› georgy klochkov · computational rna biology · ulm, germany
Twenty years of integration and infrastructure engineering in banking and industry, now applied to computational RNA biology. My focus is making machine-learning results on RNA structure checkable by other people.
RNA secondary-structure models are usually evaluated on random splits. This project asks how much of their accuracy remains when training and test data are separated by RNA family, and provides a minimal pipeline so anyone can rerun the answer.
cobalt is a small tool for sequence handling and quality control. It reads input sequences, checks them, and passes clean, consistent records downstream. In the project above, it is the input layer of the pipeline.
I trained in computing systems engineering at Bauman Moscow State
Technical University. Since then I have worked on enterprise
integration, data flows and software architecture across banking,
industry and consulting, including team lead and architect roles. I am
now moving my experience into computational biology, where
reproducibility is still an open problem as much as application of new
approaches. I am based in Ulm and open to hybrid or remote work.
Gerne auch auf Deutsch.
Earlier: software and integration engineering in banking, automotive and embedded systems, 2007–2026.
Interested in research positions in computational RNA biology. Based in Ulm or Tübingen area, open to hybrid or remote.