Project Researcher · University of Turku
Sabuj C. Bhowmick
Data science, machine learning, and computational biology
I develop reproducible analytical workflows for scientific and applied problems, with an emphasis on rigorous validation, interpretable results, and research software that others can inspect and reuse.
About
Interdisciplinary analysis with scientific discipline.
I am a Project Researcher in the Department of Computing and an MSc Data Analytics student at the University of Turku. My background spans statistics, mathematical sciences, public health, Internet of Things engineering, machine learning, and computational research.
I work on reproducible and interpretable data-driven solutions, particularly in computational biology, microbiome analytics, biostatistics, predictive modeling, and research software. My approach emphasizes data quality, leakage prevention, appropriate validation, transparent evaluation, and outputs that can be reproduced by other researchers.
Technical focus
Methods, software, and domain knowledge working together.
My portfolio connects statistical reasoning with implementation: the evaluation design, data pipeline, and software behavior are treated as part of the scientific result.
Computational biology
Microbiome analysis, multi-omics integration, compositional data, Bioconductor, and Joint-RPCA workflows.
Machine learning and statistics
Predictive modeling, time-series analysis, group-aware validation, model comparison, and interpretation.
Research software
Python, R, SQL, Git/GitHub, automated testing, Quarto, documentation, and reproducible analytical pipelines.
Research practice
What I optimize for
Research and technical collaboration
I welcome discussions about computational biology, data science, research software, thesis or PhD work, and methodologically rigorous machine-learning projects.