Always supportive and understanding.
Passionate about student development.
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Olena Kravchuk is a Senior Lecturer in Biometry at the University of Adelaide's School of Agriculture, Food and Wine within the College of Sciences, a position she has held since 2011. Her academic background includes a BEng (Honours) from the National Technical University of Ukraine, Kiev, an MSc in Applied Mathematics from the University of South Australia, and a PhD in Mathematical Statistics from the University of Queensland in 2006. An Accredited Statistician with the Statistical Society of Australia since 2010, Kravchuk's research specializations encompass nonparametric inference and applied statistics in human nutrition, food sensory science, soil science, and plant sciences. She focuses on the design and analysis of experiments and observational studies, with particular interest in robust statistical methods including rank procedures, food sensometrics beyond consumer research, and agricultural data applications.
Prior to her current role, Kravchuk established a Food Sensory Research Unit at the University of Queensland in 2011 and has maintained long-term collaborations in medical, biological, and agricultural sciences. At the University of Adelaide, she leads the Biometry Hub and directs the Statistics for the Australian Grains Industry - Southern Region (SAGI-STH) project funded by the Grains Research and Development Corporation. Her teaching responsibilities include biometry, sensometrics, and research methods in agriculture. Notable publications include 'Augmented Spatially Balanced and Probability Proportional-to-Size Samples' (Ozturk et al., Journal of Agricultural, Biological, and Environmental Statistics, 2026), 'Effect of different hydrocolloids on texture, rheology, tribology and sensory perception of texture and mouthfeel of low-fat pot-set yoghurt' (Nguyen et al., Food Hydrocolloids, 2017), 'Models for cluster randomized designs using ranked set sampling' (Ozturk et al., Statistics in Medicine, 2023), 'HaploMaker: An improved algorithm for rapid haplotype assembly of genomic sequences' (Fruzangohar et al., GigaScience, 2022), and 'Six Years of Shiny in Research - Collaborative Development of Web Tools in R' (Kasprzak et al., The R Journal, 2020). She has earned a Teaching Award for excellence in teaching from the School of Agriculture, Food and Wine, contributing to advancements in statistical methodologies across disciplines.
