Saman Farahmand
Research Scientist at Takeda
Boston, Massachusetts, United States
Summary
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Top SchoolSaman Farahmand is a Research Scientist in Boston with eight years of experience applying computational methods to oncology and omics data, combining a six-year academic track record with four years in industry analytics. He develops novel bioinformatics algorithms and tools—ranging from an R-based causal inference engine and Cytoscape apps to deep-learning pipelines for H&E image analysis and spatial transcriptomics—to translate high-throughput data into actionable biological insight. At Takeda and in collaborative academic projects he has bridged systems pharmacology, single-cell and spatial transcriptomics, and text-mining of biomedical literature, producing community-facing software and reproducible pipelines. Comfortable leading multidisciplinary projects, he pairs rigorous method development with practical deployment experience and a knack for extracting regulatory mechanisms without relying solely on molecular assays.
7 years of coding experience
7 years of employment as a software developer
Master's degree, Health Information Technology, Master's degree, Health Information Technology at University of TehranDoctor of Philosophy - PhD, Computational Science, Doctor of Philosophy - PhD, Computational Science at University of Massachusetts Boston
English, Persian
Github Skills (10)
mining6
interaction6
transcription6
text-mining6
factor6
doi4
bioinformatics3
toolbox2
bayesian1
logic1
Programming languages (2)
Github contributions (5)
samanfrm/ModEx
Jun 2019 - Oct 2019
A text mining system for extracting mode of regulation of Transcription Factor-gene regulatory interaction
Contributions:11 commits, 16 pushes, 1 branch in 4 months
interactionminingregulatorytranscriptionfactor
samanfrm/HER2_prediction
Sep 2021 - Jul 2022
Contributions:9 pushes, 1 branch, 1 comment in 9 months
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