Romain Strock
London, England, United Kingdom
Summary
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SeniorRomain Strock is a Senior Machine Learning Scientist in London with 13 years of experience at the intersection of AI and biology, blending an early software engineering background with over eight years as an independent AI/ML contractor. He completed a part-time PhD in Computational Biology at Imperial College while discovering novel antibacterial compounds by combining large-scale genomics, DNA foundation models, phylogenetics, structural biology and experimental validation. His industry work spans FTSE‑100 energy systems, urban mobility and travel pricing—shipping production ML solutions for forecasting, fault prediction, geospatial processing and dynamic pricing. Comfortable across the Python deep learning stack (TensorFlow, PyTorch) and cloud/data engineering, he moves projects from research prototypes to deployable systems. Notably, he routinely applies DNA-first modelling techniques (e.g., Enformer adaptations) to sift thousands of genomes for drug discovery, an uncommon bridge between applied ML and wet-lab impact.
13 years of coding experience
Github Skills (23)
jquery-plugin10
google-analytics10
folding10
bioinformatics10
numerical-optimization10
covariance-matrix9
python9
sequence-alignment9
conda9
phylogenetics9
optimization9
clustering9
genomics9
protein-structure9
tensorflow8
Programming languages (5)
Github contributions (5)
srom/easyAB
May 2013 - Jul 2018
⚠️ Unmaintained ⚠️ | A jQuery plugin for easily setting up A/B tests using Google Analytics.
Contributions:56 commits, 2 pushes, 7 issues in 5 years 2 months
google-analyticsjquery-plugin
srom/cma-es
Oct 2019 - Dec 2021
Covariance Matrix Adaptation Evolution Strategy (CMA-ES)
Contributions:79 commits, 2 PRs, 70 pushes in 2 years 2 months
covariance-matrixtensorflowoptimizationoptimization-algorithmsnumerical-optimization
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