After obtaining a joint MSc in Micro and Nanotechnologies from EPFL, Grenoble INP and PoliTo, Amalia worked for several years in the microelectronics industry, combining data science and domain expertise. As a data scientist, she worked on projects such as anomaly detection for quality improvement and machine learning based test optimization, while in her previous work as an application engineer she often employed statistics and data analysis in order to address customers’ challenges. During that time she discovered her passion for data and for working with customers, co-authored two patents and completed a COS in Data Science – Machine Learning from EPFL.
Amalia joined the SDSC’s industry collaborations cell in October 2019

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.

Asya relocated to Berlin and now works as a machine learning researcher at Bayer.

Anna joined the SDSC as a Senior Data Scientist in 2020. She is a statistician by training with a Master’s degree with Honors in Mathematical Statistics from Lomonosov Moscow State University. Anna has graduated with a PhD from ETH Zurich in 2018, where she worked on causal structure learning for protein signaling pathways. During her studies she did an internship at Facebook AI Research in New York working on discovery of hierarchies from data using hyperbolic geometry. Later she joined Facebook AI Research in Paris as a postdoctoral researcher, where she worked on a problem of out-of-distribution prediction of unseen drug combinations. Broadly her research interests are in unsupervised and self-supervised learning, domain adaptation and generalisation.

In 2017, Cédric joined a school called CPNV (Professional Center of Northern Vaud). He spent a year at the SDSC as a graphic design intern and has now returned to school to get his diploma. At the end of his training, He will get a CFC Mediamaticien (“médiamatique” includes design, photography, marketing and computing skills).

Now he’s continuing his study at his school.

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.

He’s now working as a data scientist in Bühler China. He develops data analytical models for Bühler’s IoT platform. They aim to improve productivity,  reduce energy, water and material wastes for their customers.

David joined the SDSC in June 2020 to work with the Knowledge Graph team. He has exeperience in building full-stack web applications and loves using functional programming to do so.
He developed an interest in Knowledge graphs while working for the Human Brain Project, where he took part in the creation of a platform helping with the data curation process.
When he is not coding, David spends his free time producing and recording film music and playing drums.

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.

After four years at the Swiss Data Science Center, Dorina has joined the pole of the Center for Intelligent Systems (CIS) at EPFL on Medicine and Healthcare as an AI Research Scientist

Emma graduated from the University of Pennsylvania, PA, USA, with a BA in physics and computer science in 2013. Most recently since then, she has built systems to facilitate computational molecular dynamics research at D. E. Shaw Research and worked on exoplanet climate modeling in the astrobiology group at NASA GISS, both in New York City. Her research interests include networks and complexity as applied to life in the universe and also to the flow of scientific information through academia and society. The latter research interest has motivated her to volunteer at the World Science Festival in NYC, volunteer-teach computer science, attend open science hackathons.

She is now attending a PhD program in History of Science at UC San Diego, CA, USA.

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.

https://eszekely.github.io/

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.

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.

Gabrielle has relocated to Colorado for family reasons.

Gavin joined the SDSC in Zurich as a Data Science Engineer in 2020. He holds an MSc in Computational Science and Engineering from EPFL, where he completed his Master’s thesis in an SDSC collaboration with the Harvard T.H. Chan School of Public Health on a biostatistics research project. Prior to coming to Switzerland, he completed a BSc in Financial Mathematics and Statistics at the University of Sydney and subsequently worked in various financial institutions. Currently, he is interested in statistical software and data visualisation.

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.

Jinny received her MSc in Computer Science from NCCU Taiwan. She joined SDSC as a Computer Scientist. Before joining SDSC, Jinny worked as a software engineer at the European Bioinformatics Institute (EMBL-EBI) to implement the Reference DataSet Distribution Service (RDSDS) project in Hinxton, Cambridge. RDSDS provides a centralised platform for dataset registration, management and distribution services. A core part of  RDSDS involved setting up an authentication and authorisation infrastructure and support multiple transfer protocols within the European life-sciences Infrastructure for biological Information (ELIXIR). Before that, Jinny worked for almost two years with the IT department of CERN. As a software engineer, she was responsible for setting up a virtual machine marketplace (Virtual Machine Image Catalogue, VMIC) based on OpenStack for the sharing of security appliances. Through this service they assisted more than 20 Asia Pacific sites.  Starting her professional career back in Taiwan, she was the first part of the mobile cyber security department at HTC and later joined the Grid/Cloud computing unit of the prime research organisation of Taiwan as a IT security staff. In her spare time, she likes reading Agatha Christie books and playing squash. She enjoys spending time outdoors.

