Gopal Krishna Ramadas Dhondalay PhD

I am a skilled and experienced results-oriented researcher with a deep understanding of biological systems and a proven ability to leverage multi-omics data for predictive and prognostic marker identification. I have a strong foundation in analyzing diverse high-throughput sequencing and omics technologies data, including genomics, transcriptomics, epigenomics, and proteomics, utilizing cutting-edge platforms and multi-modal integration approaches. Proficient in applying a wide range of analytical techniques, from data preprocessing and dimensional reduction to advanced machine learning algorithms for biological model fitting, biomarker identification, and network inference.

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I am also an accomplished bioinformatician with extensive expertise in analyzing complex biological datasets. Possessing a strong command of statistical methods, machine learning, and programming languages (R, Python, Perl, Bash), I excel in developing and implementing robust bioinformatic pipelines for data processing, integration, and interpretation, leading to meaningful biological insights. Experienced in biological model fitting, pathway analysis, and the application of machine learning techniques to translate complex biological information into actionable insights. Adept at presenting findings and collaborating effectively within multidisciplinary teams.​​