Brookings, SD, USA

Conducting AI-driven research to enhance computational models for bioinformatics and genomic data analysis. Developing deep learning frameworks for pattern recognition in biological sequences, optimizing machine learning algorithms for high-throughput sequencing data, and integrating multi-omics data to derive novel biological insights. Collaborating with interdisciplinary teams to publish findings and contribute to grant proposals.

Logan, UT, USA

Led research projects focusing on deep learning and AI applications for large-scale biological data processing. Designed and implemented neural network architectures to analyze genomic and transcriptomic data, enhancing predictive models. Developed bioinformatics pipelines using Python and R for NGS analysis. Published peer-reviewed research and presented findings at international conferences.

Ludhiana, Punjab, India

Designed and optimized computational workflows for genome analysis in agricultural research. Developed custom Python and Bash scripts for preprocessing, variant calling, and transcriptomic analysis. Conducted differential gene expression analysis to identify key regulatory genes in crop improvement studies. Provided bioinformatics training to researchers and assisted in publishing results.

Ludhiana, Punjab, India

Taught undergraduate courses in bioinformatics, computational biology, and biostatistics, covering sequence alignment, molecular modeling, and systems biology. Developed course materials and guided student research projects on bioinformatics applications in drug discovery.