Jinny is moving back to the UK  where she will be a security analyst at Cambridge Assessment that belongs to the university of Cambridge. 

Jiří is a Sr Software Engineer with a master degree in Computer Science from Charles University, Prague, Czech Republic, and a M.Sc. degree in Software Engineering from Mälardalen University, Västerås, Sweden. He has been a staff member at CERN — European Organisation for Nuclear Research, Switzerland for five years. Before joining the SDSC, Jiří was a core member of Invenio development team working on a framework that covers all aspects of digital library management or document repository on the web. During his work at RedHat and in his free time he has contributed to many open-source packages. He is active as a maintainer of several Python packages and contributor to libraries around Flask framework.

Jiří now lives in Bilbao and joined StubHub (eBay) as a software engineer.

Johann holds a Master’s Degree from École Polytechnique, Saclay and joined the Swiss Data Science Center in early 2017. Before joining the team Johann-Michael has worked at IBM Research in Dublin where he covered a variety of topics such as Big Data Analytics and Predictive Maintenance. He is now focusing on development and deployment of the Renku platform along with projects involving industry partners.

Johann joined Google Zurich in January 2019 and is working on the Google Assistant.

Julien joined the Swiss Data Science Center in January 2017, after he got his PhD degree, as well as his Master degree with an Excellence Fellowship, from EPFL’s school of Computer and Communication Sciences. In parallel, he is one of the co-founder of Arcanite Solutions, a growing consulting company, with some former PhD fellows and friends. During his PhD he had the chance to work at the Nokia Research Center, located on EPFL’s campus, on context awareness in mobile devices. He also spent half a year at Nestlé/Nespresso designing and setting up the infrastructure for centrally managing the development of mobile applications for all Nestlé’s subsidiary brands.

As of 2019, Julien is dedicating all of his time to Arcanite, the successful start-up he co-founded a couple of years ago.

Manuel Knott has joined the scientific team of SDSC in September 2021. Manuel received a BSc and MSc in Mechanical Engineering from the University of Erlangen-Nuremberg, Germany, and another MSc in Data Science from the University of Amsterdam, Netherlands. From 2018 until 2021, he worked as a data scientist in Industry mainly focusing on data-driven applications in manufacturing and 3D computer vision. He recently started a joint PhD position with Empa and SDSC where he is working on physics-inspired machine learning models to predict the quality decay of fruits in postharvest supply chains. Another research focus will be deep generative models for image generation and classification.

Marcel Blattner joined the industry cell in 2020 as a Principal Data scientist at the Zürich office.  After his Ph. D. in physics and a research stay at the Brookhaven National Laboratory, he worked in various industries. His passion is to translate abstract concepts into business-relevant solutions and help the industry benefit from the latest data science developments.  Before joining the Swiss Data Science Center he was Chief Data Scientist at TX Group where he led projects in Computer Vision, NLP, and Optimization. To keep up-to-date with the latest research findings, he engages in research of interpretability and artificial neural network transparency.

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.

Mathias has decided to take a Scientific Project Manager position at the new Cyber-Defense Campus (armasuisse) on the EPFL Innovation Park.

Sadly, Maysam has left us. We have shared the daily work with you, in the last months we have always been with you in our thoughts. We are grateful that you were with us and that we were allowed to walk a little way with you.
We miss you and we will keep you in our memories.

Maysam’s bio as we had it on our website:
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.

Thanks to all the work carried out by Maysam during his time at the SDSC, the following research was possible:

• Datalakes
• Bistom

You can find his in memoriam here.

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.

Natasa is a computer scientist by training, with a Bachelor degree in Computer Science and Engineering and Master degree in Embedded Systems from Ss. Cyril and Methodius University in Skopje, North Macedonia. She finished her doctoral studies in Information Systems at UNIL- HEC Lausanne, under the supervision of Valérie Chavez-Demoilun. During her studies she did an internship at NATO and Facebook AI Research. Her research interest focuses on causal inference, generative models, uncertainty and interpretability.

