EICSE’s mission is to amalgamate the talent and diverse expertise of researchers from within multiple EPFL faculties, in order to break barriers in trans-disciplinary cancer research. The imperative is to advance both the knowledge of disease mechanisms, and the engineering of therapeutic and diagnostic agents, as well as tools based on new conceptual insights and opportunities. This EPFL-wide Center will seek to inspire an interactive and collaborative community of scientists and engineers who are broadly focused on cancer, a leading cause of death and morbidity worldwide.
EICSE activities currently include retreats for brainstorming amongst faculty members and to introduce research programs relating to cancer, with the goal of catalyzing interdisciplinary collaborations. In the future, seed grants are envisaged to stimulate collaborative bridging projects involving research groups with complementary expertise and capabilities to further develop transformative innovation.
Visit the website and see how your lab can participate in creating a powerful interdisciplinary tool – do not hesitate to contact Lisa Smith (lisa.smith@epfl.ch) to add your lab’s details.
Martinez PhD Fellowship in Computational Cancer Biology
- The EICSE Association is pleased to be able to offer a unique opportunity via a dedicated donation by the Martinez Family for fellowship funding of 2 PhD students per year for the next 4 years
- Eligible Ph.D. students should have passed the candidacy exam brilliantly and be nominated by their supervisor with the approval of the president of the committee
- The fellowship will cover the Ph.D. student’s salary for 2 years
- Based on the number of nominations selected, D. students could be invited for a short interview with the awardee committee chaired by the ISREC Director
- Students who apply be carrying out research in a lab which is an EICSE member
- Interested students can contact the ISREC Administration, Lisa Smith for more information.
Meet our 2 Fellowship recipients for 2025
Camille Lambert
My research develops innovative methods to analyze multimodal single-cell datasets combining high-resolution imaging with transcriptomics. Using technology from the Laboratory of Systems Biology and Genetics, I am building an interpretable machine learning framework to link cellular morphology to function and molecular profiles. In collaboration with the Aceto lab (ETHZ), a leader in CTC biology, I aim to uncover relationships between CTC morphology and gene expression, shedding light on cancer progression. This work seeks to identify novel CTC subtypes with distinct phenotypes, such as tissue origin, immune modulation, and metastatic potential.
Schuyler Stoller
My doctoral research aims to develop computational methods that leverage cell-free genomes derived from circulating DNA in biofluids for reconstructing cancer genomes, cancer types, and tumour microenvironments. We apply these techniques in clinical trial settings for young patients with brain tumours with the aim to establish cell free genomics as a new standard for disease monitoring and diagnosis.