Researcher Profile

João Rodrigues Correia Ramos, PhD João R. C. Ramos, Joao R. C. Ramos, Joao Rodrigues Correia Ramos
Mail: joao.ramos[at]medizin.uni-freiburg.de ; jr.ramos[at]campus.fct.unl.pt

Welcome to my website 😊 I am a Bioprocess Engineer | Computational Biologist | Hybrid Modeling Specialist

I was Born on a farm in Cape Verde, raised with a practical mindset, and trained across Portugal and Germany, I apply a strict systems-engineering approach to everything I do—whether managing livestock and crops, training neural networks, or modeling intra-cellular viral dynamics.

My work combines biology, data science, and systems optimization. I specialize in statistical modeling, machine learning, and the design of dynamic biological systems, focusing on simulating and decoding the mechanisms of complex biological processes.

Research & Experience

Research: Applying hybrid modeling frameworks to decode complex biological systems, expanding on previous work in biopharma and systems biology.

FCT NOVA University of Lisbon: Focused on hybrid deep modeling of bioprocesses and in silico media/feed design using semi-parametric modeling. This work directly achieved a >50% increase in mammalian cell productivity.

Max Planck Institute: Developed mechanistic dynamic models of cell growth, central carbon metabolism, and viral production in animal cells. Specialized in parameter optimization, intracellular analysis, and process scalability.

Outside the Lab

I am a digital "nerd" building automation tools leveraging math, programing and AI, such as making websites, automation bots, and quantitative finantial models. To disconnect, I read, focus on distance running, games, and working on our mini farm tending to the garden, chickens, and goats. Music is the constant backdrop to both my work and life.

I believe that engineering requires precision, care, and a clear understanding of the biological constraints within the systems we build.

Find more information and latest projects on the sections of this page and my profiles below.

Spin-off contribution: https://levacells.com/

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