Federico AmatoI have an MSc in Engineering and a Ph.D. in Sustainable Development and Innovation Engineering. After a three-year Postdoc in Environmental Data Mining, in 2021 I joined the Swiss Data Science Centre, a joint venture between the polytechnical schools of Lausanne (EPFL) and Zurich (ETH) having as mission the acceleration of the digital transformation of the academic community and the industrial sector, putting to work Artificial Intelligence and Machine Learning and facilitating the multidisciplinary exchange of data and knowledge.
Over the years I worked on the development of methodological tools to mine and model big spatiotemporal datasets. I extensively applied such methods to study the interaction between the spatial and temporal components of environmental and geographical phenomena, and their consequences in terms of spatial planning and urban geography. My academic activity has focused on the analysis of land-use dynamics and their relationship with climate, pollution, natural hazards, and other social/economic phenomena. I have deep competencies in applied statistics, machine learning, geocomputation, spatial statistics, urban modeling, and remote sensing. I am also an expert in European Project development and implementation.
Vittorio ErbaTeaching & PhD Courses Statistical physics of computation PHYS-512 The students understand tools from the statistical physics of disordered systems, and apply them to study computational and statistical problems in graph theory, discrete optimisation, inference and machine learning.
Camille Aude RollandResearchCurrent Research Fields Microbes in radioactive waste disposalIn Switzerland, radioactive waste will be stored in a deep geological repository hosted within the Opalinus Clay rock formation. During long-term storage, hydrogen gas is expected to be generated through the anoxic corrosion of the steel containers that hold the waste. To prevent the accumulation of hydrogen, we propose creating conditions within the repository that allow microorganisms to grow and consume this gas. My PhD focuses on thre
Rajita Ramesh ChandakExpertise
Nonparametric estimation, statistical inference, theory of machine learning
Teaching & PhD Courses Nonparametric estimation and inference MATH-524 Nonparametric models are used to identify a wide range of relationships within data. This course gives a graduate-level overview of nonparametric statistical estimation and inference theory. Statistical inference MATH-562 Inference from the particular to the general based on probability models is central to the statistica
Tara HabibiCurrent Work
SafeShore ProjectPrincipal Investigator Climate change will lead to significant sea level rise and more frequent, intense storm surges. These developments pose severe risks to coastal regions, threatening human lives, cultural heritage, and economic stability. Conventional shoreline protection methods, such as seawalls and armour blocks, have proven effective. However, their reliance on heavy concrete makes them slow to construct and environmentally unsustainable. To address these challenges, t
Benjamin Alexander Kellenberger2020–: Postdoctoral Researcher, EPFL, Sion, Switzerland2020: Postdoctoral researcher, Wageningen University, Netherlands2017–2020: PhD (cont'd); Wageningen University, Netherlands2016–2017: PhD; University of Zurich, Switzerland2009–2014: BSc. and MSc. in geography (remote sensing and GIS) and computer science; University of Zurich, Switzerland
Nicolas Louis DerlonTeaching & PhD Courses Treatment and valorization of water and waste ENV-304 Water and waste management systems in Switzerland: from end-of-pipe treatment to closed-loop system. Principles of water supply, evacuation and treatment. Basis for the dimensioning of networks and treatment plants. Management, treatment and valorization of urban waste. Visits. French language.
Guillaume Romain ObozinskiGuillaume Obozinski is Deputy Chief Data Scientist at the Swiss Data Science Center. He 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.
Ivan HajdukovicExpertise
Macroeconomics, Economic policies, International economics, Environmental and resource economics, Nature-based solutions, Applied econometrics,
I am an applied economist with a keen interest in economic policies, international economics, environmental and resource economics, and agricultural and forestry economics. I obtained my PhD in Economics from the University of Barcelona in 2021 and hold a Master's degree in Economics from the University of Lausanne, and a Bachelor's degree in Economics fro