In 2015, Nicole joined a school called CPNV (Professional Center of Northern Vaud). She spent a year at the SDSC as a graphic design intern and has now returned to school to get her diploma. At the end of her training, she will get a CFC Mediamaticienne (“médiamatique” includes design, photography and computing skills).

Nina has joined the SDSC in 2019 as administrative organizer. Her strengths lie clearly in communicating, structuring and organising. With more than 20 years of experience in sales, marketing and project management, she has specialized as a flexible generalist. After completing her commercial apprenticeship decades ago she has soon found interest in building up back offices in the field of start-up and small business. She is very excited to becontinuing this journey with the SDSC at the interface of the academic community and the industrial sector.

Quentin joined SDSC in 2021 as a data scientist in the industry team.
His expertise lie at the intersection of big data, software engineering and machine learning, with a strong interest for applications in domains like energy, telecoms, manufacturing.
Quentin graduated EPFL in 2020 with a M.Sc. in computer science and a specialisation in data analytics. He carried out his master thesis on algorithms for pattern recognition in event streams, and also contributed in smart grid projects during his studies.
On his free time, Quentin is a keen volleyball player, snowboarder, and occasional cross country biker.

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.

https://www.github.com/achanta/

Raphaël graduated in 2014 with an engineering degree from l’Ecole des Mines de Paris and holds since 2018 a Ph.D. in Statistics from l’Ecole Polytechnique Fédérale de Lausanne. Before joining the Swiss Data Science Center as senior data scientist, Raphaël was post-doctoral researcher at the Institute of Mathematics at EPFL working on quantitative risk modelling for natural hazards using extreme value theory. His research interests lie at the boundary of statistics and environmental sciences with a special focus on the analysis of spatio-temporal data.

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.

Samuel has decided to pursue a PhD at the computer science department of University of Zürich in the area of research in deep learning.

Sandra has studied astrophysics at the Rijksuniversiteit Groningen (the Netherlands) and obtained her PhD from the Observatoire de Paris (France). Afterwards she worked as a Scala developer at one of the largest banks in the Netherlands. At SDSC (Lausanne) she contributes to the RENKU platform as a software engineer, and she is involved in several on-going data science projects, including a project on food safety with a large industrial group.

Sandra relocated to Kiev and now works for BT9 as a data analyst.

Sandro is a Data Science passionate with many years of experience applying Data Science in industries such as Finance, Telco, Chemicals, Online Travel and Retail. He was Chief Industry Advisor at the Swiss Data Science Center until May 2022. Sandro holds a PhD in Computer Science from EPFL and founded the Swiss Association for Analytics to promote Data Science in Switzerland.

Tao Sun joined SDSC as a Computer Scientist in March 2020. Tao holds a MSc in Electrical & Electronic Engineering from EPFL, where he specialized in data analytics and developed a keen interest in machine learning. Before coming to Switzerland, he completed his undergraduate studies in Zhejiang University (Hangzhou, China) with a major in Electronic Information Engineering and a minor in Public Administration.

Tanja joined the SDSC as a senior data scientist in June 2019. Previously, she was a postdoctoral researcher at Stanford University working on educational data sciences. Before that, she worked as a postdoctoral researcher at ETH Zurich and as a consultant for Disney Research Zurich and Dybuster AG. Tanja received her PhD in Computer Science from ETH Zurich. Her research is in the field of artificial intelligence in education and she is especially interested in modeling and predicting human thinking and behavior in computer-based systems.

Tanja has relocated to Lausanne and is now an Assistant Professor at EPFL.

Travis started out in test automation at a search engine company called Splunk. He then worked on consumer cloud storage products at Amazon and Microsoft. His interest in the Scala programming language as well as the alps brought him to Switzerland. He joined the SDSC in 2020 as part of the KG Team.

Viktor Gal joined the RENKU team as a senior software engineer in 2021. He finished his post-graduate studies at the University of Ghent (Belgium) as a Marie-Curie fellow, where his research was in medical image similarity using machine learning. He worked about 5 years in industry [telecomm, banking, e-commerce] as a data scientist. In 2017, he has moved to Zurich to start his PostDoc at ETHZ with Gunnar Rätsch, where he got involved with Renku about 2 years ago. On a windy day you can always find him on the lake trying to foil with his boat.

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.