Sandrine Muller
About Sandrine Muller
Sandrine Muller is a Computational Scientist at the Broad Institute in Cambridge, Massachusetts, where she has worked since 2020. She has a background in computational research, having held positions at Massachusetts General Hospital and Lausanne University Hospital.
Work at Broad Institute
Sandrine Muller has been employed as a Computational Scientist at the Broad Institute since 2020. Located in Cambridge, Massachusetts, the Broad Institute is renowned for its contributions to biomedical research and genomic studies. In her role, Muller engages in computational analyses and collaborates with interdisciplinary teams to advance research initiatives.
Current Role at Massachusetts General Hospital
In addition to her position at the Broad Institute, Sandrine Muller serves as a Postdoctoral Fellow at Massachusetts General Hospital. She has held this role since 2017, contributing to various research projects that integrate computational methods with clinical applications. Her work focuses on enhancing understanding in the field of computational biology.
Previous Experience at Chuv | Lausanne University Hospital
Prior to her current roles, Sandrine Muller worked as a PhD student at Chuv | Lausanne University Hospital from 2013 to 2017. During her time there, she was involved in research at the LREN (Lausanne University Hospital's Research Center for Neuropsychology and Psychopathology), focusing on computational approaches in neuroscience.
Internship Experience at L'Oréal
In 2012, Sandrine Muller completed a five-month internship in Molecular Modelization at L'Oréal in Paris, Île-de-France, France. This experience provided her with practical exposure to molecular modeling techniques, contributing to her foundational knowledge in computational science.
Master's Project at EPFL
Sandrine Muller also undertook a Master Student Project at EPFL (École Polytechnique Fédérale de Lausanne) in 2012. This four-month project in Lausanne, Vaud, Switzerland, allowed her to apply her academic knowledge in a practical setting, furthering her expertise in computational methodologies.