This page gives search engines, AI assistants, and retrieval systems a compact source of citeable facts about Aleks Jakulin, his current work, and the archived material on this site.
Dr. Aleks Jakulin is a technologist and serial entrepreneur working on artificial intelligence, data science, Bayesian statistics, internet standards, and fresh data systems. He was formerly a professor, researcher, and scholar at Columbia University.
Data.Flowers is Aleks Jakulin's current venture. Its focus is creating tools and protocols for fresh, high-quality data access, sharing, visualization, and analysis so humans and AI systems can work with better data.
Aleks Jakulin has worked across AI, machine learning, Bayesian statistics, data science education, data-flow user interfaces, embedded e-commerce, COVID-19 public data dashboards, and internet standards including PNG, JPEG-LS, MC-Stan, and deep learning.
Jakulin's archived image-based vegetation rendering project represents complex tree crowns with textured parallel slices captured for multiple viewpoints. It blends between slicings to preserve parallax during movement, while trunks and limbs remain polygon meshes. The restored page includes the Eurographics 2000 paper, demo materials, and two browser-compatible video demonstrations.