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Data integration and analysis (Artificial Intelligence)

Data integration and analysis (Artificial Intelligence)

08/11/2023 12:30

Speakers: Gastone Castellani, Tiziana Sanavia, Patricia Alonso, Jacqueline Dubow

Target: Patients, Health professionals, Patients organizations
Subnetworks: Lymphoid malignancies, Myeloid malignancies, Red blood cell defects
Disease Groups: Transversal


Gastone Castellani is laureated in Biology and Physics and has a PhD in Physics. He is full Professor at the Bologna University in Applied Physics-Biophysics and is the Director of the Galvani center for Bioinformatics, Biophysics and Biocomplextity. He holds, from the 2000, the position of Associate Professor (Research) at Brown University, Providence RI USA where is doing research within the group of Prof Leon N Cooper on machine learning, neural networks and big data analytics of gene expression. He  is coauthor of more than 300 publications on international peer-reviewed journal, and, in total more than 400 printed contributions (10000 citations and H index 50). He  has been awarded two International prizes: (Chaos and Complexity prize Blois France 1993, Vice President award Brown University 2003) for innovative research in the field of complex biological systems. He is referee for several journals such as PNAS, Molecular Bio-system, Physical Review and Bioinformatics. He is one of the founder the Italian Society for Systems Biology (SysBioHealth). Recently The current  research topics are on Machine Learning Big Data and Artificial Intelligence applied to BioMedical data. Statistical Interpretation of AI methods and modeling of biological systems.

Tiziana Sanavia is assistant professor at the department of Medical Sciences in the University of Torino (Italy) since 2020. She got a Bachelor's degree in information technologies engineering in 2006, a Master's degree (Hons) in Bioengineering in 2008 and the PhD degree in Bioengineering in 2012 from the University of Padova (Italy). From 2012 to 2016 she was a post-doctoral fellow at the Department of Information Engineering at the University of Padova and her research activity was focused on the integration of biological information in the analysis of high-throughput microarray and sequencing data through machine learning techniques and to increase the stability in the identification of biomarker lists. From 2012 to 2013 she was visiting scholar at the computational biology and informatics laboratory (prof. Christian J. Stoeckert's Lab), Perelman School of Medicine at the University of Pennsylvania (Philadelphia, USA), acquiring new expertise in sequencing data analysis (RNA-seq for gene expression, bisulfite sequencing and Chip-seq for epigenomic data) and focusing on studies of cellular development and differentiation of pancreatic cells. In 2014 she won a 2-year funding for a senior postdoctoral fellowship from the University of Padova with the research project "Integrative epigenomic and genomic computational methods for high-throughput sequencing data". From 2016 to 2019 she was Senior Research Fellow at Harvard Medical School (prof. Peter J Park's Lab, Boston USA), focusing on DNA variant analysis (SNV, copy number, structural variants) from whole-genome/exome sequencing datasets in cancer and neurological diseases. Currently, she is working on multi-omics bioinformatics analysis and biomedical applications using deep learning techniques. She is the author/coauthor of 36 full papers in international peer-reviewed journals and more than 40 scientific communications at international and national conferences.

Patricia Alonso de Apellániz is Assistant Professor at the Universidad Politécnica de Madrid (UPM), Spain, since 2022. She received her Bachelor's Degree in telecommunication engineering from the Universidad Autónoma de Madrid, Spain, in 2018 and the Master´s Degree in telecommunication engineering from the UPM where she is currently pursuing the Ph.D Degree in deep learning algorithms for medical applications. From 2019 to 2020 she was a researcher in Grupo de Aplicación de Telecomunicaciones Visuales (GATV), UPM, where she focused on generative models for face to face translation using audio-visual representations. She is currently a researcher with Grupo de Aplicaciones de Procesado de Señal (GAPS), UPM, since 2020. Her research interests go from audio and image signal processing to different deep learning applications.

Jacqueline Dubow before joining CCM, had a 40-year career in international development, including 27 years at the World Bank in Washington. She has advised governments and companies on operational and strategic issues in the health, education, new technologies and transport sectors. Since 2018, she has been Vice President of CCM and is a member of the MDS Alliance Steering Committee.

CCM, founded in 2006, is the only association in France for patients with myelodysplasias. The association has over 500 members throughout France. Its objective is to inform and empower patients. CCM also collaborates with the Groupe Francophone des Myélodysplasies (GFM), and participates in research and studies on myelodysplasias.