Website Content Team

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).

Nishat Tamanna

Nishat Tamanna

Scientific Program / Website Content Team Member

Research Interest Research Interest Bioinformatics, Molecular Biology.

Abhay Agarwal

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.

Marek Prachar

Marek Prachar

Scientific Program Team Member

Research Interest Research Interest Immunoinformatics, Structural Biology.

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.

Yesid Cuesta Astroz

Yesid Cuesta Astroz

ISCBSC Webinars Co-chair

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

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.