Description

Leader of the group Life Sciences and Health: Leen Stougie.

Our research group creates fundamental knowledge and applied solutions in the broad field of life sciences. We promote understanding of how biological processes work in detail. Our interdisciplinary team of computer scientists, mathematicians and theoretical biologists develops new models, theories, and decision support systems in collaboration with experimental biologists and medical experts. We are motivated by applications of our work in practice

 

Watch our group video to get a glimpse of our activities or click here for more information about our group structure.

 

News

Current events

Seminar by Martin Farach-Colton, Better File Systems through Data Structures

  • 2019-10-16T16:00:00+02:00
  • 2019-10-16T17:00:00+02:00
October 16 Wednesday

Start: 2019-10-16 16:00:00+02:00 End: 2019-10-16 17:00:00+02:00

CWI, L017

Martin Farach-Colton (Rutgers University) will be visiting CWI on Wednesday October 16. He will be giving a theory/practice talk which may be of your interest.

Title: Better File Systems through Data Structures

Abstract: This talk will describe the lessons learned from the BetrFS project, a research file system based on write-optimized data structures.  BetrFS outperforms other file systems by orders of magnitude on their worst cases, while matching them on their best cases.  BetrFS is also immune to file-system aging (i.e. fragmentation), a problem that can cause up to 20x slowdowns in other file systems.  The talk will explain what write-optimized data structures are, how they work, and how they are used in BetrFS.

Members

Associated Members

Publications

Software

Current projects with external funding

  • 3D dose reconstruction for children with long-term follow-up Toward improved decision making in radiation treatment for children with cancer ()
  • Improving Childhood Cancer Care when Parents Cannot be There - Reducing Medical Traumatic Stress in Childhood Cancer Patients by Bonding with a Robot Companion ()
  • Enhancing protein-drug binding prediction
  • ICT based Innovations in the Battle against Cancer – Next - Generation Patient -Tailored Brachytherapy Cancer Treatment Planning
  • Statistical Models for Structural Genetic Variants in the Genome of the Netherlands
  • Fusible Evolutionary Deep Neural Network Mixture Learning from Distributed Data for Robust Medical Image Analysis (FEDMix)
  • Multi-Objective Deformable Image Registration (MODIR) – An Innovative Synergy of Multi-Objective Optimization, Machine Learning, and Biomechanical Modeling for the Registration of Medical Images with (MODIR)
  • Networks

Related partners

  • AMC Medical Research
  • Elekta Limited
  • Nucletron Operations BV
  • Xomnia
  • Academisch Medisch Centrum
  • Biomedical Imaging Group Rotterdam
  • Erasmus Universiteit Rotterdam
  • KiKa
  • Technische Universiteit Delft
  • Universiteit Leiden