Started programming
Learned through small experiments across desktop software, games, Android, embedded systems, and scripts rather than following one fixed stack.
About
Yavar Dezfouli.
Biotechnology graduate, long-time programmer, and independent builder working where laboratory science, scientific data, and personal computing overlap.
The short version
Biology was the degree. Building things came first.
I began programming at fourteen, moving through C, C++, C#, Lua, Visual Basic, embedded C, Python, R, and Java for Android.
Studying biotechnology added a second way of thinking: experiments, controls, reproducibility, uncertainty, and the discipline of documenting what actually happened. MesoLab and AEDA are where those two histories meet.
Timeline
A path through code, laboratory work, and product building.
This is not a list of every experiment or language. It is the sequence that explains the current projects.
Translational oncology research
Worked in a mesothelioma laboratory environment with cell culture, SRB viability assays, spheroids, Western blotting, and flow cytometry.
B.Sc. Bioengineering / Biotechnology
Completed the degree at Hochschule Rhein-Waal and defended research on Nintedanib combined with autophagy inhibitors in mesothelioma models.
Publication contribution and independent products
Contributed as a co-author to a research publication while developing MesoLab Analytics, AEDA, and the systems that support them.
Selected publication
Dual HDAC and PI3K Inhibitor CUDC-907 Inhibits Growth of Pleural Mesothelioma
Co-author · Cells, 2025. The study examined CUDC-907 activity in pleural mesothelioma and the impact of cisplatin sensitivity and Myc expression.
View the publication on PubMed ↗Scientific context
Methods that shape the way I design tools.
Scientific software should reflect how laboratory decisions are actually made, not only what fits neatly into a database.
Cell-based experiments
Cell culture, SRB viability assays, spheroid models, combination treatments, and dose-response interpretation.
Protein and marker analysis
Western blotting, densitometry context, flow cytometry, documentation, controls, and troubleshooting.
Data workflows
Python and R analysis, normalization, quality checks, IC50 workflows, reporting, and clear handoff to non-technical users.
Programming history
Languages changed. The habit did not.
I use technologies according to the problem rather than treating a framework as an identity.
CC++C#LuaVisual BasicEmbedded CPythonRJava / AndroidHTML / CSSLinuxDocker
Contact
Science, software, or something between them?
Reach out about biotechnology, laboratory tools, local-first AI, research software, or a useful collaboration.
