TeraLab – Statistics, AI, HPC & Bioinformatics Research Group @ Sapienza

We are pleased to announce the launch of the research collection “𝗛𝗶𝗴𝗵 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴 𝗳𝗼𝗿 𝗔𝗜-𝗱𝗿𝗶𝘃𝗲𝗻 𝗢𝗺𝗶𝗰𝘀 𝗮𝗻𝗱 𝗛𝗲𝗮𝗹𝘁𝗵 𝗗𝗮𝘁𝗮 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴”, now open for submissions at 𝘍𝘳𝘰𝘯𝘵𝘪𝘦𝘳𝘴 𝘪𝘯 𝘏𝘪𝘨𝘩 𝘗𝘦𝘳𝘧𝘰𝘳𝘮𝘢𝘯𝘤𝘦 𝘊𝘰𝘮𝘱𝘶𝘵𝘪𝘯𝘨. This collection explores the convergence of AI, HPC, and life sciences, addressing how large-scale computational infrastructures can enable next-generation research in omics, bioinformatics, and medical informatics. 🧬The research collection is guest edited by Marco Masseroli, Silvia Cascianelli, and Umberto Ferraro Petrillo, with Riccardo Ceccaroni and Lorenzo Di Rocco serving as Topic Coordinators. The collection welcomes original contributions that foster collaboration among experts in deep learning, HPC, and data science, tackling the computational challenges of modern computational biology, bioinformatics, and medical research. 📅 𝗗𝗲𝗮𝗱𝗹𝗶𝗻𝗲 𝗳𝗼𝗿 𝘀𝘂𝗺𝗺𝗮𝗿𝘆 𝘀𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻𝘀: 𝗝𝗮𝗻𝘂𝗮𝗿𝘆 𝟯𝟭, 𝟮𝟬𝟮𝟲 🔗 Learn more and contribute: https://lnkd.in/dRr67k3S #HPC #AI #Bioinformatics #Omics #ComputationalBiology #Research #Frontiers #DataScience

Why 𝘛𝘦𝘳𝘢𝘓𝘢𝘣? Our name originates from TeraStat2 (TS2) the general-purpose supercomputing system powering large-scale research in statistics and artificial intelligence at Sapienza Università di Roma. TS2 is optimized for mathematical and statistical processing on Big Data, enabling researchers to develop and execute computationally intensive models efficiently. It is freely available to Sapienza faculty, researchers, PhD students, and research fellows working on high-demand computational projects. 🔗 Learn more: https://lnkd.in/d4_c9xU

📢 New Publication from TeraLab We are happy to share a new work led by Marta Cipriani, just published open access in Statistical Methods and Applications (Springer Nature): “A flexible parametric approach to synthetic patients generation using health data” 🔗 https://lnkd.in/dC5J2NBY The paper proposes a method for generating synthetic survival data using flexible parametric models, with an open-source implementation available in R and Python: 🔗 github.com/ldirocco/fleSSy We are proud that Lorenzo Di Rocco, member of our research group, contributed to this valuable work. #SyntheticData #Biostatistics #SurvivalAnalysis #HPC #TeraLab #Sapienza

We’re proud to share that Riccardo Ceccaroni presented his exploratory study “Graph Neural Networks for Genome Assembly from Noisy Long Reads” at the Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB 2025) conference, held this week at Politecnico di Milano. The study explores the potential of GNNs in addressing the complexity of genome assembly from high-noise long-read data, combining deep learning techniques with graph-based representations. #CIBB2025 #TeraLab #GNN #GenomeAssembly #AI #Bioinformatics #HPC #GraphNeuralNetworks #Sapienza

📢 The CIBB 2025 Conference opens tomorrow in Milan TeraLab will be contributing to the conference with a Special Session titled: "High-Performance Computing for AI-driven Genomics" The session will explore how HPC infrastructures, GPU-accelerated computing, and deep learning techniques are reshaping large-scale genomic data analysis. We look forward to engaging with researchers working at the intersection of AI, bioinformatics, and computational genomics. See you at CIBB 2025 - Computational Intelligence Methods for Bioinformatics and Biostatistics, September 10–12, Politecnico di Milano. 🔗 https://lnkd.in/e9CfBnPd #CIBB2025 #TeraLab #TeraStat #HPC #Genomics #AI #Bioinformatics #GPUcomputing #Sapienza #Supercomputing

🚀 We’re live! Welcome to the official LinkedIn page of TeraLab, the High-Performance Computing (HPC) laboratory of the Dipartimento di Scienze Statistiche - Università di Roma "La Sapienza" We develop advanced computational solutions for research in statistics, artificial intelligence, and bioinformatics, empowering innovation across scientific domains. 🔬 Follow us for: - Updates on our projects and publications - Events, calls and collaborations - Opportunities for students and researchers 💡 Our TeraStat2 supercomputing platform supports Sapienza’s research community at large. ➡️ Learn more about who we are and what we do. #Statistics #AI #Bioinformatics #Sapienza #TeraLab #Supercomputing #HPC