Collaborations 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).
Carla Luciana Padilla Franzotti
Design Team MemberResearch Interest Research Interest Structural Bioinformatics, Protein Molecular Dynamics, Linear Motifs, Protein-protein Interactions, Biostatistics.
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.
Serbulent Unsal
Scientific Program Team MemberResearch Interest Research Interest Machine Learning, Deep Learning, Proteomics, Immunology, Cancer Research.
Yesid Cuesta Astroz
ISCBSC Webinars Co-chairResearch Interest Research Interest Pathogen genomics, Biological networks, Host-Pathogen interactions.
Selcan Aydin
Scientific Program Team MemberResearch Interest Research Interest Quantitative Genetics, Cellular Signaling, Systems Biology, Developmental Biology.
Elizabeth Alfaro Espinoza
Design / Website Content / Collaborations / Scientific Program Team MemberResearch Interest Research Interest Structural Biology, Protein-Peptide Interactions, Biophysics, Proteomics, Peptidomics.
Khawla Seddiki
Communications ChairKhawla Seddiki is a Ph.D. student in the Bioinformatics Program at Laval University, Canada, under the supervision of Dr. Arnaud Droit in the Computational Biology laboratory. His areas of interest include working on the development of machine learning and deep learning algorithms for real time clinical diagnosis using 1D, 2D, and 3D mass spectrometry data. She started in 2019 as a volunteer in the communication team of the ISCB-Student Council webinar series program.