Restuadi Restuadi
Research Associate In Computational Biology
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolRestuadi is a computational biology researcher with 10 years of experience at the intersection of molecular biology, bioinformatics, and statistical genetics, currently advancing precision oncology at Imperial College London. He combines deep applied epidemiology and population genetics expertise with hands-on bioinformatics—having optimized NGS pipelines and led GWAS and ML analyses across institutions including UQ, Eijkman, UCL and Imperial. A seasoned educator, he has taught introductory and advanced statistics for medical genetics at a top UK medical school and runs a popular data-analysis consulting service within UCL. His current work uses mathematical modelling to tailor cancer treatment by integrating patient genetics, reflecting a rare blend of theoretical genetics and practical translational impact. Known for consistently translating complex genomics into reproducible analysis pipelines, he brings both academic rigor (PhD in Human/Medical Genetics) and practical bioinformatics craftsmanship to collaborative research.
10 years of coding experience
13 years of employment as a software developer
Bachelor of Science (B.Sc.), Biotechnology, 3.58 / 4.0, Bachelor of Science (B.Sc.), Biotechnology, 3.58 / 4.0 at Universitas Katolik Indonesia Atma JayaMaster of Bioinformatics (MBioinf (Adv)), Biomathematics, Bioinformatics, and Computational Biology, 6.69 / 7.0, Master of Bioinformatics (MBioinf (Adv)), Biomathematics, Bioinformatics, and Computational Biology, 6.69 / 7.0 at The University of Queensland
English, Indonesian
Github Skills (6)
gwas7
statistical-genetics7
genomics3
gatk2
python2
command-line-tool2
Programming languages (1)
Github contributions (5)
restuadi311/EasyGATK
Oct 2015 - Mar 2016
Contributions:15 commits, 1 PR, 18 pushes in 4 months
gatkpipelines
restuadi311/trials_Martha
Feb 2019 - Feb 2019
Contributions:3 pushes, 2 branches in 1 day
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