Meet the team behind UQCloud and UQ[py]Lab

Dr. Christos Lataniotis

Christos holds a Diploma in Mechanical Engineering from the National Technical University of Athens, focusing on industrial automation and control theory and an MSc. in robotics, systems, and control from ETH Zurich.

Back in 2013, after completing his Master's studies, Christos joined the Chair of Risk, Safety and Uncertainty Quantification as a full-time scientific developer contributing to the UQLab project. During that time, he participated in the development of several UQLab modules (Input, Model, Kriging, Support vector machines) as well as several front- and back- end services. Christos then started a Ph.D. at the Chair in September 2015, titled “Data-driven uncertainty quantification for high-dimensional engineering problems” under the co-supervision of Prof. Dr. Bruno Sudret and Dr. Stefano Marelli.

Starting from February 2020, Christos is a member of the Chair as a post-doctoral researcher primarily working on high-performance computing algorithms and their capitalization into UQLab, funded by the SAMOS project. As part of this project Christos leads the development of the UQCloud service. This includes several backend services and language bindings such as UQ[py]Lab.

Prof. Bruno Sudret

Bruno Sudret got a master of science from the Ecole Polytechnique (France) in 1993. He then obtained a master’s degree and a Ph.D in civil engineering from the Ecole Nationale des Ponts et Chaussées (France) in 1996 and 1999, respectively. Bruno Sudret has been working in probabilistic engineering mechanics and uncertainty quantification methods for engineering systems since 2000: first as a post-doctoral fellow at the University of Berkeley (California), then as a researcher at EDF R&D (the French world leader in nuclear power generation) where he was the head of a group specialized in probabilistic engineering mechanics at the Department of Materials and Mechanics of Components. From 2008 to 2011 he has worked as the Director of Research and Strategy at Phimeca Engineering, a consulting company specialized in structural reliability and uncertainty quantification in engineering.

Bruno Sudret has been a professor of Risk, Safety and Uncertainty Quantification in Engineering at the Institute of Structural Engineering since August 2012.

Dr. Stefano Marelli

Stefano Marelli received his MSc in Physics from the University of Milano Bicocca in 2006 with a thesis on fast Monte-Carlo simulation of stochastic processes in particle accelerators. His research interests evolved into the field of deterministic inverse theory and its applications during his PhD (2007-2011) in the Applied and Environmental Geophysics group at ETH Zurich. Stefano's doctoral research focused on seismic full-waveform tomography as a tool for the non-intrusive monitoring of radioactive-waste disposal sites. His work on geophysical tomographic inversion continued with a 1-year postdoc with James Irving in the Institute of Geophysics at the University of Lausanne, where his research focused on uncertainty analysis in geophysical imaging.

In 2012 he joined the Chair of Risk, Safety and Uncertainty Quantification in ETH Zurich as a postdoctoral researcher on the topic of High Performance Computing applied to uncertainty quantification. Together with Prof. Sudret, he bootstrapped the UQLab software project, the Chair IT infrastructure, and assisted in the design and teaching of various courses provided by the Chair. His research focuses on active learning methods for uncertainty quantification and high-dimensional input-output UQ problems.

He is currently Senior Scientist (senior lecturer) in the Chair, leading the technical development of UQLab.

Dr. Adéla Hlobilová

Adéla graduated in 2012 from the Czech Technical University in Prague as a civil engineer. During her bachelor's and master's studies, she focused on global sizing optimization. In 2012, she started her doctoral studies working on an industrial project with the European Space Agency, aimed at optimizing the geometry of a nozzle extension to minimize its weight and maximize its reliability w.r.t prescribed uncertain loading.

The whole reliability-based design optimization process interconnected approximation techniques, multi-objective optimization, reliability assessment, and meta-modelling. Adéla obtained her PhD in 2020 and joined the Institute of Theoretical and Applied Mechanics of the Czech Academy of Sciences in Prague to develop algorithms for generating virtual microstructures of cement paste and their statistical description.

Adéla then joined the Chair of Risk, Safety and Uncertainty Quantification in June 2022 as a postdoc to work on the UQLab/UQCloud software platforms.

Rui Miguel Dias Moreira

Rui received his BSc and MSc degrees in Mechanical Engineering at the University of Porto (FEUP). During his Master's studies, he specialized in automation, control systems and instrumentation. The focus of his MSc thesis was to conceive a non-​invasive thermal measurement system for FDM 3D printers, which led him in 2016 to start his professional career as an Additive Manufacturing researcher in the Institute of Science and Innovation in Mechanical and Industrial Engineering (INEGI ) at Porto, Portugal.

He resumed his studies in 2019 to graduate in Data Science at the IE Business School in Madrid and has been working in this field since then in distinct industries, namely in glass manufacturing and digital healthcare.

Rui joined the Chair of Risk, Safety and Uncertainty Quantification in September 2021 to contribute as a software developer for a teaching web platform related to the civil engineering Bachelor course “Structural Mechanics”.

Rui contributed in the development of UQ[py]Lab, in particular in the plotting routines of several modules.