Website Content Team
Research Interest Research Interest Ecology and Environmental Sciences, Symbiosis and Microbiomes.
Sayane 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.
Research Interest Research Interest Pathogen genomics, Biological networks, Host-Pathogen interactions.
Neeladri 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.
Abhay Agarwal is a Data Scientist and Freelance Tech evangelist working with a MNC in Jaipur. He graduated from IIT Kanpur with major Electrical Engineering. He likes to travel, read and find scalable practical solutions to problems. His association with ISCB started in july, 2020 when he was assigned to refurbish the old website.
Research Interest Research Interest Structural Biology, Protein-Peptide Interactions, Biophysics, Proteomics, Peptidomics.
Aayush 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).