Jose Carlos Bonilla OlivaView profile
Assistant Professor
Jose Carlos Bonilla Oliva serves as a Tenure Track Assistant Professor in the Department of Food Science at the Faculty of Science, University of Copenhagen. His research focuses on food colloids microstructure using advanced physical characterization techniques. Educational background: PhD in Food Science, Purdue University (awarded May 9, 2020) His primary research integrates food structure analysis with computational methods, specializing in microscopy, rheology, and texture properties of colloidal systems. He develops machine learning approaches for image analysis to quantify microscopic features in food matrices, bridging fundamental science with practical applications in food product development. His recent publication in Food Hydrocolloids (2025) demonstrates machine learning applications for droplet quantification in colloids, reflecting a growing trend toward computational image analysis in food science. This work advances precision in microstructural characterization with implications for texture engineering and functional food design. No scientific awards or student advising information is documented in available sources. Laboratory collaborations appear focused on country-level external partnerships as indicated by network visualization data, though specific team structures remain unspecified.




