Ayushi Shukla
Role: Biotechnologist & Science Communicator
Educational Credentials: M.Sc. in Biotechnology, TERI School of Advanced Studies; advanced training in Somatic NGS and Precision Oncology, Tata Memorial Centre; certification in Good Clinical Practice, NIDA Clinical Trials Network
Subject Expertise: Biotechnology, Genomic Data Science, Environmental Biotechnology, Precision Oncology, and Bioinformatics.
Short Bio
Ayushi Shukla is a biotechnologist and science communicator who specializes in translating genomic complexity into public health clarity. She holds an M.Sc. in Biotechnology from the TERI School of Advanced Studies, where her research at The Energy and Resources Institute (TERI), New Delhi, focused on Environmental Biotechnology and Bioremediation. Previously a Core Member and R&D Lead at the HealthTech venture Eat Wisely Bro, she has also completed advanced training in Somatic NGS and Precision Oncology at the Tata Memorial Centre and holds a professional certification in Good Clinical Practice from the NIDA Clinical Trials Network. Her work bridges raw genomic data and student-friendly narratives, combining wet-lab expertise with dry-lab bioinformatics pipelines for RNA-Seq analysis, phylogenetic modeling, and Mycobacterium tuberculosis genomic surveillance.
Extended Bio
Ayushi Shukla is a biotechnologist and science communicator, where she translates the complexity of modern genomics into stories that students, clinicians, and citizen scientists can understand and act upon.She holds an M.Sc. in Biotechnology from the TERI School of Advanced Studies. During her time as a Research Scholar at The Energy and Resources Institute (TERI) in New Delhi, she specialized in Environmental Biotechnology and Bioremediation, developing a plant growth-promoting bacterial consortium engineered for high-salinity agricultural conditions. That work demanded rigorous management of daily laboratory procedures and end-to-end molecular workflows, grounding her in the discipline of reproducible experimental science.Ayushi’s career trajectory has deliberately crossed boundaries between academia, venture-backed HealthTech, and clinical research. She previously served as a Core Member and R&D Lead at Eat Wisely Bro, where she spearheaded research initiatives and translated emerging medical data into actionable product strategy. Her clinical foundation was further shaped by advanced training in Somatic NGS and Precision Oncology at the Cancer Research Centre, Tata Memorial Centre, and by a professional certification in Good Clinical Practice (GLP) from the NIDA Clinical Trials Network. Together, these experiences give her a vantage point that spans the lab bench, the bioinformatics server, and the hospital ward.Her technical portfolio on GitHub captures this hybrid identity. It features end-to-end bioinformatics pipelines for RNA-Seq analysis and phylogenetic modeling, alongside a functional prototype for Mycobacterium tuberculosis Genomic Surveillance & Dashboard — a project that embodies her conviction that genomic data should serve public health in real time, not merely accumulate in static databases.Whether she is writing about CRISPR advances, antibiotic resistance patterns, or the microbial allies hidden in saline soils, Ayushi bridges the gap between raw genomic data and student-friendly narratives to help the next generation of scientists understand the transformative power of modern biology.Her primary beats include:
- Genomic Data Science & Public Health: Translating complex genomic datasets into actionable health insights, genomic surveillance systems, and the data architectures that connect sequence information to clinical decision-making.
- Environmental Biotechnology & Bioremediation: Microbial consortia for stress agriculture, plant-microbe interactions, and the application of molecular techniques to environmental sustainability challenges.
- Precision Oncology & Clinical Genomics: Somatic NGS workflows, cancer genomics, Good Clinical Practice standards, and the interface between research data and therapeutic innovation.
- Bioinformatics & Dry-Lab Pipelines: RNA-Seq analysis, phylogenetic modeling, computational biology tool development, and open-source reproducibility in life-sciences research.