Skills:
Discriminant/ROC | Bioinformatics experimental design | Generative AI | Convolutional Neural Networks | Natural Language Processing | Deep Learning/Neural Networks | Anomaly detection | Time Series | Decision Trees | Dimensionality reduction/clustering | Classification | Mixed Model (LMM; GLMM) | Longitudinal data analysis | Regression | Bayesian Machine Learning | Machine learning | Survey design and analysis | Correlation analysis | Group comparison | Meta-analysis | Exploratory analysis | Experimental design | Clinical trial design and analysis
Roman joined QCIF as a software developer after working in a mixture of academia and industry across New Zealand, England, and Australia.
He did his PhD in Computer Science at Victoria University of Wellington exploring network visualization. He is particularly interested in stories: those we tell each other and those the world tells us. This has led him to work on diverse topics, including developing new methods for analyzing the spiral growth of snails, predicting physiotherapist workload, and measuring longitudinal trends in newspaper articles, to name a few.
Memorably, he developed medical research infrastructure for a London hospital at the height of Covid.
Outside of work, Roman enjoys reading, photography, and trying to improve his struggling drawing and piano skills.
