Advanced training in Data Analysis for Systems Biology
Register & ApplyCourse Starts from 19 Jan, 2026 - 6 Feb, 2026 (Online) and 09 Feb, 2026 - 20 Feb, 2026 (Offline)
January 19 , 2026
Life Science Graduates
UCSD and IBDC Personnel
3 Weeks Online and 2 Weeks Offline
₹ 15,000 👈 🏨 Accommodation: Comfortable stay at RCB Hostal (twin-sharing). 🍽️ Meals: Breakfast, lunch, and dinner during training period. 🚌 Sight-seeing: Guided weekend trip around Delhi’s cultural sites.
Hybrid format offering both virtual learning and hands-on lab training.
Covers Genomics, Proteomics, Transcriptomics, and Systems-Level Modeling.
Jointly conducted by IBDC–RCB
14 November 2025
15 December 2025
19 January 2026
This 5-week programme includes Online Preparatory Training and On-Campus Data Analysis Training.
Meet the distinguished faculty for this programme.
Scientist
Dr. Kavitha Mukund is a systems biologist/scientist at UC San Diego, in the lab of Dr. Shankar Subramaniam. Her research integrates multi-omics, computational modeling, and translational science to uncover molecular mechanisms underlying disease etiology. Her work spans muscle pathologies, cancers and infectious disease immunology, with a recent focus on therapeutic resistance in cancer and tumor heterogeneity. Through several first-author publications in leading scientific journals, Dr. Mukund has advanced understanding of how molecular and cellular dynamics influence disease progression and therapeutic response. Her interdisciplinary collaborations across UC San Diego, Shirley Ryan AbilityLab, City of Hope, LSU Health, and King’s College London highlight her leadership in multi-institutional data integration and mentoring of early-career researchers. Collectively, her research bridges mechanistic biology with clinical insight, driving actionable discoveries in drug-resistant cancers and immunocompromised conditions.
PhD Student
Darya (Dasha) Veraksa is a 4th year Bioengineering PhD student at UC San Diego in the lab of Dr. Shankar Subramaniam. She is studying the biological and gene regulatory mechanisms driving cell state changes in triple negative breast cancer (TNBC) tumors, and her current project utilizes spatial transcriptomics data to characterize the spatial heterogeneity of pregnancy-associated TNBC. She completed her Bachelor's degree in Biomedical Engineering at Boston University.
Scientist, IBDC
I am currently managing the Indian Biological Images Archive (IBIA) at the Indian Biological Data Centre (IBDC), Regional Centre for Biotechnology (RCB), Faridabad, Haryana, India. My responsibilities include leading the IBIA team in the development and maintenance of the archive, biological image data curation, quality control, and visualization of image datasets to ensure adherence to FAIR data principles. My research interests lie in applying artificial intelligence (AI), machine learning (ML), and data science methodologies to solve complex problems across healthcare, agriculture, and life sciences domains. I have extensive experience in developing deep learning–based diagnostic and prognostic tools, biological databases, and web-based platforms that facilitate large-scale biological data integration, analysis, and visualization.
Scientist, IBDC
Scientist at IBDC , Driving Archival, management and analysis of Nucleotide data submitted to IBDC.
Data Curator, IBDC
Computational biologist (Bioinformatician) with research experience and strong interest in high-throughput genomics, structural bioinformatics, and applied biological data analysis. Presently working as a Data Curator at IBDC, focusing on the curation, annotation, and analysis of protein structure and nucleotide sequence data.
Data Curator, IBDC
I'm currently working as a Data Curator at the Indian Biological Data Centre (IBDC), where my work focuses on imaging datasets and supporting AI- and data-driven tools. I have over six years of experience in data science and research, working extensively with R and Python for data analysis, visualization, and machine learning.
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