Dr. Umesh Ghoshdastider

Senior Computational Biologist & Data Scientist


Ph.D. with over 10 years of experience in Bioinformatics, AI, and Data Science at leading institutions (University of Zurich, ETH Zurich, A*STAR Singapore) and industry (Boehringer Ingelheim).

Proven track record of highly cited publications (h-index 25, ~3000 citations) with a translational focus on cancer, obesity, and diabetes biomarker and drug discovery.

View My Expertise

Computational & Theoretical Expertise (Click for Details)


Biomarker & Drug Discovery

Applying machine learning to multi-omics datasets (TCGA, RNA-seq, scRNA-seq, spatial transcriptomics, GWAS) to identify biomarkers and drug targets.

NGS & Bioinformatics Pipelines

Expertise in NGS pipelines, scRNA-seq, Variant Calling, ChIP-seq, and pathway enrichment analysis.

Machine Learning & AI

Experienced in applying Deep Learning, Supervised, Unsupervised ML, Bayesian Inference, and Survival Analysis to complex biomedical questions.

Python & R Programming

Proficient in Python and R for data analysis, model development, and visualization (NumPy, SciPy, Pandas, Keras, PyTorch, JAX, Bioconductor, Tidyverse).

Web Apps & Data Visualization

Developing custom web platforms (Flask, Dash, Wordpress) for interactive visualization and on-the-fly statistical analysis of large datasets.

Cloud & DevOps

Expert in Cloud/DevOps tools (AWS, Google Cloud, Docker, Git) for managing large-scale data and deploying reproducible analysis environments.

Publications & Profiles


Bibliometrics

h-index: 25
Citations: ~3000
Papers: ~50

Get In Touch!


I am open to job and consulting opportunities. Feel free to reach out!

ugdastider@gmail.com

Zurich, Switzerland

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