Engineer of complex systems, transitioning from code to biology
📧 Email: georgy@klochkovg.com
💼 LinkedIn: linkedin.com/in/georgy-klochkov
I work at the intersection of artificial intelligence, systems engineering, and the life sciences.
This site documents my professional development, projects, and ideas — and serves as an entry point for academic collaboration, open-source work, and interdisciplinary research.
My technical foundation comes from a classical engineering education at Bauman Moscow State Technical University (BMSTU), where Is studied how to design computing systems in the broader sense, both hardware and software design. The program emphasized mathematics, systems thinking, and close interaction between software, hardware, and networks. This training shaped my habit of reasoning from first principles and thinking in terms of system behavior, constraints, and failure modes. I now build on this background through ongoing study in artificial intelligence, machine learning, and molecular and computational biology, with the aim of applying engineering approaches to the analysis of biological systems.
Here I publish experimental work, learning notes, and early-stage tools related to AI, bioinformatics, and systems modeling. Some projects live on subdomains (e.g., hafnium.klochkov.ai) or in public repositories.
The emphasis is on clarity, reproducibility, and incremental progress — not polished results. some point, it became clear to me that the most complex systems we know are not digital, but biological. Cells, tissues, and organisms exhibit properties — robustness, self-repair, emergence — that software systems only approximate.
Learning, for me, is not a phase but a permanent state. This site reflects that process openly: experiments, notes, partial results, and evolving ideas.
I am interested in:
You can reach me via email or LinkedIn.