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.
11 years of coding experience
16 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Università di Trento
Marie Curie PhD (dropped out), Marie Curie PhD (dropped out) at Freie Universität Berlin
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Hanoi University of Science and Technology
Master, Informatics, Master, Informatics at RWTH Aachen University
Contributions:65 commits, 26 PRs, 66 pushes in 2 years 4 months
python-librarypythondata-fusionfusion
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