Matthias LütolfMatthias Lutolf is Full Professor at EPFL’s Institute of Bioengineering, with a cross appointment in the Institute of Chemical Sciences and Engineering. Lutolf was trained as a Materials Engineer at ETH Zurich where he also carried out his PhD studies (with Jeffrey Hubbell) that were awarded with an ETH medal. He continued his research training as a Post-Doctoral Fellow in Stem Cell Biology (with Helen Blau) at Stanford University. He has served as the Director of the Institute of Bioengineering from 2014 to 2018. Lutolf is an internationally recognized leader in the fields of stem cell bioengineering and tissue engineering. His research program uniquely combines stem cell biology with engineering principles and quantitative thinking. His team, composed of engineers, chemists, physicists, cell and developmental biologists, strives to develop technologies that have true biological and medicinal function and applicability. Lutolf’s work has led to more than 110 peer-reviewed scientific publications, many of which published in highly reputed journals, more than 25 patents, and the commercialization of several products. Current research in the Lutolf lab is focused on the bioengineering of miniature tissues, termed organoids, that are generated from self-organizing stem cells.
Anthony Christopher DavisonAnthony Davison has published on a wide range of topics in statistical theory and methods, and on environmental, biological and financial applications. His main research interests are statistics of extremes, likelihood asymptotics, bootstrap and other resampling methods, and statistical modelling, with a particular focus on the first currently. Statistics of extremes concerns rare events such as storms, high winds and tides, extreme pollution episodes, sporting records, and the like. The subject has a long history, but under the impact of engineering and environmental problems has been an area of intense development in the past 20 years. Davison''s PhD work was in this area, in a project joint between the Departments of Mathematics and Mechanical Engineering at Imperial College, with the aim of modelling potential high exposures to radioactivity due to releases from nuclear installations. The key tools developed, joint with Richard Smith, were regression models for exceedances over high thresholds, which generalized earlier work by hydrologists, and formed the basis of some important later developments. This has led to an ongoing interest in extremes, and in particular their application to environmental and financial data. A major current interest is the development of suitable methods for modelling rare spatio-temporal events, particularly but not only in the context of climate change. Likelihood asymptotics too have undergone very substantial development since 1980. Key tools here have been saddlepoint and related approximations, which can give remarkably accurate approximate distribution and density functions even for very small sample sizes. These approximations can be used for wide classes of parametric models, but also for certain bootstrap and resampling problems. The literature on these methods can seem arcane, but they are potentially widely applicable, and Davison wrote a book joint with Nancy Reid and Alessandra Brazzale intended to promote their use in applications. Bootstrap methods are now used in many areas of application, where they can provide a researcher with accurate inferences tailor-made to the data available, rather than relying on large-sample or other approximations of doubtful validity. The key idea is to replace analytical calculations of biases, variances, confidence and prediction intervals, and other measures of uncertainty with computer simulation from a suitable statistical model. In a nonparametric situation this model consists of the data themselves, and the simulation simply involves resampling from the existing data, while in a parametric case it involves simulation from a suitable parametric model. There is a wide range of possibilities between these extremes, and the book by Davison and Hinkley explores these for many data examples, with the aim of showing how and when resampling methods succeed and why they can fail. He was Editor of Biometrika (2008-2017), Joint Editor of Journal of the Royal Statistical Society, series B (2000-2003), editor of the IMS Lecture Notes Monograph Series (2007), Associate Editor of Biometrika (1987-1999), and Associate Editor of the Brazilian Journal of Probability and Statistics (1987 2006). Currently he on the editorial board of Annual Reviews of Statistics and its Applications. He has served on committees of Royal Statistical Society and of the Institute of Mathematical Statistics. He is an elected Fellow of the American Statistical Assocation and of the Institute of Mathematical Statistics, an elected member of the International Statistical Institute, and a Chartered Statistician. In 2009 he was awarded a laurea honoris causa in Statistical Science by the University of Padova, in 2011 he held a Francqui Chair at Hasselt University, and in 2012 he was Mitchell Lecturer at the University of Glasgow. In 2015 he received the Guy Medal in Silver of the Royal Statistical Society and in 2018 was a Medallion Lecturer of the Institute of Mathematical Statistics.
Lijing XinLijing Xin is a research staff scientist and 7T MR Operational Manager at the Center for Biomedical Imaging (CIBM), Ecole polytechnique fédérale de Lausanne (EPFL), Switzerland. Her research interests focus on developing cutting-edge magnetic resonance spectroscopy and imaging methods for better understanding the brain function and the pathophysiology of neurological diseases. Her journey on magnetic resonance imaging (MRI) started from her master project during 2002-2005, where she developed a gradient unit with eddy current compensation and a pulse sequence generator for MRI spectrometer, which enhanced her knowledge in MR instrumentation. Later, she obtained her PhD in physics from Ecole polytechnique fédérale de Lausanne (EPFL) in 2010, where she focused on developing various novel 1H and 13C magnetic resonance spectroscopy (MRS) acquisition and quantification methods as well as RF coils on high field preclinical MR scanners. Afterwards, she started working on the clinical MR platforms including both 3 and 7T and continued to improve and develop novel acquisition and quantification methods for 1H, 13C and 31P nuclei. She carries on interdisciplinary collaborations with different partners, particularly with clinical partners where translational strategies are performed to explore the pathophysiology of psychiatric disorders and disease biomarkers for early diagnose and intervention.
