Eduardo Martin MoraudExpertise
The Moraud group develops closed-loop neuromodulation therapies for movement disorders, particularly Parkinson’s disease, with a specific emphasis on gait and balance impairments. The group integrates multimodal monitoring of motor and neural biomarkers to enable real-time decoding of dysfunctional states and their underlying neural dynamics, advancing a circuit-level understanding of locomotor control and informing the design of state-dependent adaptive therapies.
Mission
The group aims to transl
Christoph KochExpertise
knows everything ;-)
Publications
My publications in Google ScholarMy publications in DBLPMy papers on EPFL's publications server (InfoScience)Prospective PhD students and postdocs please read this before contacting me.
Christoph Koch is a professor of Computer Science at EPFL, specializing in data management. Until 2010, he was an Associate Professor in the Department of Computer Science at Cornell University. Previously to this, from 2005 to 2007, he was an Associate Professor of Computer Scienc
Romain GuietExpertise
Development of BioImage Analysis workflows and algorithms to extract quantitative data from microscopy images.BioSample Preparation : in vitro cell, organoid, time-lapse, fixation, staining strategies, actin, mitochondria, fluorescent protein expressionBioImage Acquisition : Widefield, Confocal, Whole Slide Imaging, Super-resolution (SIM, STORM, STED), FRET, FRAP, FLIMBioImage Analysis: Colocalisation analysis, Deconvolution, Time-lapse , Whole Slide ImagingTools & Software: ImageJ/Fiji, QuPath, i
Marion LeleuExpertise
Bioinformatics, Genomics, High-Throughput Sequencing, Data Mining
Mission
Provide advanced and personalised support and consulting in bioinformatics and biostatistics for the scientific community of EPFL, UNIL, and other Institutes.Her main areas of interest and expertise include but are not limited to, genomics, transcriptomics and epigenetics, with a strong interest in integrating multiple modalities, and choosing the appropriate statistical models, to gain a comprehensive understanding of compl
Amaury Pierre Jiezhi WeiExpertise
Deep Learning, Computer Vision, Physics Informed Machine Learning, Graph Neural Networks
Amaury obtained his Master's degree in Robotics from the Federal Institute of Technology in Lausanne (EPFL) in 2021.Before joining IMOS, he worked for multiple years at Logitech Europe S.A. as a Software Engineer in the field of Augmented and Virtual Reality. He researched 6DoF tracking solutions for handheld devices, developed the firmware and designed the testing strategy for the MR Stylus MX Ink.During his
Hatice Altug2020-current Full Professor at the Institute of Bioengineering, EPFL, Switzerland2013-2020 Associate Professor (with tenure) at the Institute of Bioengineering, EPFL, Switzerland 2013 Associate Professor (with tenure) at Electrical and Computer Engineering Department of Boston University, USA 2007-2013 Assistant Professor (tenure-track) at Electrical and Computer Engineering Department of Boston University, USA 2007 Post-doctoral Fellow at Center for Engineering in Medicine of Harvard Medical School, USA 2000-2007 PhD. in Applied Physics at Stanford University, USA 1996-2000 B.S. in Physics at Bilkent University, Turkey
Quy Ong KhacExpertise
Nanoparticle characterizationSurface and interface scienceAnalytical ultracentrifugationCryogenic electron tomographyScanning tunneling microscopy
Current Work
Cryogenic Transmission Electron Tomography (Cryo-ET): Developed Cryo-ET methods as quantitative thermodynamic tools. Studied interaction potentials and other thermodynamic properties of nanoparticles and proteins. Key publications: Ong Q. et al. Materials Horizons, 2022Ekaterina P., Ong, Q. et al. ACS Nano, 2026Analytical Ultracentrifugatio
Esther AmstadEsther Amstad studied material science at ETH in Zurich. She also carried out her PhD thesis at the same University under the supervision of Prof. Marcus Textor; for her thesis, she worked on the surface modification and steric stabilization of oxide nanoparticles. As a postdoctoral fellow, she joined the experimental condensed soft matter group of David A. Weitz at Harvard University where she used droplet based microfluidics to assemble different types of functional micro- and nanomaterials. In addition, she developped new microfluidic devices that enable the production of very small, airborne drops as well as devices that produce highly monodisperse emulsion drops at a very high throughput. In June 2014, Esther joined the material science department (IMX) of EPFL where she is leading the Soft Materials Laboratory (SMAL).
