Broadcast Team
Aayush Grover
Broadcast / Collaborations / Scientific Program Team MemberAayush is in the final year of his masters in Data Science from the International Institute of Information Technology Bangalore (IIIT-B), India. His interests broadly lie in the intersection of Artificial Intelligence and Molecular Biology. His master thesis focuses on using few-shot learning and multi-omics integration to accurately predict survival in cancer patients. His thesis is co-supervised by Prof. G. Srinivasaraghavan of IIIT-B and Prof. Laurent Gatto of UCLouvain (Belgium).
Serbulent Unsal
Scientific Program Team MemberResearch Interest Research Interest Machine Learning, Deep Learning, Proteomics, Immunology, Cancer Research.
Carla Luciana Padilla Franzotti
Design Team MemberResearch Interest Research Interest Structural Bioinformatics, Protein Molecular Dynamics, Linear Motifs, Protein-protein Interactions, Biostatistics.
Nishat Tamanna
Scientific Program / Website Content Team MemberResearch Interest Research Interest Bioinformatics, Molecular Biology.
Yesid Cuesta Astroz
ISCBSC Webinars Co-chairResearch Interest Research Interest Pathogen genomics, Biological networks, Host-Pathogen interactions.
Thiliban Manivarma
Communications / Scientific Program Team MemberResearch Interest Master Thesis Research Interest Computer Aided Drug Design, Molecular Dynamics Simulation, Structural Bioinformatics, Virology. Master Thesis Computational studies of regulatory mechanism and inhibition of ferroptotic cell death signal.
Neeladri Sen
Communications / Collaborations / Scientific Program Team MemberNeeladri Sen is a post-doc in the CATH lab in University College London (UCL) working with Prof. Christine Orengo working on functional site predictions in proteins. He received his PhD from Indian Institute of Science Education and Research (IISER) Pune working in the field of computational structural biology with the major focus on protein-protein and protein-small molecule interfaces. He is generally interested in computational structural biology – machine learning, protein structure modeling, molecular dynamics, docking. He joined the ISCB-SC Webinars in 2020, and is involved with the Communications, Collaborations and Scientific Program teams.
Joske Ubels
Scientific Program Chair / Broadcast Team MemberResearch Interest Research Interest Cancer, genetics, machine learning, prediction of treatment effects.