Summary
Mehrab Bari is a Principal Clinical Data Scientist with a decade of experience applying statistical and machine learning methods to biomarker discovery, PK/PD modeling, and translational research in oncology and precision medicine. He has led multidisciplinary teams at organizations including Incyte (via Akkodis), Bristol Myers Squibb, and Precision for Medicine to develop validated computational pipelines, diagnostic assays, and visualization tools that bridge molecular data to clinical endpoints. Trained as a PhD electrical engineer with multidisciplinary graduate degrees in biomedical and industrial engineering, he combines signal-processing and ML foundations with deep domain knowledge in bioinformatics and molecular diagnostics. Mehrab has a track record of integrating cutting-edge models (single-cell generative models) into enterprise infrastructures and publishing high-impact research, and he has built production R/Shiny platforms and internal R packages to operationalize biomarker workflows. Notably, his early work produced standalone proteomics and methylation tools and novel feature selection methods that continue to inform his pragmatic approach to translational analytics.
10 years of coding experience
9 years of employment as a software developer
University of Texas at San Antonio
Bachelor's Degree Biomedical Engineering, Bachelor's Degree Biomedical Engineering at Shahed University
Master's Degree Biomedical Engineering, Master's Degree Biomedical Engineering at Isfahan University of Medical Sciences
Master's Degree Industrial Engineering, Master's Degree Industrial Engineering at Sharif University of Technology
Persian, Turkish, Azerbaijani, English