Summary
Daniel Wiczew is a Co-Founder and CTO with eight years of interdisciplinary experience at the intersection of AI and molecular science, currently leading technology and growth at NEBULA from Nancy, France. He combines advanced Python and TensorFlow development with deep domain expertise in molecular dynamics, computational chemistry, QSAR, and RDKit-driven drug screening, honed during a PhD focused on deep learning for molecular systems. Daniel has practical startup experience—co-founding emAI and taking products from MVP to pre-seed fundraising—and blends that with academic rigor evidenced by research mobility at SciLifeLab and PRBB and a visible scholarly footprint. He mentors and evaluates emerging synthetic biology projects as an iGEM judge, bringing ethics and biosafety awareness to applied ML work. Notably, he pairs hands-on HPC and kernel-method skills with reinforcement learning and adversarial autoencoder experience, making him adept at turning complex biological data into deployable ML solutions.
8 years of coding experience
2 years of employment as a software developer
IT specialist IT specialist, IT specialist IT specialist at The Peoples of the United Europe School Complex
Doctor of Philosophy - PhD Artificial Intelligence in biomedical science, Doctor of Philosophy - PhD Artificial Intelligence in biomedical science at Universite de Lorraine
Doctor of Philosophy - PhD Artificial Intelligence in biomedical science, Doctor of Philosophy - PhD Artificial Intelligence in biomedical science at Wrocław University of Science and Technology
English, French, German, Polish