Avijit Podder, Ph.D.

Associate Computational Scientist

My research focuses on understanding the genetic complexity of human diseases using computational graph theory and multi-omics data integration approaches to identify potential therapeutic targets.

I investigate complex biological systems to identify underlying molecular signatures by integrating omics data from multiple levels of cellular organization. My current research aims to identify molecular underpinnings of Alzheimer's disease employing diverse systems biology approaches and analyze the interaction of such underlying processes. My investigations focus on novel insights into the development and progression of certain human diseases, especially age-related disorders, that may have future implications for personalized medical intervention. To address this research goal, I employ a multidisciplinary approach that combines network biology, cross-species genetics, functional enrichment profiling, and drug signature screening. My past research determined intricate mechanisms underlying human aging, longevity, cancer biology, and other complex disorders.

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Education and experience


Doctor of Philosophy (PhD) - Computational Biology
2014 - 2019
Department of Biochemistry, University of Delhi Delhi, India

Work Experience:

Post-Doctoral Research Fellow
2019 - 2023
Translational Genomics Research Institute (TGen) Phoenix, Arizona, USA