Symposium of the Polish Bioinformatics Society 2023 — Keynote Speakers

We are delighted to present you with the keynote speakers for the PTBI Symposium 2023:


Djork-Arné Clevert

Head of Machine Learning Research, Vice President, Pfizer, Berlin, Germany


Djork-Arné Clevert (aka Okko) has a strong background in computer science and his expertise in the field was further solidified through his doctoral research in machine learning for computational biology. He was appointed as the Vice President and Head of Machine Learning Research at Pfizer's Worldwide Research, Development, and Medical division in October 2022, after working at Bayer for seven years where he held the position of Director and Head of Machine Learning Research in 2019.
Prior to his industry experience, Clevert worked as a Senior Scientist at the Institute of Bioinformatics, Johannes Kepler University, in the esteemed Sepp Hochreiter Lab from 2007 to 2015. During this time, he co-led several notable projects with the pharmaceutical industry (JnJ, Merck Serono and Boehringer Ingelheim), focusing on transcriptome analysis and statistical genetics.
Clevert has a scholarly record, with over 60 research articles, scientific reviews, and book chapters to his name that have collectively garnered nearly 10,000 citations. He has contributed significantly to the scientific community through the release of open-source software packages like FARMS, cn.FARMS, RFN, and Img2Mol.

Title of a talk: Molecular representation learning for drug discovery

Abstract: TBA


Ana Conesa

Research Professor Institute for Integrative Systems Biology- Spanish National Research Council, Spain


Ana Conesa is Research Professor at the Institute for Integrative Systems Biology (CSIC) in Valencia (Spain), Courtesy Professor at the University of Florida. Since 2022 she is a member of the Spanish Royal Academy of Engineer and of the Board of Directors of the International Society for Computational Biology. 

Ana Conesa’s lab is interested in understanding functional aspects of gene expression at the genome-wide level and across different organisms. Her group has developed statistical methods and software tools that analyze the dynamics aspects transcriptomes, integrate these with other types of molecular data and annotate them functionally, with a special focus on Next Generation Sequencing (NGS) data. A strong drive in her research is helping the genomics community to bridge the gap between data and knowledge by creating bioinformatics tools that everybody can use. Some of our popular software tools are Blast2GO, PaintOmics, maSigPro, NOISeq, Qualimap, SQANTI, tappAS, etc. She has led multiple EU projects to develop methods for the analysis of the transcriptome, more recently with a focus on the utilization of long read sequencing to characterize transcriptome complexity. She is also co-founder of Biobam Bioinformatics, a start-up that provides bioinformatics tools for biologists. She has published 156 research papers that have received more than 34.000 citations and has an h-index of 57.

Title of a talk: Long reads sequencing for the analysis of the transcriptome

Abstract: TBA