PRIYANKA KATARIA

A motivated researcher with expertise in Data Science, Machine Learning, Artificial Intelligence, and Computational Biology. Experienced in molecular dynamics simulations, protein aggregation analysis, and biomolecular data analytics. Demonstrates interdisciplinary research integrating deep learning, bioinformatics, and structural biology. Possesses both academic research and industry data science experience, making a strong candidate for teaching and research positions in higher education.

• Deep Reinforcement Learning Approach for Identifying the Aggregation-Prone Ensemble of Proteins, Poster Presentation, Amity Institute of Integrative Sciences and Health, Amity University Haryana
• International Conference on Biotechnology for Sustainable Development Goals (ICBSDG-2025), Sharda University, Greater Noida, 04/24/25 - 04/25/25
• International Conference on Antimicrobial Resistance, Novel Drug Discovery and Vaccine Development – Vision 2030, SGT University in collaboration with University of Southampton and IIT Delhi, 03/10/25 - 03/11/25

• PHP Programming Certification, Grade A, DUCAT Institute, Sector 14, Gurgaon
• Data Science using Python, Amity University Haryana
• Data Analytics using R, Amity University Haryana
• Management Development Programme: Data Science for Managers, Amity Business School, Amity University Haryana
• NVIDIA Deep Learning Institute Certifications, Fundamentals of Deep Learning, Building Transformer-Based Natural Language Processing Applications, Applications of Artificial Intelligence for Predictive Maintenance, Fundamentals of Accelerated Computing using CUDA C/C++, Fundamentals of Accelerated Computing using CUDA Python

• Database Management Systems (DBMS)
• Data Science
• Machine Learning
• Artificial Intelligence
• Python Programming
• Data Structures
• Bioinformatics

• Protein folding and aggregation mechanisms
• Molecular dynamics simulations
• Artificial intelligence in biomedical research
• Machine learning in bioinformatics
• AI applications in medical imaging

• Kataria, P., Chaudhary, V., Mishra, C. B., Kumar, V., Sharma, R. D., Prakash, A., Heterogeneous Folding Intermediates Govern the Conformational Pathway of the RNA Recognition Motif Domain of the Ewing Sarcoma Protein., Biomolecules, 2025, 16, 1, 33, https://doi.org/10.3390/biom16010033
• Aiman, A., Ahmad, F., Kataria, P., Prakash, A., Hassan, M. I., Islam, A., Stability and Conformational Dynamics of Interferon: Structural Insights into Guanidinium Chloride and Urea Induced Unfolding., https://doi.org/10.1021/acsomega.5c10076

• Kataria, P., Chaturvedi, A., Yadav, S., Prakash, A., Sharma, R. D., Artificial Intelligence Integration in Medical Imaging Data., https://doi.org/10.1016/bs.pmbts.2026.01.019, Elsevier, 2026
• Kataria, P., Prakash, A., Artificial Intelligence Based Identification of Conformational Ensembles Underlying Protein Unfolding Pathways for Targeting Neurodegenerative Diseases.

• A motivated researcher with expertise in Data Science, Machine Learning, Artificial Intelligence, and Computational Biology. Experienced in molecular dynamics simulations, protein aggregation analysis, and biomolecular data analytics. Demonstrates interdisciplinary research integrating deep learning, bioinformatics, and structural biology. Possesses both academic research and industry data science experience, making a strong candidate for teaching and research positions in higher education.
• Senior Research Fellow (SRF), The Indian Council of Medical Research, ICMR-ISRM/12(67)/2022, 03/01/24, 01/31/26, Identification of Early Diagnostic Biomarkers for GBM Using Differential Alternative Splicing and Deep Learning, Conduct computational analysis of biological datasets to identify diagnostic biomarkers., Apply machine learning and deep learning techniques for biomarker discovery., Perform molecular dynamics simulations to investigate protein folding and aggregation mechanisms., Analyze structural properties including RMSD, RMSF, radius of gyration, SASA, and free energy landscapes., Integrate artificial intelligence approaches with bioinformatics pipelines for predictive biological modeling.
• Data Scientist, ICVS E SOLUTION Pvt. Ltd, Gurgaon, Gurgaon, Haryana, 06/01/17, 05/31/22, Developed predictive models and performed statistical analysis on healthcare datasets., Applied machine learning algorithms to generate insights from large-scale clinical data., Built analytical pipelines for data processing, visualization, and reporting., Utilized Python and advanced data analytics methods to support business and research decision-making.