معرفی
Heli Julkunen is a Postdoctoral Researcher in the Department of Computer Science at Aalto University, Finland, specializing in machine learning applications for biomedical research. Her work bridges computational methods with healthcare challenges, particularly in precision medicine and drug discovery, with publications in high-impact journals including Nature Communications and Bioinformatics.
Her research focuses on developing advanced computational models for disease risk prediction using large-scale biobank data, multi-way interaction modeling for drug combination effects, and scalable nonlinear regression techniques. She employs kernel methods, tensor reconstruction, and machine learning algorithms to analyze complex biological datasets, emphasizing predictive accuracy and computational efficiency in high-dimensional spaces.
Analysis of her 2018-2025 publications reveals consistent innovation in biomedical machine learning, with significant contributions to precision medicine through UK Biobank-based disease prediction and to drug discovery via kernel-based bioactivity modeling. Her work demonstrates strong interdisciplinary collaboration with researchers like Juho Rousu and Tero Aittokallio, targeting real-world applications in healthcare analytics and therapeutic development.
