Biomedical Image Analysis
Custom pipelines for 2D and 3D biological image data — including cell segmentation, object detection, and quantitative morphological analysis. Specializing in light-sheet microscopy, high-content screening, and whole-brain imaging datasets.
Deep Learning for Biology
Training, fine-tuning, and deploying deep learning models for biological applications — including cell detection (StarDist, Cellpose), classification, and custom architectures tailored to your specific imaging modality and research questions.
Statistical Analysis & Bayesian Methods
Bayesian uncertainty quantification, parameter inference, and statistical modeling for complex scientific datasets. From experimental design to publication-ready analysis and visualization.
HPC & Pipeline Development
Optimizing computational workflows for large-scale data processing on HPC clusters. Parallelization strategies (MPI, OpenMP), pipeline architecture, and performance engineering for scientific computing workloads.
Advisory
Short-term consultation on methodology, pipeline design, or analysis strategy. Ideal for teams that need expert guidance but will execute themselves.
Project-based
End-to-end development of a custom analysis pipeline or tool, from requirements to delivery and documentation. Typical engagements run 1–4 months.
Collaboration
Embedded collaboration as a computational partner on a research project, contributing to analysis, methods development, and co-authorship.
