Assist Prof Dr. Neelam Sharma - Computational Biology - Best Researcher Award 

B V Raju Institute of Technology - India

Author Profile

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Early Academic Pursuits

Assist Prof Dr. Neelam Sharma embarked on her academic journey in Biotechnology at Dr. Bhim Rao Ambedkar University, where she pursued her Bachelor of Science from 2010 to 2013. Her undergraduate thesis focused on optimizing the expression of a soluble recombinant His-tagged protein in BL21 cells, an essential study in the field of recombinant DNA technology. Her drive for deeper knowledge led her to obtain a Master of Science (Honors) in Biotechnology from GLA University, where she investigated the epidemiology of vaginal candidiasis, culminating her studies in 2015 with an impressive CGPA of 9.34.

Professional Endeavors

Following her master’s degree, Assist Prof Dr. Sharma began her professional career as a Research Intern at Aligarh Muslim University, gaining valuable laboratory experience. Her academic career advanced rapidly as she became an Assistant Professor at Gagan College of Management & Technology in 2016, where she taught and conducted laboratory work in immunology, microbiology, and molecular biology. Dr. Sharma later pursued her Ph.D. in Computational Biology at Indraprastha Institute of Information Technology, Delhi, producing significant research on designing therapeutic molecules against virulent factors of pathogens, which she completed in 2022.

Contributions and Research Focus

Assist Prof Dr. Sharma’s research has been pivotal in the intersection of computational biology and biotechnological applications, particularly in protein/peptide therapeutics, genomics, and immuno-informatics. Her postdoctoral work at the University of California, San Francisco, involved analyzing HLA typing data from different sequencing platforms and exploring biomarkers for transplantation. This work led to significant insights into organ and bone marrow transplantation therapies.

Assist Prof Dr. Sharma developed several machine learning tools during her tenure as an Academic Researcher at IIIT-Delhi, which helped in predicting and identifying proteins and peptides involved in various diseases. These tools have been critical for the scientific community, aiding in disease management and vaccine development.

Accolades and Recognition

Assist Prof Dr. Sharma’s scholarly contributions are well-recognized in the scientific community, evidenced by her prolific output of peer-reviewed journal articles. She has published extensively, with articles in high-impact journals such as Briefings in Bioinformatics and Computers in Biology and Medicine, contributing significantly to the fields of computational proteomics and bioinformatics.

Impact and Influence

Assist Prof Dr. Sharma's work has significantly advanced the understanding of computational tools in the design of therapeutic molecules and vaccine candidates. Her development of bio-resources and webservers has provided essential tools for researchers worldwide, facilitating better disease management and therapeutic interventions. Her research in identifying virulent proteins and their role in disease mechanisms has opened new avenues for targeted therapy approaches.

Legacy and Future Contributions

As an assistant professor and an active researcher, Assist Prof Dr. Sharma is not only contributing to the body of knowledge but is also profoundly impacting the next generation of scientists through her teachings and supervision of research projects. Her role in educating and mentoring students in big data mining and machine learning for biomedical applications is preparing a skilled workforce capable of continuing the advancement of computational biology.

Assist Prof Dr. Sharma’s future in computational biology and biotechnology looks promising. She continues to expand her research into new areas such as cheminformatics and machine learning applications, aiming to develop novel computational methods that can lead to breakthroughs in drug repurposing and the therapeutic peptides domain. Her ongoing research and potential discoveries continue to contribute to her legacy in the scientific community, marking her as a leader in integrating computational tools with biological research for medical advancements.

Citations

A total of  783 citations for his publications, demonstrating the impact and recognition of her research within the academic community.