Steve Lianoglou is Director of Translational Genomics with 17 years blending computational biology, machine learning, and bioinformatics to accelerate therapeutic discovery in neurodegeneration and oncology. He leads cross-functional wet/dry teams and builds modular, user-friendly open-source tooling (facile.bio) that helps both bench and computational scientists explore single-cell and functional genomics. His work spans industry and academia—from a PhD in computational biology at Weill Cornell to leadership roles at Genentech, Denali, and ReviR—delivering genomics-driven programs and lab-focused bioinformatics. An experienced R developer, he contributed notable enhancements to the widely used data.table package, improving merge semantics and S4 compatibility. Pragmatic and collaborative, he favors interactive ecosystems that increase scientific throughput while keeping advanced statistical rigor accessible to non-programmers.
17 years of coding experience
13 years of employment as a software developer
BSc Computer Science, BSc Computer Science at Binghamton University
MSc Computer Science, MSc Computer Science at Columbia Engineering
PhD Computational Biology, PhD Computational Biology at Weill Cornell Medical College, Cornell University
Contributions:37 commits, 3 comments in 2 years 9 months
Contributions summary:Steve primarily contributed to the `data.table` package, focusing on enhancing the `merge` functionality. They implemented new features like the `by` and `suffixes` arguments, improving compatibility with `merge.data.frame`. The user also addressed bug fixes related to these features, ensuring correct column naming, and added tests to validate the behavior of the `merge` function. Additionally, they incorporated S4 compatibility and related documentation updates.
Contributions:45 commits, 14 pushes, 1 issue in 5 months
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