Carla Luciana Padilla Franzotti

Research Interest Research Interest Structural Bioinformatics, Protein Molecular Dynamics, Linear Motifs, Protein-protein Interactions, Biostatistics.

Melike Dönertaş

Serbulent Unsal

Research Interest Research Interest Machine Learning, Deep Learning, Proteomics, Immunology, Cancer Research.

Neeladri Sen

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.

Khawla Seddiki

Khawla 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.

Abhay Agarwal

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.

Yesid Cuesta Astroz

Research Interest Research Interest Pathogen genomics, Biological networks, Host-Pathogen interactions.

Aayush Grover

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).