Your lab generates data. The question is whether your analysis is actually answering your biological question — or just producing results. I help wet lab researchers use the right methods, understand what they're looking at, and move faster without hiring a full-time bioinformatician or computational biologist.
Get in touch
During my PhD at EMBL Heidelberg, I spent the majority of my time writing code, cleaning data, managing dependencies, and troubleshooting pipelines. That left little time for what actually matters: asking whether the method I was using was the right one, and whether the results were answering the biological question I started with.
AI has changed a lot of that. Building a pipeline today is faster than it has ever been, and I use it to move faster too. But speed doesn't fix the wrong question. You still need someone who understands the lens through which you're looking at your data — what assumptions a method makes, what it can and cannot show, and whether the output means what you think it means.
That's the gap I work in. Not replacing the biology you know — you bring that. I bring the methodological clarity so that your data actually serves your science.
All projects are scoped and priced upfront. No long-term commitment needed.
Custom analysis pipelines built around your specific assay and biological question — from raw data to interpretable outputs, not generic workflows dropped into your data.
You share the data, I deliver results alongside a plain explanation of what they mean and what they don't. Designed so you can present and build on the findings yourself.
Before you run the experiment — advice on whether your planned analysis can answer your question, and what you need to collect to make the statistics work downstream.
Turning manual, repetitive steps into scripts your lab can rerun without needing me each time. Reproducible, documented, and transferable.
Helping lab members understand the methods they're using well enough to interpret outputs, spot problems, and know when to ask for help. Not programming courses — biological method literacy.
Connecting your data to the right ecosystem — whether that's spatial omics platforms, single-cell frameworks, or custom tooling built around your lab's workflow.
Send a brief description of your project, your data, and what you're trying to answer. No formal brief needed.
A short call to understand the biological question, the data you have, and what a useful output looks like for you.
A clear description of what I'll deliver, how long it will take, and what it will cost. No ambiguity.
Project-based, with regular check-ins. You stay involved so the outputs are yours to understand and build on.
I'm a computational biologist based in Heidelberg, Germany, with over a decade of experience across genomics, proteomics, single-cell analysis, spatial omics, and multi-omics integration. What drives my work is a simple conviction: the quality of the science depends on the quality of the questions, and the quality of the questions depends on how well you can look at your data. I'm drawn to the problem-solving side of this — figuring out whether an existing tool answers what you're actually asking, adapting it when it doesn't, or building something new when nothing fits.
I did my PhD at EMBL Heidelberg, where I developed computational frameworks for spatial and single-cell metabolomics. Before that, I worked at EMBL-EBI on regulatory network inference and host-viral interactions, and in industry on variant prioritization and gene-disease association tools. I've worked across a wide range of biological systems and data types, which means I'm not limited to one domain.
After completing my PhD, I transitioned to self-employment, offering independent bioinformatics consulting to research labs. Alongside this, I serve as Data Science Lead at METASPACE, an open-source platform for spatial metabolomics data analysis originally developed at EMBL Heidelberg and currently maintained by the Alexandrov lab at UC San Diego.
If you have a dataset, a biological question, or just want to explore whether computational support would help your lab — reach out. No commitment required for the first conversation.
wadie.bishoy@proton.me