As data forms the basis of knowledge today, a global race is underway for data acquisition and analytics. Bioinformatics is emerging as a strategic area of knowledge discovery, leveraging advancements in machine learning and artificial intelligence. As a data- and analytics-driven department, we aspire to become a Centre of Excellence in bioinformatics research and education by generating knowledge through data-driven research initiatives and imparting quality education and training to produce competent, skilled personnel in bioinformatics. Some key research areas in the department include computational genomics, computational drug discovery, computational systems and network biology, and biostatistics and data analytics (focusing on statistical modelling, experimental design, and quantitative analysis of biological, biomedical, and health-related data). The department also explores interdisciplinary areas, including biomedical and health data analytics, ecological data analysis, and the applications of machine learning and artificial intelligence. It actively engages in collaborative research and training initiatives with academia and industry. The department also offers an active, research-intensive MSc Bioinformatics program.
My research interests are in bioinformatics, computational biology, and data analytics.
Dr. Gollapalli Pavan, an accomplished academic and researcher, currently serves as an Assistant Professor Grade-II at the Center for Bioinformatics, Nitte (Deemed to be University). With over 8 years of teaching and 7 years of post-PhD research experience, I have developed a deep expertise in the fields of integrative genomics, computational systems medicine, and computational drug design. Dr. Pavan academic foundation is rooted in excellence, evidenced by my PhD in Bioinformatics from Kuvempu University. During his master's degree in Bioinformatics, he was awarded a Dr. B.R. Abdul Rehman gold medal for securing the first rank. His doctoral research was supported by the prestigious INSPIRE fellowship from the Department of Science and Technology (DST). More recently, he received the Teachers Associateship for Research Excellence (TARE) from SERB, Government of India. His current research is focused on three broad computational challenges of biological network analysis: (1) Recognizing missing edges in a network and extracting key topological modules and pathways hidden inside networks to forecast protein function and disease-causing genes; (2) Pan-genomic based network biology approaches for enhanced prediction of antimicrobial resistance patterns of critical priority pathogens; (3) Understanding the evolutionary and developmental histories of molecular interactions between the gastrointestinal cells and host.
My research began with my M.Sc. and Ph.D., studying host immune responses and virulence factors in Vibrio vulnificus infections. Over time, my focus has expanded to analysis of clinical and biomedical data, including predictive modelling of patient outcomes, immune response evaluations, epidemiological studies, and microbial gene expression analyses. I have contributed to study design, data collection, and statistical analysis, applying appropriate methods to draw meaningful insights. My work has supported multiple collaborative research projects and publications, emphasizing the integration of experimental and clinical data for understanding disease mechanisms.