Dr. Jai Chand Patel | Bioinformatics | Best Researcher Award

Postdoc at University of Nebraska Medical Center, United States

Dr. Jai Chand Patel is a dynamic and accomplished Postdoctoral Research Associate at the University of Nebraska Medical Center, with over a decade of research excellence in the fields of bioinformatics, cancer systems biology, and artificial intelligence. Recognized for his scholarly contributions, he has authored top-cited articles, delivered invited talks at international symposia, and mentored the next generation of computational biologists. His work stands at the intersection of data science and biomedical research, aiming to transform clinical understanding through precision health innovations. He remains committed to advancing knowledge and technology that bridges computational tools with real-world healthcare applications.

Profile

ORCID 

Scholar

Education

Dr. Patel holds a Ph.D. in Life Sciences with a specialization in Bioinformatics from DIPAS-DRDO/Bharathiar University (March 2021), where he developed computational methodologies for understanding physiological responses under extreme environments. He completed his Master’s degree in Biotechnology from Kurukshetra University in 2014, following his undergraduate studies in Biotechnology, Zoology, and Chemistry from the same institution in 2012. This strong academic foundation enabled him to specialize in computational approaches and big-data analytics in life sciences, providing him with both breadth and depth across biological domains.

Experience

Dr. Patel’s research journey spans roles such as Bioinformatics Analyst, Research Assistant, and Research Fellow across reputed institutions like CSIR-IMTECH, Amity University, and DIPAS-DRDO. Since October 2021, he has contributed significantly to the University of Nebraska Medical Center as a Postdoctoral Research Associate. His projects include developing AI-based models for breast cancer subtype classification and exploring lncRNA signatures in oncological diagnostics. His previous work involved machine learning for acclimatization indices and network-based disease modeling, showcasing a versatile research portfolio. Dr. Patel has also supervised 10 research dissertations and served as a lead mentor in bioinformatics and machine learning projects.

Research Interest

With an interdisciplinary approach, Dr. Patel’s research interests include bioinformatics, multi-omics data integration, clinical data mining, cancer systems biology, disease subtype classification, and explainable artificial intelligence. He is especially focused on using graph-based learning and unsupervised clustering to identify novel biomarkers and disease networks. His investigations delve into translational bioinformatics, ensuring that computational insights are translatable into clinical practice. This research direction places him at the forefront of personalized medicine and computational diagnostics.

Awards & Recognition

Dr. Patel’s contributions have earned him several accolades, including the DBT-JRF Category-I Fellowship (2014-2019), a prestigious Government of India research award. His 2023 publication in the American Journal of Human Biology was acknowledged as the Top-Cited Article of the Year, illustrating the academic community’s recognition of his impactful work. Furthermore, in 2025, he was honored with the Springer Nature Author Service Award for his outstanding contribution and excellence in publishing in BMC Public Health. These awards reflect both his scientific rigor and his ability to communicate research effectively.

Key Publications

Dr. Patel has published widely in high-impact international journals. Below are seven selected peer-reviewed publications:

1. GAIN-BRCA: A graph-based AI-net framework for breast cancer subtype classification using multiomics data, Bioinformatics Advances, 2025 – A pioneering approach using AI and graph learning.

2. Identification of key genes and pathways in PDAC using integrated bioinformatics analysis, Gastroenterology & Endoscopy, 2025 – Co-first author; unraveling pancreatic cancer mechanisms.

3. Cardiovascular diseases display etiological and seasonal trends in human population, American Journal of Human Biology, 2023 – Top-cited in 2023.

4. Google trend analysis of the Indian population reveals seasonal comorbid symptoms, Population Health Metrics, 2024 – Big data insights into population health.

5. Machine Learning Model for the Prediction of COVID-19 Severity, Diagnostics, 2024 – Integration of omics and clinical data.

6. iCluF: An unsupervised cluster-fusion method for patient stratification, Bioinformatics Advances, 2024 – Innovation in unsupervised learning for healthcare.

7. Impact of aircraft noise on physiological health in military personnel, Discover Medicine, 2025 – Novel physiological evaluations under noise exposure.

Conclusion

Dr. Jai Chand Patel’s scientific career exemplifies a rare blend of technical expertise, translational research, and academic leadership. His work not only contributes meaningfully to the literature of biomedical sciences but also has practical relevance in the evolving fields of precision health and clinical informatics. His innovative use of AI, especially graph-based and explainable models, sets him apart as a visionary in bioinformatics. Given his sustained contributions, peer recognition, and commitment to advancing computational biology, Dr. Patel is an ideal candidate for the Best Researcher Award. His dedication, scholarly impact, and mentorship record make him not only a promising scientist but a role model in interdisciplinary biomedical research.