It is our great pleasure to announce our first confirmed invited speakers who will present cutting-edge ideas and research in computational biology and bioinformatics. Stay tuned for the registrations which will open in April 2021.

Aleksandra Walczak

Laboratoire de Physique - Ecole Normale Supérieure, France

The immune system is a complex biological system with the main aim of recognizing and eliminating pathogens. Understanding the interactions of its different cellular and molecular components remains a fascinating puzzle. Aleksandra Walczak's research is focussed on developing theoretical frameworks that describe how interactions between molecular components in a cell influence and/or determine observed phenotypes.

Presenting in the session Pathogens, immune systems and host-pathogen interactions: an arms race with infectious agents

Thomas Fuchs

Memorial Sloan Kettering Cancer Center, USA

Thomas Fuchs and his lab develop and apply quantitative methods using machine learning, computer vision and biostatistics to analyse digital microscopy slides from pathology departments and to relate the resulting statistical descriptors to patient outcomes.

Presenting in the session Artificial intelligence, machine learning and computer vision: expanding the bioinformatics toolkit

Olivier Elemento

Weill Cornell Medicine, USA

Olivier Elemento combines Big Data analytics with experimentation to help prevent, diagnose, understand, treat and ultimately cure cancer. His research involves routine use of ultrafast DNA sequencing, proteomics, high-performance computing, mathematical modeling, and artificial intelligence/machine learning.

Presenting in the session Cancer biology and precision medicine: deepening our understanding towards tailored treatments

Rachel Freathy

University of Exeter, UK

Understanding the fetal and maternal genetic variants influencing offspring birth weight is of great importance, as the latter correlates with risks and disease development. Using genome-wide association studies and meta-analyses, Rachel Freathy’s research focuses on identifying associations between maternal and fetal genetic traits.

Presenting in the session Population genomics in human health: connecting genotypes to phenotypes