2017 Symposium Keynotes

Dr. Christine Orengo

Dr. Christine Orengo is an expert in bioinformatics applied to protein structure and evolution. She is a Professor of Bioinformatics at University College London (UCL)  and currently leads a research group focused on understanding how protein domains are conserved over evolutionary time and developing methods to predict protein function. Dr. Orengo began her career at UCL, where she was awarded a PhD in Biochemistry in 1984. She went on to work in industry for a short time, did a postdoc at the National Institute of Medical Research and eventually returned to UCL. Notably, her group developed The CATH Protein Structure Classification database in the mid 1990’s, which still provides up-to-date information about the evolutionary relationships between protein domains.

 

 

 

 

Dr. Johannes Söding

Johannes Söding is an internationally recognized researcher in the fields of computational biology and bioinformatics. He has authored and coauthored some of the most groundbreaking tools to detect protein homology, study protein structure and evolution focusing on the use of statistical modeling. His work on the comparison of Hidden Markov Models and tools like HHblits, to detect remote homology in protein sequences, has significantly contributed to increase the scientific community's understanding of proteins in general. Also, the HHPred server has been one of the best performing servers in the last blind structure prediction CASP competitions during the last years. As an expert on improving the way in which to align protein sequences, he also collaborated on the development of Clustal Omega, which is one of the best performing softwares for aligning protein sequences. After more than a decade of sucessful work on the protein side of bioinformatics, Johannes Söding has expanded his research focus to many different research topics like single cell transcriptomics, transcriptional regulation, personalized medicine and others applying quantitative and edge-cutting statistical methodologies.