Journal of Bioinformatics

Dr. Anuradha Bhardwaj is an Academician and Researcher with over a decade of interdisciplinary experience in Bioinformatics, Genomics, and Health Informatics. She has strong expertise in advanced omics, machine learning, and digital health technologies. She is actively involved in teaching, research, and evidence synthesis, with contributions to national agencies and academic institutions. She was recently selected as an Evidence Ambassador (EBHC 2025) and for the UK–India Accelerate Programme, reflecting her commitment to evidence-based healthcare and innovation.

• Genomics
• Next-Generation Sequencing (NGS)
• Genome Editing (CRISPR & TALENs)
• Health Informatics

1. Teaching and mentoring in biotechnology, bioinformatics, and health informatics at Amity University, Noida 
2. Research and curriculum development in genomics and health technology 
3. Research in genomics, transcriptomics, and machine learning in healthcare at IIHMR, Delhi 
4. Conducted government-funded research at TIFAC (DST, Govt. of India) on climate change and health 
5. Developed ML-based tools for CRISPR and TALENs design at Gautam Buddha University 
6. Performed high-throughput data analysis including WGS, transcriptomics, and metagenomics 

1. Bhardwaj A, Nain V. TALENs—An indispensable tool in the era of CRISPR: a mini-review. Journal of Genetic Engineering and Biotechnology, 2021. 
2. Bhardwaj A, Nain V. Systems biology approach for C-Kit mediated proliferation. Indian Journal of Pure and Applied Biosciences, 2022. 
3. Adhikarla S.V. et al. TLR-mediated signal transduction and neurodegenerative disorders. Brain Sciences, 2021. 
4. Pritam P. et al. Antioxidants in Alzheimer’s Disease. Biology, 2022. 
5. Bhardwaj A, Sharma S, Singh S.K. Natural inhibitors targeting SARS-CoV-2 NSP10–NSP16. Turkish Journal of Pharmaceutical Sciences, 2022. 
6. Sharma S. et al. Critical genes associated with lead exposure. Toxicology and Industrial Health, 2023. 
7. Bhardwaj A, Tomar P, Nain V. Machine learning classification for gRNA efficacy prediction. AIP Conference Proceedings, 2023.