Nikolay Samusik
Chief Executive Officer at Akoya Biosciences
Ashland, Oregon, United States
Summary
👤
Senior🎓
Top SchoolNikolay Samusik is a computational biologist and entrepreneur with a decade of experience building algorithms and platforms for high-dimensional single-cell analysis, including widely used tools such as CODEX, X-shift/VorteX, and HyperFinder. As founder of Akoya Biosciences and CEO of Parhelia Biosciences, he has translated academic methods from Stanford and MPI into commercial technologies that impact both research and clinical applications. His background spans postdoctoral algorithm development in Garry Nolan’s lab, industry roles at BD and Genentech, and strong expertise in multidimensional statistics, machine learning, and hi‑D imaging. Based in Ashland, Oregon, he combines deep technical authorship with operational leadership, and is notable for turning pioneering single-cell imaging work into scalable products.
10 years of coding experience
15 years of employment as a software developer
BS, Genetics, Bioinformatics, BS, Genetics, Bioinformatics at Saint Petersburg State UniversityDoctor of Philosophy (PhD), Systems Biology, Doctor of Philosophy (PhD), Systems Biology at MPI-CBG
English, German, Russian
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (13)
deconvolution10
clustering10
single-cell-analysis10
java9
segmentation9
visualization9
image-processing8
microscopy5
imaging5
scala1
voronoi1
deep-learning1
dsl1
Programming languages (3)
Github contributions (5)
nolanlab/sandbox
Mar 2019 - May 2021
Accessory algorithms and data structures for multivariate single-cell analysis. VorteX and CODEX projects use this library
Contributions:1 release, 2 PRs, 4 pushes in 2 years 1 month
cell-analysiscodexalgorithms-and-data-structuresaccessorybioinformatics
nolanlab/vortex
Mar 2016 - May 2021
VorteX Clustering Environment - Java graphical tool for single-cell analysis, clustering and visualization. Latest release:
Contributions:14 releases, 23 commits, 23 pushes in 5 years 3 months
clusteringjavasingle-cell-analysisvisualization
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