Deepti Varshney is a bioinformatics researcher with seven years of hands-on experience in NGS data analysis, transcriptomics, comparative and functional genomics, and evolutionary genomics. Currently a Research Assistant with the Freiburg Galaxy EU Team, she blends academic rigor from roles in Poland and India with practical pipeline development and reproducible analysis workflows. Her background spans research institutes and industry, where she contributed to projects ranging from agricultural genomics to environmental and computational biology. Deepti holds advanced training in bioinformatics and biomathematics (MTech) and continues to bridge computational methods with biological insight. Known for focusing on reproducibility and tool-driven analysis rather than just results, she helps turn complex sequencing datasets into interpretable, shareable outcomes. Based in Freiburg, Germany, she brings a global research perspective and collaborative approach to interdisciplinary genomics problems.
7 years of coding experience
7 years of employment as a software developer
Bioinformatics, Bioinformatics at Uniwersytet im. Adama Mickiewicza w Poznaniu
Bachelor's degree, Zoology/Animal Biology, Bachelor's degree, Zoology/Animal Biology at DR. BHIMRAO AMBEDKAR UNIVERSITY, AGRA
Master of Technology - MTech, Biomathematics, Bioinformatics, and Computational Biology, Master of Technology - MTech, Biomathematics, Bioinformatics, and Computational Biology at Banasthali Vidyapith
Contributions:1 PR, 24 pushes, 5 branches in 1 year 5 months
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