Amir Vajdi
Associate Principal Scientist
Boston, Massachusetts, United States
Summary
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Senior🎓
Top SchoolAmir Vajdi is an Associate Principal Scientist based in Boston with nine years of experience at the intersection of computational biology, machine learning, and cancer genomics. He leads biomarker discovery and multi-omics integration for IO clinical trials at Merck, translating WES, RNA, scRNA-Seq, ATAC-Seq and ctDNA data into patient stratification and ADC target hypotheses. His background blends a PhD in computer science with hands-on algorithm development—from novel regularization for protein binding prediction to scalable structural-variation pipelines—giving him a rare mix of theoretical rigor and production-ready bioinformatics. At Dana-Farber and during graduate research he developed new workflows and statistical methods for drug-resistance and biomarker studies, often bridging lab and clinical datasets. Known for mentoring teams and guiding analysis strategies, he pairs domain knowledge in clinical oncology with strong software and ML skills to move exploratory biomarkers toward translational impact. An early career in full-stack development and a GitHub focus on bioinformatics hint at both practical engineering chops and a commitment to reproducible research.
9 years of coding experience
11 years of employment as a software developer
Amirkabir University of TechnologyDoctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at UMass Boston
Persian, Turkish, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github contributions (5)
BioMLBoston/PatchDCA
Aug 2019 - Apr 2021
Contributions:35 commits, 34 pushes, 1 branch in 1 year 8 months
BioMLBoston/RRT3
Jan 2017 - Sep 2020
Contributions:6 pushes, 1 branch in 3 years 9 months
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