Sergio Cuesta
Principal Data Scientist, Bioinformatics And AI
Cambridge, England, United Kingdom
Summary
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Senior🎓
Top SchoolSergio Cuesta is a Principal Data Scientist in bioinformatics and AI based in Cambridge with over a decade of experience applying computational methods to chemical, genomic and proteomic data for preclinical drug discovery. He has led and matrix-managed teams at AstraZeneca and collaborated with academic partners (Francis Crick Institute, University of Cambridge) to translate omics and protein informatics into target prioritisation and hit discovery decisions. His background spans cheminformatics, high-throughput sequencing, genome-wide screens and single-cell methods, and he holds a PhD from Cambridge with publications and a patent in sequencing methodologies. Known for building reproducible research infrastructure and training junior scientists, he blends hands-on Python/R/Linux expertise with strategic AI/ML leadership across oncology and other therapy areas. An understated strength is his track record of bridging industrial drug discovery needs with academic innovation, including establishing version-controlled workflows and delivering university-level bioinformatics teaching.
10 years of coding experience
9 years of employment as a software developer
Master of Science - MS, Chemistry, Master of Science - MS, Chemistry at Universidad de GranadaMaster of Science - MS, Chemistry, Master of Science - MS, Chemistry at University of California, Santa BarbaraDoctor of Philosophy - PhD, Bioinformatics and Molecular Biology, Doctor of Philosophy - PhD, Bioinformatics and Molecular Biology at University of CambridgeSummer internship, Chemistry, Summer internship, Chemistry at Loyola University ChicagoSummer internship, Finance, International Relations and Korean language, Summer internship, Finance, International Relations and Korean language at University of Seoul
Spanish, English, French, German, Russian
Github Skills (30)
ecology10
python-course10
rna-seq10
stable9
bioinformatics9
genomics9
science8
sequencing8
chip-seq8
data-wrangling8
r8
data-visualisation7
machine-learning7
pandas7
python7
Programming languages (5)
Github contributions (5)
semacu/fiocruz-bigdata-epigenomics
Oct 2020 - Nov 2020
Contributions:31 commits, 30 pushes, 1 branch in 1 month
semacu/data-science-python
May 2020 - Nov 2022
Data Science in Python course
Contributions:109 commits, 1 PR, 104 pushes in 2 years 6 months
data-analysispythonsciencedata-sciencemachine-learning
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