Selcan Aydin

Selcan Aydin

Scientific Program Team Member

Research Interest Research Interest Quantitative Genetics, Cellular Signaling, Systems Biology, Developmental Biology.

Neeladri Sen

Neeladri Sen

Communications / Collaborations / Scientific Program Team Member

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.

Joske Ubels

Joske Ubels

Scientific Program Chair / Broadcast Team Member

Research Interest Research Interest Cancer, genetics, machine learning, prediction of treatment effects.

Catalina Valdivia

Catalina Valdivia

Broadcast Chair

Research Interest Research Interest Ecology and Environmental Sciences, Symbiosis and Microbiomes.

Fatma Betul Dincaslan

Fatma Betul Dincaslan

Design Chair

Fatma Betul Dincaslan is a PhD student at NUS Biomedical Engineering. Her main research interest is single cell assay development. She received BSc and MSc degrees from Bilkent University. Her thesis was on Tissue Specific Transcriptome of Zebrafish in Ache Mutant Embryos. She has been actively volunteering in RSG Turkey team. Then, she joined the ISCB-SC Webinars Team as well, leading the design team.

Khawla Seddiki

Khawla Seddiki

Communications Chair

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.

Aayush Grover

Aayush Grover

Broadcast / Collaborations / Scientific Program Team Member

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).

Yesid Cuesta Astroz

Yesid Cuesta Astroz

ISCBSC Webinars Co-chair

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