Françoise Gisou van der Goot GrunbergGisou van der Goot est responsable du Laboratoire de Biologie Cellulaire et Membranaire et co-fondatrice de l'Institut dInfectiologie, à la Faculté des Sciences de la Vie de l'EPFL.Depuis 2021, Prof. van der Goot est Vice-présidente pour la transformation responsable, moteur du changement de l’EPFL vers une culture inclusive et un campus durable. De 2014 à 2020, Prof. van der Goot a occupé la fonction de Doyenne de cette même Faculté.Avant sa nomination à l'EPFL, en 2006, elle était Cheffe de Groupe à la Faculté des Sciences de lUniversité de Genève (UNIGE), puis Professeure Associée à la Faculté de Médecine. Prof. van der Goot a d'abord obtenu un diplôme dIngénieur de l'Ecole Centrale de Paris avant dentamer une thèse en Biophysique Moléculaire au CEA de Saclay (Université de Paris VI), suivie dun séjour postdoctoral au Laboratoire Européen de Biologie Moléculaire (EMBL) à Heidelberg (Allemagne). Différentes distinctions lui ont été décernées, dont, en 2001, le Prix Young Investigator de l'EMBO (Organisation européenne de Biologie Moléculaire), puis, en 2005, le soutien par le programme international du Howard Hughes Medical Institute (HHMI, Etats-Unis); en 2009, elle a été la première femme à obtenir le Prix Marcel Benoist. La même année, elle est élue membre de lEMBO. Les domaines dexpertise du Prof. van der Goot incluent les mécanismes moléculaires et cellulaires des toxines bactériennes, l'organisation des membranes (des mammifères) et la biologie des organelles. Prof. van der Goot est membre du conseil scientifique de diverses organisations telles que le Fonds National Suisse de la Recherche Scientifique (SNF), le Conseil Suisse de la Science et de la Technologie (CSST) et le Conseil Européen de la Recherche (ERC).
Mor-Miri MishkovskyI am a chemist, graduated Cum Laude in 2002 from Tel Aviv University in Israel. I obtained a PhD in Physical Chemistry from the Weizmann Institute of Science in Israel on the development of new technology for rapid detection of nuclear magnetic resonance (NMR) spectroscopic data aiming at reducing the measurement time from hour to a fraction of seconds. My thesis “Methodological Developments in Ultrafast Multidimensional NMR” granted me the Auto Swartz excellence award in 2007. Since 2009 I am working with the Laboratory of Functional and Metabolic Imaging at the École Polytechnique Fédérale de Lausanne (EPFL), Switzerland, on the development of hyperpolarized (HP) magnetic resonance spectroscopy (MRS) methodologies for monitoring biochemical processes in real-time.My research is focused on the development of Magnetic Resonance (MR) Molecular Imaging by dissolution dynamic nuclear polarization (dDNP). HP agents to interrogate biochemical processes in real-time are applied in vivo in the healthy brain and disease models, aiming at improving our understanding of cerebral function and metabolism toward better clinical diagnostics and therapy.
Nikolaos StergiopoulosEducation
MTE, Managing the Technology Enterprise Program (2000), IMD, Lausanne
Ph.D. in Biomedical Engineering & Engineering Mechanics (1990) Iowa State University, Ames, Iowa.
MS in Biomedical Engineering (1987) Iowa State University, Ames, Iowa.
Diploma in Mechanical Engineering (1985) National Technical University of Athens.
Professional Activities
2002 - present: Professor and director of LHTC
2010 - present: Founder and director of Rheon Medical SA, Préverenges, Switzerland
2008 - present: Founder and director of Antlia S.A., PSE-C, EPFL campus, Switzerland
1998 - 2007: Founder and Scientific Director of EndoArt S.A., Lausanne, Switzerland
1996 - 2002: Assistant professor at the Biomedical Engineering Laboratory, Swiss Federal Institute of Technology, Lausanne, Switzerland.
1991 - 1996: Research Associate at Swiss Federal Institute of Technology - Lausanne
1990 - 1991: Lecturer, Iowa State University
Cristina Ramona CudalbuCristina Cudalbu obtained her Bachelors of Science degree in Medical Physics in 2002 and Masters of Science degree in Biophysics and Medical Physics in 2003, both from University Babes-Bolyai, Cluj-Napoca, Romania. In 2006 she obtained her PhD degree in Localized Proton MRS and time domain quantification of cerebral metabolites at 7T and 4.7T at University Lyon 1, RMN Laboratory, Villeurbanne, France.In 2007, she joined, as a Scientist, the Laboratory for Functional and Metabolic Imaging at EPFL, where she implemented new acquisition and quantification techniques for in vivo nitrogen, proton and carbon MRS for preclinical studies. Starting 2012, Cristina Cudalbu was appointed as Research Staff Scientist and 9.4T MRI Operational Manager at Centre d’Imagerie Biomédicale (CIBM) at EPFL. She is now developing new research lines at CIBM, being oriented towards new acquisition and quantification techniques for in vivo proton, phosphorous, carbon, nitrogen MRS and fast MRSI, diffusion weighted spectroscopy and brain macromolecules quantification. She is now applying these developments on chronic hepatic encephalopathy, a research area that she developed at CIBM (https://actu.epfl.ch/news/when-liver-disease-affects-the-brain/), and on different collaborative projects with researchers from the five partner institutions of CIBM. 