Prof. REALI PIERLUIGI
Assistant professor
Campus: Building 21
Floor: 3°
Office: 007a
Ph.: 3322
Floor: 3°
Office: 007a
Ph.: 3322
Pierluigi Reali is a post-doctoral researcher with a focus on biomedical signal processing and medical informatics.
He earned his bachelor’s and master’s degrees in 2013 and 2016, during which he developed a particular passion for Functional Evaluation, Signal Processing, and Medical Informatics. During his master’s thesis, he also grew an interest in Biostatistics and the applications of bioengineering to quantitative psychology. This motivated the decision to pursue a PhD in the development of models for evaluating emotions and stress from signals of the autonomous and central nervous systems, including ECG, EDA, respiration, and EEG. He received his PhD in 2021.
During the PhD and afterward, he complemented his research activity by serving as a tutor for numerous bachelor’s and master’s theses, as a teaching assistant in several PoliMi courses, mainly Medical Informatics, and as a contract professor in Biostatistics and Bioinformatics at Università degli Studi di Milano. In addition, he cultivated side skills such as programming, parallel computing, machine learning, data analysis and management, and server administration.
Since 2022, he has been working in the Health Big Data Project on the definition of data collection and processing pipelines to enable efficient data sharing and enhance their usability in multicentric studies, leveraging the capabilities of clinical data formats and models (e.g., DICOM, OMOP-CDM, HL7-FHIR) to define data standardization and harmonization pipelines for biosignals, bioimages, and genomic data.
He earned his bachelor’s and master’s degrees in 2013 and 2016, during which he developed a particular passion for Functional Evaluation, Signal Processing, and Medical Informatics. During his master’s thesis, he also grew an interest in Biostatistics and the applications of bioengineering to quantitative psychology. This motivated the decision to pursue a PhD in the development of models for evaluating emotions and stress from signals of the autonomous and central nervous systems, including ECG, EDA, respiration, and EEG. He received his PhD in 2021.
During the PhD and afterward, he complemented his research activity by serving as a tutor for numerous bachelor’s and master’s theses, as a teaching assistant in several PoliMi courses, mainly Medical Informatics, and as a contract professor in Biostatistics and Bioinformatics at Università degli Studi di Milano. In addition, he cultivated side skills such as programming, parallel computing, machine learning, data analysis and management, and server administration.
Since 2022, he has been working in the Health Big Data Project on the definition of data collection and processing pipelines to enable efficient data sharing and enhance their usability in multicentric studies, leveraging the capabilities of clinical data formats and models (e.g., DICOM, OMOP-CDM, HL7-FHIR) to define data standardization and harmonization pipelines for biosignals, bioimages, and genomic data.
