where he completed his bachelor studies on Electrical engineering, and my Ms.C. on signal theory and communications, both at the University of Seville. During his Read More
Luis Salamanca, Sr. Data Scientist

Luis is originally from Spain, where he completed his bachelor studies on Electrical engineering, and my Ms.C. on signal theory and communications, both at the University of Seville. During his Ph.D. he started focusing on machine learning methods, more specifically message passing techniques for channel coding, and Bayesian methods for channel equalisation. He carried it out between the University of Seville and the University Carlos III in Madrid, also spending some time at the EPFL, Switzerland, and Bell Labs, USA, where he worked on advanced techniques for optical channel coding. When he completed his Ph.D. in 2013, he moved to the Luxembourg Center on Systems Biomedicine, where he switched his interest to neuroscience, neuroimaging, life sciences, etc., and the application of machine learning techniques to these fields. During his 4 and a half years there as a Postdoc, he worked on many different problems as data scientist, encompassing topics such as microscopy image analysis, neuroimaging, single cell gene expression analysis, etc. He joined the SDSC in April 2018.

Mathias Humbert, Sr. Data Scientist
Mathias received his Ph.D. in computer and communication sciences from EPFL in 2015. He then spent two years as a post-doctoral researcher in the Center for IT-Security, Privacy, and Accountability Read More
Mathias Humbert, Sr. Data Scientist

Mathias received his Ph.D. in computer and communication sciences from EPFL in 2015. He then spent two years as a post-doctoral researcher in the Center for IT-Security, Privacy, and Accountability (CISPA) at Saarland University, Germany, where he worked on genomic privacy and privacy in social networks. His current research interests lie at the intersection of privacy and machine learning, with a special application focus on biomedical data.  He is currently the lead scientist for the SDSC of the PHRT project “DPPH: Data Protection in Personalized Health”. He is also co-principal investigator of a project funded by the Leenaards Foundation on evaluating and preventing privacy risks in biomedical databases.

Maysam Haghdan, PhD Student
Maysam is a PhD student in the institute for machine learning at ETHZ since January 2018 and privileged to be under supervision of Dr. Fernando Perez-Cruz and Dr. Andreas Krause Read More
Maysam Haghdan, PhD Student

Maysam is a PhD student in the institute for machine learning at ETHZ since January 2018 and privileged to be under supervision of Dr. Fernando Perez-Cruz and Dr. Andreas Krause at SDSC. He is interested in working on advances in generative machine learning and their applications. Previously Maysam received his MSc in computer science from University of Toledo, Ohio, USA. During his master, as a research assistant, he worked on applying Machine Learning algorithms on physiological data and social network. Also, he received his BSc in computer engineering from Shiraz University, Shiraz, Iran. Maysam enjoys hiking and reading books.

Michele Volpi, Sr. Data Scientist
Michele received the Ph.D. in Environmental Sciences from the University of Lausanne (Switzerland) in 2013. He was then a visiting postdoc in the CALVIN group, Institute of Perception, Action and Read More
Michele Volpi, Sr. Data Scientist

Michele received the Ph.D. in Environmental Sciences from the University of Lausanne (Switzerland) in 2013. He was then a visiting postdoc in the CALVIN group, Institute of Perception, Action and Behaviour of the School of Informatics at the University of Edinburgh, Scotland (2014-2016). He then joined the Multimodal Remote Sensing and the Geocomputation groups at the Geography department of the University of Zurich, Switzerland (2016-2017).

His main research activities were at the interface of computer vision, machine and deep learning for the extraction of information from aerial photos, satellite optical images and geospatial data in general.

Natalie Barcicki, Data Scientist
Natalie joined the SDSC in April 2019 as a data scientist in the industry cell. She completed her Bachelor’s degree in Operations Research at Princeton University with a focus on Read More
Natalie Barcicki, Data Scientist

Natalie joined the SDSC in April 2019 as a data scientist in the industry cell. She completed her Bachelor’s degree in Operations Research at Princeton University with a focus on statistics, probability and optimization, and became interested in using these tools for biological applications. She continued her Master’s studies in Computational Biology and Bioinformatics at the ETH in Zurich, focusing on machine learning and statistical modeling in biomedical settings. After her thesis, she did an internship with the machine learning and data analytics group at Disney Research in Zurich, working on solving problems in various domains using deep learning. Outside of work, she has been involved as a Women in Data Science Conference organizer and is also an avid runner, skier and diver.

