Nikhilesh Dangi

Taught undergraduate and postgraduate students in Bioinformatics and Deep Learning, developing and delivering course content for topics such as genomics, computational biology, neural networks, and AI applications in life sciences. Supervised student research projects, guiding them through data analysis, model development, and interpretation of results.

Developed and deployed a road scene analysis project, utilizing Unet, FPN, and PSPNet models to enhance image segmentation accuracy for road and environmental applications. Designed robust machine learning pipelines to support large-scale processing, ensuring scalability and real-time data integration.

Processed and analyzed large-scale bioinformatics data for genome assembly, sequence annotation, and high-throughput sequencing. Utilized advanced bioinformatics techniques, including DNA and protein structure analysis and genome editing methods.

Conducted safety evaluations of biomedical equipment and assisted in clinical sample research, focusing on mammalian cell culture and immunological techniques. Gained hands-on experience with cell culture, gene manipulation, and functional genomics as applied in cancer biology.

Focused on advanced bioinformatics, machine learning, and deep learning applications in biological data. Gained expertise in extracting insights from complex datasets and driving innovation in genomics and healthcare.

Studied core principles of bioinformatics, including computational biology and data analysis. Gained practical experience in mammalian cell culture, gene manipulation, and immunological techniques.