Website Content Team, ISCBSC Webinars

Website Content Team

Abhay Agarwal

Web Developer

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.

Nishat Tamanna

Scientific Program / Website Content Team Member

Research Interest Research Interest Bioinformatics, Molecular Biology.

Joske Ubels

Scientific Program Chair / Broadcast Team Member

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

Yesid Cuesta Astroz

ISCBSC Webinars Co-chair

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

Selcan Aydin

Scientific Program Team Member

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

Sayane Shome

ISCBSC Webinars Co-chair

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.

Elizabeth Alfaro Espinoza

Design / Website Content / Collaborations / Scientific Program Team Member

Research Interest Research Interest Structural Biology, Protein-Peptide Interactions, Biophysics, Proteomics, Peptidomics.

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).