Cuong To

Head Of Machine Learning at Level Nine

Berlin Metropolitan Area Germany
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Summary

👤
Senior
🎓
Top School
Cuong To is a machine learning scientist and entrepreneur with 11 years of experience building AI-first biotech and materials discovery platforms. As co-founder and CTO of Epsilico he raised over €3M and led a 20-person team to combine generative models with wet-lab automation to design therapeutic mini-proteins and antibodies, and now leads ML for catalyst design at Level Nine. His background spans privacy-preserving generative modeling, sequence and data-fusion research, and production ML tooling from his time at Statice and academic labs, giving him rare fluency across wet lab, modeling, and productization. Based in Berlin, he has a track record of scaling deep tech startups through accelerator programs and international market access initiatives, and often gravitates toward hard-to-drug biologics and high-impact, underexplored problems.
code11 years of coding experience
job16 years of employment as a software developer
bookMaster's degree, Computer Science, Master's degree, Computer Science at Università di Trento
bookMarie Curie PhD (dropped out), Marie Curie PhD (dropped out) at Freie Universität Berlin
bookBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Hanoi University of Science and Technology
bookMaster, Informatics, Master, Informatics at RWTH Aachen University
bookBengaluru University
languagesGerman, English, Vietnamese
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Github Skills (18)

genomics9
phylogenetics8
fusion8
sequence-alignment8
bioinformatics8
cvs7
python7
protein-structure7
git-repository6
render5
biopython5
graphical-models4
probabilistic3
visualization3
matplotlib3

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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Contributions:8 commits, 58 pushes, 3 branches in 2 years 1 month
totucuong/spectrum

Dec 2017 - Apr 2020

A python library for data fusion
Contributions:65 commits, 26 PRs, 66 pushes in 2 years 4 months
python-librarypythondata-fusionfusion
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Cuong To - Head Of Machine Learning at Level Nine