BrianΒ Schilder

Genomic AI Scientist at Standard Model Biomedicine

London, England, United States
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Summary

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Top School
Brian 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.
code8 years of coding experience
job7 years of employment as a software developer
bookDoctor of Philosophy - PhD, Computational Biology & Machine Learning, Doctor of Philosophy - PhD, Computational Biology & Machine Learning at Imperial College London
bookBachelor of Science (Sc.B.), Cognitive Neuroscience, Bachelor of Science (Sc.B.), Cognitive Neuroscience at Brown University
bookMaster of Philosophy (M.Phil.), Human Paleobiology, Master of Philosophy (M.Phil.), Human Paleobiology at The George Washington University
languagesSpanish, English
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Github Skills (200)

transcriptomics10
statistical-genetics10
preprocessing10
fine-mapping10
gwas10
cran10
deconvolution10
r10
database-api10
continuous-integration10
r-package10
comparative-genomics10
weighted10
file-import10
bioconductor10

Programming languages (13)

JavaC++CMakefileTeXNextflowHTMLJupyter Notebook

Github contributions (5)

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RajLabMSSM/Fine_Mapping

Jan 2019 - Mar 2022

Contributions:300 commits, 1 push in 3 years 1 month
neurogenomics/HPOExplorer

Nov 2021 - Mar 2025

Functions for working with the Human Phenotype Ontology data
Contributions:1 release, 1 PR, 122 pushes in 3 years 4 months
bioinformaticsclinical-genomicsgeneticshuman-phenotype-ontologyontologies
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Brian Schilder - Genomic AI Scientist at Standard Model Biomedicine