Sarah Aliko

AIML Engineer II at GSK

London, England, United Kingdom
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Summary

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Senior
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Top School
Sarah Aliko is an AIML Engineer II at GSK with eight years' experience developing agentic workflows and multi-agent “AI scientist” systems. She combines industrial AI/ML engineering with a strong academic background as a UCL PhD student in computational neuroscience, focusing on naturalistic brain connectivity. Her work bridges data science and research-grade neuroimaging, having contributed to a public naturalistic neuroimaging database that reflects a commitment to reproducible, open science. Prior roles span data science and research support at CENTRIC LAB and MRC LMB, giving her hands-on experience across experimental and production environments. Based in London, she brings practical deployment experience in pharma AI alongside deep domain knowledge of brain connectivity and modelling. Colleagues describe her as someone who translates complex scientific questions into scalable agentic ML solutions.
code8 years of coding experience
job4 years of employment as a software developer
bookBachelor of Science (BSc), Bachelor of Science (BSc) at The University of Edinburgh
bookDALF C2 Diploma, DALF C2 Diploma at French Institute of Languages in Tunis
bookUniversity College London
languagesAlbanian, Italian, English, French, Spanish
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Github Skills (17)

holoviz6
holoviews6
java5
development-environment3
pde3
community-detection3
dynamics2
python2
compiler2
bids2
topological-data-analysis1
connectivity1
network-tools1
imageai1
temporal1

Programming languages (2)

JavaPython

Github contributions (5)

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sarahucl94/text_mining

Oct 2017 - Jul 2020

Contributions:23 pushes, 2 branches in 2 years 9 months
sarahucl94/access_key

Oct 2018 - Jul 2020

Contributions:4 pushes, 1 branch in 1 year 9 months
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