Dr. Anuradha Bhardwaj is an academician and researcher specializing in bioinformatics, genomics, and health informatics with over a decade of interdisciplinary research and teaching experience. Her work integrates advanced omics technologies, machine learning, and digital health solutions to address challenges in genomics, public health, and biomedical research.
She currently serves as Assistant Professor at Amity University, Noida, where she teaches bioinformatics and health informatics and contributes to research initiatives in genomics and health technology. Previously, she worked with institutions including IIHMR Delhi, the Technology Information Forecasting and Assessment Council (TIFAC) under the Department of Science and Technology (Government of India), the Center for Public Health Kinetics, and Gautam Buddha University.
Her research experience includes next-generation sequencing analysis, metagenomics, transcriptomics, CRISPR-based genome editing tools, and machine learning applications in healthcare. She has also contributed to government research projects, technology scouting activities, and scientific publications.
Dr. Bhardwaj has been recognized for her academic contributions and leadership potential, including selection as an Evidence Ambassador for Evidence-Based Healthcare (EBHC 2025) and participation in the UK–India Accelerate Programme.
Subject Matter Expertise
STEM
Biology/Life Sciences
Molecular Biology
Gene Expression Analysis
STEM
Biology/Life Sciences
Molecular Biology
Genome Sequencing
STEM
Biology/Life Sciences
Molecular Biology
Gene Editing / CRISPR
STEM
Biology/Life Sciences
Omics
Genomics
STEM
Data Science
Data Analysis
Machine Learning
STEM
Data Science
Data Analysis
Artificial Intelligence
Healthcare & Medicine
Health Informatics
Services Offered
Research
Scientific and Technical Research
Research
Technology Scouting
Research
Secondary Data Collection
Data & AI
Data Processing
Data & AI
Algorithm Design – ML (Machine Learning)
Dr. Bhardwaj has extensive experience in academic teaching, interdisciplinary biomedical research, and computational biology. Her work spans bioinformatics analysis, genomics research, machine learning applications in healthcare, and public health data analysis. She has also contributed to government research initiatives and technology assessment projects.
Work Experience
Institution Name: Amity University, Noida
Job Title: Assistant Professor – II
Description: Teaching bioinformatics and health informatics courses, mentoring students, and contributing to research initiatives in genomics and health technology.
Duration: July 2025 – Present
Institution Name: IIHMR, Delhi
Job Title: Assistant Professor
Description: Teaching and mentoring students in health informatics and healthcare technology while conducting research in genomics, transcriptomics, and machine learning applications in healthcare.
Duration: February 2024 – June 2025
Institution Name: TIFAC, Department of Science and Technology, Government of India
Job Title: Senior Project Associate
Description: Conducted secondary research on climate change and health, performed technology scouting and data analysis, and contributed to Technical Need Assessment reports and government documentation.
Duration: July 2023 – February 2024
Institution Name: Center for Public Health Kinetics
Job Title: Junior Scientist
Description: Managed datasets, performed bioinformatics analysis, designed research proposals, and collaborated on research publications and field projects.
Duration: January 2023 – June 2023
Institution Name: Gautam Buddha University, School of Biotechnology
Job Title: Senior Research Fellow
Description: Developed machine-learning-based tools for CRISPR and TALENs design and conducted high-throughput genomics and metagenomics analysis.
Duration: August 2018 – August 2021
Institution Name: Central University of Rajasthan, School of Biotechnology
Job Title: Junior Research Fellow
Description: Conducted research on natural products and their anticancer properties and performed statistical and computational analysis.
Duration: July 2017 – December 2017
Institution Name: Jaipur National University, School of Biotechnology
Job Title: Assistant Professor
Description: Taught biotechnology and bioinformatics courses and supervised student research projects.
Duration: July 2016 – July 2017
Institution Name: NxGenBio
Job Title: Trainee Bioinformatician
Description: Conducted NGS data analysis including whole genome sequencing, exome sequencing, and metagenomic analysis and developed computational pipelines.
Duration: October 2015 – July 2016
Institution Name: Institute of Nuclear Medicine and Allied Sciences (INMAS), DRDO
Job Title: Trainee Bioinformatician
Description: Developed microarray data analysis tools and conducted statistical and algorithmic analysis of biological data.
Duration: June 2014 – October 2015
Dr. Bhardwaj has a multidisciplinary academic background combining biotechnology, bioinformatics, data science, and statistical analysis. Her education supports research in genomics, computational biology, and biomedical data analysis.
Education
Institution Name: Gautam Buddha University
Degree Title: Ph.D.
