Summary

As an Assistant Professor in Bioinformatics at the Parul Institute of Applied Sciences, Parul University, I specialize in advancing computational biology through integrative data science. With over a decade of experience in bioinformatics and machine learning for biological data interpretation, my research focuses on developing predictive models and open-source tools that enhance our understanding of inflammation and cancer informatics, while bridging bioinformatics and artificial intelligence (AI) for big data applications in biological research.

My passion lies in method development, building new models, algorithms, and software that go beyond existing toolkits. I have led interdisciplinary research projects, and contributed to high-impact publications. I bring deep technical expertise, strong leadership, and mentoring experience, having supervised multiple PhD, MSc and BSc projects and served on PhD committees.

Core Expertise

• Predictive Modeling & Biomarker Discovery

• Multi-Omics Data Integration

• Bioinformatics Pipeline & Software Development

• Gut–Microbiome Analysis
   

What sets me apart is a strong ability to communicate complex ideas clearly, align stakeholders across domains, and drive data science initiatives from conception to implementation. I continue to be inspired by impactful collaborations that bridge academia and industry.

I contribute to open-source software development 🖥️. If you are interested in my work, read my publications 📝, or check out my software contributions on GitHub.