Nathanaël Perraudin, Sr. Data Scientist
After finishing his Master in electrical engineering at the Ecole Fédérale de Lausanne (EPFL), Nathanaël worked as a researcher in the Acoustic Research Institute (ARI) in Vienna. In 2013, he Read More
Nathanaël Perraudin, Sr. Data Scientist

After finishing his Master in electrical engineering at the Ecole Fédérale de Lausanne (EPFL), Nathanaël worked as a researcher in the Acoustic Research Institute (ARI) in Vienna. In 2013, he returned to EPFL for a PhD, where he specialized himself in different fields of data science: signal processing, machine learning, graph theory and optimization. Furthermore, he created two open source libraries for optimization (UNLocBoX) and graph signal processing (GSPBOX). Since 2017, Nathanaël Perraudin is a Research Data Scientist at the Swiss Data Science Center in the ETH Zurich. He focuses on different aspects of deep learning in the area of generative models (VAE and GAN), recursive architectures and convolutional neural network for irregular domains. Outside office hours, he is passionate by tango dancing, tandem bike touring, skiing and rock climbing.

Nicole Andriaharifara, Graphic Design Trainee
In 2015, Nicole joined a school called CPNV (Professional Center of Northern Vaud) and today she is completing her 3rd year. At the beginning of this school year, she joined Read More
Nicole Andriaharifara, Graphic Design Trainee

In 2015, Nicole joined a school called CPNV (Professional Center of Northern Vaud) and today she is completing her 3rd year. At the beginning of this school year, she joined SDSC as a graphic design intern. At the end of her training, she will get a CFC Mediamaticienne (“médiamatique” includes design, photography and computing skills).

Olivier Verscheure, Executive Director
Olivier Verscheure holds a PhD in computer science from the EPFL (1999). He was Lab Program Director and Senior Research Manager at IBM Research Ireland from 2010 to 2016, and Read More
Olivier Verscheure, Executive Director

Olivier Verscheure holds a PhD in computer science from the EPFL (1999).
He was Lab Program Director and Senior Research Manager at IBM Research Ireland from 2010 to 2016, and prior to this Research Manager and Senior Member of the Research Staff at the IBM T.J. Watson Research Center (1999 – 2010). He took over the Executive Director position of the SDSC in 2016.
He is also an expert in the Strategy Working Group on Data, Computing and Digital Research Infrastructures in the State Secretariat for Education, Research and Innovation (SERI) since 2019, member of the Executive Committee of Personalized Health and Related Technologies (PHRT), an ETH Domain Strategic Focus Area (since 2017) and co-academic Director, Certificate of Advanced Studies (CAS), Data Science and Management, HEC Lausanne and EPFL (since 2018).

Pamela Delgado, Computer Scientist
Pamela received her PhD in Computer Science from EPFL Switzerland in 2018. Her PhD thesis focused on providing better scheduling and large-scale resource management solutions for data centers. Her research interests include Read More
Pamela Delgado, Computer Scientist
Pamela received her PhD in Computer Science from EPFL Switzerland in 2018. Her PhD thesis focused on providing better scheduling and large-scale resource management solutions for data centers. Her research interests include data center scheduling, cloud computing, distributed systems and systems support for data science. Her research was supported by Microsoft Research and made part of a project of the Swiss Joint Research Center at Microsoft. She was also recipient of the Google Anita Borg Memorial Scholarship on 2013 and the Swiss Government Excellence Scholarship for Foreign Students.
Radhakrishna Achanta, Sr. Data Scientist
Radhakrishna has a PhD in Computer Science from EPFL Switzerland, an MSc in Computer Science from NUS Singapore, and a BEng degree in Electrical Engineering from JEC India. During his Read More
Radhakrishna Achanta, Sr. Data Scientist

Radhakrishna has a PhD in Computer Science from EPFL Switzerland, an MSc in Computer Science from NUS Singapore, and a BEng degree in Electrical Engineering from JEC India. During his 16 years of working experience, he has worked in the industry and academia, and has founded three start-ups. He has published over 20 refereed papers, which have received over 9000 citations. He is a co-inventor in 4 patents. He has served as a reviewer for several conferences and journals of repute and as area chair for ECCV 2016. His main interests are Computer Vision, Image Processing, and Machine Learning.

