Simo M.

I am a bioinformatician and data scientist with extensive experience across academia and industry, currently working at a spatial transcriptomics biotech startup. I bring a strong combination of biological insight and advanced computational expertise to solve complex data challenges.

My background includes data science, machine learning, and AI applied to high-dimensional datasets such as genomics and transcriptomics. I also have hands-on experience with single-cell data, spatial transcriptomics, and image-based analyses, allowing me to work across both sequencing and imaging modalities.

Beyond biotech, my skills are highly transferable. I support a wide range of data-driven projects, including predictive modeling, data analysis, and building scalable computational pipelines.

-Bioinformatics analysis (RNA-seq, single-cell, spatial transcriptomics)

-Data science & machine learning (model development, prediction, clustering, feature engineering...)

-AI applications (custom pipelines, deep learning, data-driven insights)

-Image processing & analysis (microscopy data, segmentation, feature extraction)

-Data processing & visualization

I focus on delivering robust, scalable, and well-documented solutions. Whether you need help with a one-off analysis or building a full pipeline, I aim to provide results that are technically sound and easy to interpret.

-PhD-level training with strong scientific foundation

-Industry experience in cutting-edge biotech

-Ability to bridge biology, data science, and imaging

-Clear communication and reliable delivery

If you’re looking for someone who can turn complex data into meaningful insights — in biotech or beyond — feel free to get in touch.