The EPFL School of Life Sciences and the EPFL Center for Intelligent Systems are delighted to invite all EPFL professors, research staff and students to the first CIS-SV AI deepdive. We are looking forward to exchanging on AI in Life Sciences in general and to discuss challenges and opportunities .The event consists of keynotes, poster sessions and networking.
Please indicate whether you will present a poster and submit the title of your poster when registering for the event. Presenting a poster is strongly recommended but optional.
Format: Scientific poster – A0 (Portrait)
Print: Please note, that you will be in charge of printing the poster and bringing it on-site on the day of the event.
Location: Building SV, EPFL – Room: SV1717
*7 talks, each talk 15 min + 5 min Q&A
Collaborations established through CIS
Moderator: Dr Jan Kerschgens
Informed machine learning for medicine
Creating an assistive environment for people with limited mobility using modular robot
Structural biology and protein design in the era of AI
Moderator: Prof. Pierre Vandergheynst
Paolo de los Rios
Lucas Rudden [Barth group]
Ilia Igashov [Correia group]
Lucien Krapp [Dal Peraro group]
Umberto Lupo [Bitbol group]
*8 talks, each talk 15 min + 5 min Q&A
Machine learning in single cell omic analyses
Moderator: Anne-Florence Bitbol
Gioele La Manno
Graph machine learning for biomedical discovery
Moderator: Prof. Pascal Frossard
Machine learning in microscopy
Moderator: Prof. Amir Zamir
Microscopy image analysis with (un)supervised machine learning
Moderator: Prof. Amir Zamir
Using collaborative robots in experiments
Ana Marija Jaksic
Moderator: Prof. Nicolas Flammarion
Neuroengineering Laboratory – Prof. Ramdya
Demo: Recording neural activity in behaving flies. Performing neuromechanical simulations of flies.
Laboratory for Biomolecular Modeling – Prof. Dal Peraro
Laboratory of Protein Design and Immunoengineering – Prof. Correia
Laboratory of Systems Biology and Genetics – Prof. Deplancke
Demo: IRIS–Interconnected robotic imaging and sequencing. IRIS is a robotic system that uses a microfluidics and imaging to combine the phenotype of a cell with the transcriptome of that same cell. This technology has the potential to allow prediction of the transcriptome of a cell from an image alone.
Laboratory of Neurodevelopmental Systems Biology – Prof. La Manno
Demo: Demo of HybISS data visualization
Experimental Evolutionary Neurobiology – Dr. Jaksic
Demo: Two-arm ABB Yumi collaborative robot and application for setting up a behavioral experiments
Biorobotics Laboratory (BioRob) – Prof. Ijspeert
Demo: Assistive robotics project + possibly other robots (Quadruped or swimming) + FARMS and neuromechanical simulations
Laboratory of protein and cell engineering – Prof. Barth
@ SV1204 – TBC
Note: This event will be photographed. Please be advised that CIS may use photographs taken during events for publication in print and online. Please alert the photographer or CIS team member at the beginning of the event if you wish not to have your photograph taken.