Rok Roskar, Chief System Scientist & Head of Engineering
Rok obtained a B.A. in Physics from Washington University in St.Louis in 2003. After obtaining his PhD in theoretical Astrophysics from the University of Washington in 2010, Rok spent several years Read More
Rok Roskar, Chief System Scientist & Head of Engineering

Rok obtained a B.A. in Physics from Washington University in St.Louis in 2003. After obtaining his PhD in theoretical Astrophysics from the University of Washington in 2010, Rok spent several years as a Postdoctoral researcher at the Institute for Computational Science, University of Zürich. Seeking new challenges, he moved to the ETH Scientific IT Services group, where he helped researchers across different ETH domains solve their (big) data analysis problems. He specialized in optimizing and scaling up data analysis tasks by mapping them to high-performance computing resources. Since July 2017 he has been at the Swiss Data Science Center developing Renku, the Center’s data science platform

Samuel Picek, Sr. Computer Scientist
Sam received his MSc degree in computer science from the University of Zagreb, Croatia. He previously worked for over half a decade on solving problems in distributed computing and data Read More
Samuel Picek, Sr. Computer Scientist

Sam received his MSc degree in computer science from the University of Zagreb, Croatia. He previously worked for over half a decade on solving problems in distributed computing and data engineering in the IT industry. He worked in all stages of software development, from idea to production deployment, several times. Sam has broad interests from software design and distributed computing to statistics and machine learning. (modifié)

Sandro Saitta, Chief Industry Advisor
Sandro is a Data Science passionate. He has 10 years of experience applying Data Science in industries such as Finance, Telco, Chemicals, Online Travel and Retail. He is currently Chief Read More
Sandro Saitta, Chief Industry Advisor

Sandro is a Data Science passionate. He has 10 years of experience applying Data Science in industries such as Finance, Telco, Chemicals, Online Travel and Retail. He is currently Chief Industry Advisor at the Swiss Data Science Center. Sandro holds a PhD in Computer Science from EPFL and founded the Swiss Association for Analytics to promote Data Science in Switzerland.

Chandrasekhar Ramakrishnan, Sr. Computer Scientist
Chandrasekhar studied mathematics at the University of California, Berkeley (B.A. 1997) and art and computer science at the University of California, Santa Barbara (M.A. 2003). He has worked as a Read More
Chandrasekhar Ramakrishnan, Sr. Computer Scientist

Chandrasekhar studied mathematics at the University of California, Berkeley (B.A. 1997) and art and computer science at the University of California, Santa Barbara (M.A. 2003). He has worked as a software developer and consultant for companies, research institutions, and NGOs in the US, Germany, and Switzerland. Since 2009, he has been at ETH Zürich supporting projects by developing software solutions for data management, analysis, and visualization. He has been with the Swiss Data Science Center since 2017.

Silvia Quarteroni, Principal Data Scientist – Industry Collaborations
Silvia holds an M.Sc. in Computer Science from EPFL and a Ph.D. in Computer Science from the University of York, UK. She has been a senior research fellow at Politecnico Read More
Silvia Quarteroni, Principal Data Scientist – Industry Collaborations

Silvia holds an M.Sc. in Computer Science from EPFL and a Ph.D. in Computer Science from the University of York, UK. She has been a senior research fellow at Politecnico di Milano and later at the University of Trento, Italy, where 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 to create and expand. Silvia has joined the Swiss Data Science Center in 2019 as a Principal Data Scientist for industry collaborations with the aim of helping the industry benefit from the latest innovation in data science.

Sofiane Sarni, Program Manager
Sofiane is the Program Manager at the Swiss Data Science Center. He is also a senior member of the research staff. Sofiane received his Ph.D. degree in computer science from Read More
Sofiane Sarni, Program Manager

Sofiane is the Program Manager at the Swiss Data Science Center. He is also a senior member of the research staff. Sofiane received his Ph.D. degree in computer science from the Swiss Federal Institute of Technology, Lausanne (EPFL), in May 2006
He has previously occupied positions at the border between management and science and led many projects applied to domains as varied as medicine, finance, environmental sciences, and scientific computing. His expertise and research interests include: stream processing, large scale data management, scientific and data visualization, and cloud computing.

Virginia Friedrich, Computer Scientist
Virginia Friedrich received her Computer Systems Engineering degree from the Universidad Nacional del Sur in Argentina. She took her first steps as a Software Developer in Hexacta, one of the Read More
Virginia Friedrich, Computer Scientist

Virginia Friedrich received her Computer Systems Engineering degree from the Universidad Nacional del Sur in Argentina. She took her first steps as a Software Developer in Hexacta, one of the 100 best outsourcing companies in the world (IAOP). In 2015 Virginia came to Zürich to do an IAESTE internship and shortly after began working for SkyCell AG as a Frontend Developer, where she also gained some experience doing Project Management and Requirements Engineering tasks.

EXECUTIVE TEAM

Andreas Krause

Academic co-Director

Edouard Bugnion

Academic co-Director

Olivier Verscheure

Executive Director