added new members

content/pages/members/agata-polejowska.md

@@ -0,0 +1,14 @@
+title: Agata Polejowska
+name: Agata Polejowska
+template: people-single
+picture: people/Agata_Polejowska.jpeg
+position: PhD Candidate
+active: yes
+groups: diag, pathology
+default_group: pathology
+email: polejowska.agata@gmail.com
+office: 
+type: phd
+linkedin: https://www.linkedin.com/in/agatapolejowska/
+
+Starting on 1st January 2024, Agata Polejowska is a PhD candidate working within the HEREDITARY (HetERogeneous sEmantic Data Integration for guT-brAin interplay) EU-funded project under the supervision of [member/francesco-ciompi]. She is involved in developing and validating multimodal artificial intelligence models to unravel the intricacies behind the gut-brain axis using data from digital pathology, brain imaging, genomics and microbiomics.

content/pages/members/matteo-pozzi.md

@@ -0,0 +1,14 @@
+title: Matteo Pozzi
+name: Matteo Pozzi
+template: people-single
+picture: people/Matteo_Pozzi.jpg
+position: PhD Candidate
+active: yes
+groups: diag, pathology
+default_group: pathology
+email: mat.poz96@gmail.com
+office: 
+type: student
+
+Matteo Pozzi received his bachelor degree in biology from the university of Parma in 2019 with an experience in molecular dynamics simulations of retinol binding proteins. In 2021 he received the Master's degree in Quantitative and Computational Biology (cum laude) from the University of Trento with a thesis in collaboration with the Human Technopole, in Milan. Here he worked on the integration of CRISPR cas9 sensitivity data with drug sensitivity data. In October 2021 he started his PhD at Fondazione Bruno Kessler and University of Trento with a project on integrating explainable artificial intelligence techniques into deep learning algorithms applied to the medical domain.
+Matteo joined the Computational Pathology Group in 2024 as a visiting PhD student to explore the role of TILs in ductal carcinoma in situ, via deep learning under the supervision of [member/francesco-ciompi].