Dr. Alessandra Biancolillo attained her PhD Degree in Spectroscopy and Chemometrics by the University of Copenhagen (KU) working on a joint project between the Norwegian Institute for Food and Fishery (NOFIMA) and KU. After this, she has been a post-doc researcher at the University of Rome “La Sapienza”, at the Catholic University of the Sacred Heart School of Medicine (Rome, Italy) and an ingénieurs de recherché (post-doc researcher) at the IRSTEA institute in Montpellier (France). Since 2019, she is researcher at the University of L’Aquila (Italy). Her main research topics are multi-block analysis, classification method development and feature selection.

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• 1. Spectral data pre-processing methods and strategies2. Chromatographic Data alignment and pre-treatment3. Grasping in the darkness: exploratory analysis and unsupervised explorative methods4. Classical and cutting-edge regression methods5. Looking for significant connections: an overview on classification methods6. Unity makes strength: multi-block strategies for data analysis7. Straight to the target: Up-to-date advanced technologies for food quality control and forensic applications8. Targeted and untargeted approaches in food and forensic sciences9. A picture is worth one thousand words: multivariate and hyperspectral image analysis of complex matrices10. On the crime scene: Chemometrics for food frauds detection, quality control and other applications in food science11. On the crime scene II: Chemometrics in forensic science12. On the crime scene III: multi-block chemometrics for food frauds detection, quality control and other applications in forensic science

Dr. Alessandra Biancolillo attained her PhD Degree in Spectroscopy and Chemometrics by the University of Copenhagen (KU) working on a joint project between the Norwegian Institute for Food and Fishery (NOFIMA) and KU. After this, she has been a post-doc researcher at the University of Rome “La Sapienza”, at the Catholic University of the Sacred Heart School of Medicine (Rome, Italy) and an ingénieurs de recherché (post-doc researcher) at the IRSTEA institute in Montpellier (France). Since 2019, she is researcher at the University of L’Aquila (Italy). Her main research topics are multi-block analysis, classification method development and feature selection.

Select Guide Rating

• 1. Spectral data pre-processing methods and strategies2. Chromatographic Data alignment and pre-treatment3. Grasping in the darkness: exploratory analysis and unsupervised explorative methods4. Classical and cutting-edge regression methods5. Looking for significant connections: an overview on classification methods6. Unity makes strength: multi-block strategies for data analysis7. Straight to the target: Up-to-date advanced technologies for food quality control and forensic applications8. Targeted and untargeted approaches in food and forensic sciences9. A picture is worth one thousand words: multivariate and hyperspectral image analysis of complex matrices10. On the crime scene: Chemometrics for food frauds detection, quality control and other applications in food science11. On the crime scene II: Chemometrics in forensic science12. On the crime scene III: multi-block chemometrics for food frauds detection, quality control and other applications in forensic science