Daniele Ongari
Senior R&I Data Scientist Syensqo.ai Team
Milan, Lombardy, Italy
Summary
👤
Senior🎓
Top SchoolDaniele Ongari is a Senior R&I Data Scientist at Syensqo.ai with nine years of experience at the intersection of data science, computational chemistry, and chemical engineering. Trained as a chemical engineer and trained in computational molecular simulation during a PhD and postdoc at EPFL under Prof. Berend Smit, he has authored multiple first‑author papers and contributed to platforms that screen thousands of microporous materials. He builds production active learning and DoE pipelines for R&D, combining Bayesian optimization, cheminformatics, mixtures design and compositional data to accelerate experimental discovery. Daniele leverages LLMs to turn sparse, unstructured lab records into structured databases that drive predictive modelling and experiment suggestions. He maintains an active GitHub (200 stars) and curates a popular COF papers Twitter bot (5k followers), highlighting a knack for communicating niche research to broader audiences. His background in plant process engineering gives him practical insight into deploying data-driven solutions that bridge simulation and the real world.
9 years of coding experience
2 years of employment as a software developer
Master's degree Chemical Engineering, Master's degree Chemical Engineering at Politecnico di MilanoLiceo Scientifico "Falcone e Borsellino"
Italian, English, French
Github Skills (132)
anomaly-detection10
python10
prophet10
refined10
statistics10
data-science10
uniform10
bot-framework10
data-analysis10
machine-learning10
plugin10
forecasting10
scikit9
cheminformatics9
chemistry9
Programming languages (8)
Github contributions (5)
lsmo-epfl/aiida-lsmo-codes
Oct 2018 - Dec 2020
Collection of compiled binaries for LSMO's computers
Contributions:8 PRs, 59 pushes, 1 branch in 2 years 2 months
compiledlinuxbinariescomputers
danieleongari/pandas-chaining-ninja
Apr 2023 - Dec 2024
Pandas Chaining Ninja is a CheatSheet-like repo that helps you to writing pandas code in a more readable and maintainable way.
Contributions:18 PRs, 50 pushes, 3 comments in 1 year 8 months
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