Frederik Gade
Industrial PhD Student at Novo Nordisk
Copenhagen, Capital Region of Denmark
Summary
👤
Senior🎓
Top SchoolFrederik Gade is an Industrial PhD student at Novo Nordisk and DTU with 13 years of experience applying AI and bioinformatics to life-science problems. His work spans childhood cancer genomics, structure-based B-cell epitope prediction, Bayesian genotype–phenotype modeling, and machine-learning polygenic risk scores for obesity, combining statistical rigor with practical translational aims. At Novo Nordisk he has moved from master’s-thesis work on explainable models for EHR time series to roles shaping in silico collaborations across therapeutic areas and now a funded PhD project in systems biology and machine intelligence. He is skilled in handling large, irregularly sampled biomedical datasets and integrating methods like functional PCA, knowledge-graph embeddings, and WGS pipelines. Based in Copenhagen, Frederik is motivated by extracting maximal actionable insight from complex biological data to improve patient outcomes. A less obvious strength is his cross-disciplinary fluency—bridging computational method development, clinical sequencing workflows, and industry-driven project delivery.
13 years of coding experience
3 years of employment as a software developer
Technical High School, Mathematics A - Biotechnology A, Technical High School, Mathematics A - Biotechnology A at Odense Tekniske GymnasiumTechnical University of Denmark
English, Danish
Github Skills (6)
tidyverse6
quarto6
bioinformatics5
r4
data-science3
rstudio3
Programming languages (3)
Github contributions (5)
FSGade/alphafold_epitopes
Jan 2022 - Feb 2022
Contributions:14 commits, 12 pushes, 1 branch in 1 month
FSGade/CrediSite
Dec 2021 - Mar 2023
Contributions:4 pushes, 1 branch in 1 year 3 months
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