Brian Schilder
Genomic AI Scientist at 120/80 GROUP
London, England, United States
Summary
👤
Senior🎓
Top SchoolBrian Schilder is a Genomic AI Scientist with eight years of experience building scalable computational frameworks that bridge machine learning and multi-omic biology to advance precision medicine. He developed in silico, cell-type–aware latent models during his PhD to map genome-phenome relationships and now applies foundation-model approaches to personalized disease risk and target discovery. As Lead Data Scientist at 120/80 he translates complex biomedical data into strategic, reproducible insights for pharma and digital health clients, and he enforces end-to-end reproducibility by embedding version-controlled code in publications. His background spans academic research at Cold Spring Harbor and Mount Sinai to industry consultation, reflecting a rare combination of deep computational skill, translational focus, and a paleoanthropology-rooted curiosity about biological systems.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Computational Biology & Machine Learning, Doctor of Philosophy - PhD, Computational Biology & Machine Learning at Imperial College LondonBachelor of Science (Sc.B.), Cognitive Neuroscience, Bachelor of Science (Sc.B.), Cognitive Neuroscience at Brown UniversityMaster of Philosophy (M.Phil.), Human Paleobiology, Master of Philosophy (M.Phil.), Human Paleobiology at The George Washington University
Spanish, English
Github Skills (200)
benchmark10
testing10
weighted10
linkedin-api10
file-import10
transcriptomics10
bioconductor10
genomics10
statistical-genetics10
deconvolution10
ontologies10
genes10
r10
causal10
database-api10
Programming languages (15)
Github contributions (5)
neurogenomics/KGExplorer
Dec 2023 - Dec 2025
Import and analyse large-scale biomedical knowledge graphs and ontologies. 🕸️⚙️💻⚙️🕸️
Contributions:1 review, 3 PRs, 30 pushes in 2 years
knowledge-graphontologiesapibig-databioinformatics
neurogenomics/HPOExplorer
Nov 2021 - Dec 2025
Functions for working with the Human Phenotype Ontology data
Contributions:1 release, 1 PR, 123 pushes in 4 years 1 month
ontologiesrare-diseasegeneticsbioinformaticsr-package
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