Expertise
Computational methods, AI and software engineering applied to biological and biomedical data.
Bioinformatics & Computational Biology
Analysis of biological and genomic datasets using computational methods, machine learning and statistical approaches to extract meaningful insights from complex biological systems.
AI for Medical and Biological Imaging
Development of deep learning models for biological and medical image analysis, including cell detection, tissue analysis and AI-assisted diagnostics.
Scientific Data Analysis
Processing and analysis of large-scale biomedical datasets using Python, machine learning and statistical modeling for research and scientific discovery.
Deep Learning for Biomedical Research
Development and application of machine learning models to support biomedical research, pattern recognition and predictive analysis in biological data.
Research Software Engineering
Design and development of robust research software platforms, combining software engineering practices with biomedical and scientific applications.
AI Systems & Data Pipelines
Design of scalable AI pipelines and backend systems for training, deploying and integrating machine learning models in scientific and biomedical environments.