Field/Description: Biotechnology
Institution Name: IIIT Delhi
Degree Title: PG Diploma
Field/Description: Data Science
Institution Name: Banasthali University
Degree Title: M.Tech
Field/Description: Bioinformatics
Institution Name: Banasthali University
Degree Title: PG Diploma
Field/Description: Bioinformatics
Institution Name: Banasthali University
Degree Title: Certificate Course
Field/Description: Statistical Techniques and Applications
Institution Name: University of Delhi
Degree Title: B.A.Sc (Hons)
Field/Description: Instrumentation
Dr. Bhardwaj has received academic and research recognitions including selection as Evidence Ambassador for Evidence-Based Healthcare (EBHC 2025) and participation in the UK–India Accelerate Programme.
Certifications
Title: Evidence Ambassador (EBHC 2025)
Issued By: Evidence-Based Healthcare Programme
Title: UK–India Accelerate Programme
Issued By: Technology Security Initiative, with support from both governments
Dr. Bhardwaj has contributed extensively to research in bioinformatics, genome editing technologies, neurodegenerative diseases, and computational biology. The publications span topics such as CRISPR/Cas9 and TALEN genome editing tools, machine learning applications in bioinformatics, molecular docking for drug discovery, and biomarker identification using microarray data. Several studies focus on neurodegenerative disorders including Alzheimer’s and Parkinson’s disease, highlighting molecular pathways, oxidative stress, and potential therapeutic targets. The work also includes AI-driven predictive modeling for gene editing efficiency and off-target effects, as well as systems biology approaches for gene regulatory network analysis. Collectively, these publications demonstrate strong expertise in integrating computational methods, artificial intelligence, and biological data analysis to advance biomedical research and drug discovery.
Publications
Title: TALENs—an Indispensable Tool in the Era of CRISPR: A Mini Review
Authors: A. Bhardwaj, V. Nain
Journal: Journal of Genetic Engineering and Biotechnology, 19(1), 125
Citations: 187
Year: 2021
Title: Antioxidants in Alzheimer’s Disease: Current Therapeutic Significance and Future Prospects
Authors: P. Pritam, R. Deka, A. Bhardwaj, R. Srivastava, D. Kumar, A.K. Jha, N.K. Jha, et al.
Journal: Biology, 11(2), 212
Citations: 185
Year: 2022
Title: TLR-Mediated Signal Transduction and Neurodegenerative Disorders
Authors: S.V. Adhikarla, N.K. Jha, V.K. Goswami, A. Sharma, A. Bhardwaj, A. Dey, et al.
Journal: Brain Sciences, 11(11), 1373
Citations: 56
Year: 2021
Title: Molecular Docking Studies to Identify Promising Natural Inhibitors Targeting SARS-CoV-2 nsp10-nsp16 Protein Complex
Authors: A. Bhardwaj, S. Sharma, S.K. Singh
Journal: Turkish Journal of Pharmaceutical Sciences, 19(1), 93
Citations: 16
Year: 2022
Title: Machine Learning-Driven Prediction of CRISPR-Cas9 Off-Target Effects and Mechanistic Insights
Authors: A. Bhardwaj, P. Tomar, V. Nain
Journal: The EuroBiotech Journal, 8(4), 213–229
Citations: 8
Year: 2024
Title: A Bioinformatics Perspective on Artificial Intelligence in Healthcare and Diagnosis: Applications, Implications, and Limitations
Authors: A. Bhardwaj, A. Solanki, V. Nain
Book: Advanced AI Techniques and Applications in Bioinformatics
Pages: 227–242
Citations: 2
Year: 2021
Title: Identification and Evaluation of Machine Learning Classification Algorithm to Predict the Efficacy of gRNA in CRISPR/Cas9 Genome Editing System Using WEKA
Authors: A. Bhardwaj, P. Tomar, V. Nain
Conference: AIP Conference Proceedings, 2938(1), 040008
Citations: 1
Year: 2023
Title: Inferring Microarray Datasets Reveals Critical Biomarkers and Potential Drug Targets of Parkinson’s Disease
Authors: A. Bhardwaj, A.A. Obaid, A.A. Khan, M.P. Singh, M.M. Jalal, et al.
Journal: Neurology Asia, 29(4)
Year: 2024
Title: Identification of Critical Genes Associated with Lead Exposure Based on In Silico Analysis
Authors: S. Sharma, V.L. Kumar, A. Bhardwaj
Journal: Toxicology and Industrial Health, 39(7), 356–363
Year: 2023
Title: A System Biology Approach to Construct a Gene Regulatory Network for C-Kit Mediated Proliferation in Hematopoietic Stem Cells
Authors: A. Bhardwaj, V. Nain
Journal: Indian Journal of Pure and Applied Biosciences, 10(2), 29–37
Year: 2022
Title: A Bioinformatics Study on Artificial Intelligence Applications in Biological Data Analysis
Authors: A. Bhardwaj, A. Solanki, V. Nain
Book: Advanced AI Techniques and Applications in Bioinformatics
Year: 2021
Title: A Bioinformatics Approach to Construct Regulatory Networks Using Microarray Data
Author: A. Bhardwaj
Journal: INROADS – An International Journal of Jaipur National University, 5(1&2), 18–20
Year: 2016