Sandra Castillo
Senior Scientist at VTT
Espoo, Finland
Summary
👤
Senior🎓
Top SchoolSandra Castillo is a Senior Scientist based in Espoo with 17 years of experience applying deep learning and statistical methods to biological data, specializing in generative models for protein design and variational autoencoders. At VTT she has driven development of genome-scale metabolic model reconstruction and optimization algorithms, built open-source metabolic modelling tools (including AntND), and contributed to widely used LC-MS analysis frameworks like MZmine 2. Proficient in Python, Java, R and multiple compiled languages, she pairs hands-on ML engineering (TensorFlow/Keras) with backend and database work (Django, SQL, Neo4j). Her background in biochemistry and biology underpins a rare cross-disciplinary fluency that lets her translate high-dimensional omics problems into deployable algorithms. Beyond model building she has a track record of producing reusable open-source tools and practical web and data infrastructure for scientific workflows. Colleagues value her ability to bridge deep computational methods and wet-lab relevance, bringing research-grade models toward real-world metabolic and protein engineering applications.
17 years of coding experience
6 years of employment as a software developer
Master, Biochemistry, Master, Biochemistry at Universitat Autònoma de Barcelona
English, Spanish, Catalan, Finnish
Github Skills (5)
genome7
mass-spectrometry7
bioinformatics6
java5
scale4
Programming languages (2)
Github contributions (5)
SandraCastilloPriego/antnd
Oct 2015 - Feb 2017
Contributions:161 commits, 89 pushes, 1 branch in 1 year 4 months
SandraCastilloPriego/alvs
Jul 2012 - Dec 2015
Contributions:6 commits, 2 pushes, 1 branch in 3 years 5 months
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