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.

• 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

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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.

• 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

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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.

• 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

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