Welcome to the realm of biomedical data science!


I analyze orthogonal biomedical datasets and apply statistical and machine learning algorithms for biomarker and drug discovery in cancer, diabetes, obesity etc.

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Research


Biomarker and Drug Discovery

Machine learning of genomics and clinical datasets (TCGA, RNA-seq, scRNA-seq, GWAS etc.) of millions of patients and customer datasets for biomarker and drug discovery in cancer, diabetes, obesity, Alzheimer’s etc.

Data Visualization and Web Apps

On demand web app development with biomedical datasets for interactive visualization and statistical analysis on the fly. Apps are deployed in-house or Cloud (Amazon AWS, Microsoft Azure or Google Cloud)

Biomedical Data Integration

Apply existing tools, integrate orthogonal high dimensional datasets or databases, mathematical models, AI and ML algorithms to solve complex data science problems and get actionable insights.

Bioinformatics and NGS Data Analysis

NGS Pipelines, GWAS, RNA-seq, Microarray, scRNA-seq, ChIP-seq, Variant Calling, Pathway Enrichment Analysis, Sequence Analysis, Phylogenetics, Computational Chemistry

Python and R Programming

Apply Python and R Programming to solve AI amd ML problems

Machine Learning and AI

Proficient in applying unsupervised and supervised machine learning tools to solve biomedical problems.

Publications


Bibliometrics

h-index: 22, i10-index: 27, #citations: 2100+, #papers: 40+

Web Profiles

Google Scholar

Let's Get In Touch!


Feel free to drop a note if you are interested in collaboration, partnership or consulting.

ugdastider{@}gmail[.]com