Core team
Joske Ubels
Scientific Program Chair / Broadcast Team MemberResearch Interest Research Interest Cancer, genetics, machine learning, prediction of treatment effects.
Elizabeth Alfaro Espinoza
Design / Website Content / Collaborations / Scientific Program Team MemberResearch Interest Research Interest Structural Biology, Protein-Peptide Interactions, Biophysics, Proteomics, Peptidomics.
Sayane Shome
ISCBSC Webinars Co-chairSayane Shome is a Ph.D. student in the Bioinformatics and Computational Biology Program at Iowa State University, USA under the guidance of Dr. Robert L. Jernigan. Her area of research interest lies in computational biophysics, genomics, and machine learning. Her association with ISCB-SC started in 2010 as a volunteer when she joined the core team of Regional Student Group-India. Later, she has served as a President for RSG-India for the term 2012-14 and has also been simultaneously involved in volunteering for Student Council-related activities since then including starting up the ISCB-Student Council webinar series program.
Yesid Cuesta Astroz
ISCBSC Webinars Co-chairResearch Interest Research Interest Pathogen genomics, Biological networks, Host-Pathogen interactions.
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.
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).
Selcan Aydin
Scientific Program Team MemberResearch Interest Research Interest Quantitative Genetics, Cellular Signaling, Systems Biology, Developmental Biology.
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.