Alexandros Goulas
Principal Investigator Senior Research Scientist
Hamburg, Germany
Summary
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Top SchoolAlexandros Goulas is a Senior Data Scientist based in the Rhein-Neckar region with six years of applied experience building agentic document Q&A systems for the pharmaceutical domain. He blends a deep academic foundation—a PhD in Neuroscience and an MSc in Artificial Intelligence—with hands-on industry work at AbbVie and prior research roles at leading institutions like UKE and the Max Planck Institute. His expertise spans biological and artificial neural networks, computational neuroscience, and productionizing data-driven solutions for complex, regulated text corpora. Known for translating cutting-edge research into practical pipelines, he focuses on robust, interpretable models tailored to clinical and pharma document workflows. Colleagues value his ability to bridge experimental rigor with product-oriented delivery, bringing both scientific curiosity and deployment discipline to cross-functional teams.
6 years of coding experience
7 years of employment as a software developer
PhD, Neuroscience, PhD, Neuroscience at Maastricht UniversityMSc, Artificial Intelligence, MSc, Artificial Intelligence at KU LeuvenBSc, Informatics, BSc, Informatics at Technological Educational Institute of Athens
Greek, French, German, English
Github Skills (29)
recurrent10
linear-models9
predictive-modeling8
electrophysiology8
mining8
computational-neuroscience8
predict7
sequential7
statistics6
recurrent-neural-networks5
machine-learning5
data-mining5
pytorch4
data-science4
manipulation4
Programming languages (1)
Github contributions (5)
AlGoulas/receptor_principles
Nov 2019 - Apr 2021
Data mining of receptor autoradiography data with statistics and machine learning
Contributions:51 commits, 2 PRs, 17 pushes in 1 year 5 months
data-analysisminingstatisticsdata-sciencedata-mining
AlGoulas/bio_rnn_mem
Oct 2020 - May 2021
Predict sequential data with recurrent neural networks with biological wiring
Contributions:34 commits, 2 PRs, 8 pushes in 7 months
deep-learningrecurrent-neural-networksneural-networksmachine-learningpredict
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