UnihiveZeyon

Prof. Pietro Liò, MAE

彼得羅·利奧 教授

University of Cambridge
PP

職位

Professor of Computational Biology, Department of Computer Science and Technology, University of Cambridge

劍橋大學電腦科學與技術系計算生物學教授

所屬機構

Member, Artificial Intelligence Group, University of Cambridge · 劍橋大學人工智慧小組成員 · Member, Cambridge Centre for AI in Medicine · 劍橋大學醫學人工智慧中心成員 · Fellow, Clare Hall College, University of Cambridge · 劍橋大學克萊爾霍學院院士 · Member of the Academia Europaea · 歐洲人文和自然科學院院士

研究興趣

機器學習人工智慧計算生物學
個人簡介
Pietro Liò是劍橋大學電腦科學與技術系計算生物學教授、歐洲科學院院士、克萊爾霍爾學院院士，他深耕人工智慧與計算生物學交叉領域。他擁有義大利佛羅倫斯大學複雜系統與非線性動力學博士、帕維亞大學基因組科學博士雙學位。作為劍橋大學人工智慧研究組成員，他核心研究聚焦AI與計算生物學模型開發，旨在解析疾病複雜性、推動精准醫療發展，當前重點深耕圖神經網路（GNN）建模及生物醫學數字孿生技術。 其學術影響力卓著，成果發表於《Nature》《Cell》等頂級期刊及ICML、NIPS等國際頂會。他斬獲多項權威獎項，包括曼徹斯特圖靈100強論文獎、ISEM會議最佳論文一等獎、拉格朗日獎金等，彰顯研究的開創性價值。Pietro Liò 教授同時承擔教學與人才培養工作，在劍橋講授生物資訊演算法、圖神經網路等本研課程，牽頭青少年科研項目，推動跨學科人才培育。他還積極參與學術交流，曾赴華南理工大學、上海交通大學等高校開展前沿講座，其研究不僅兼具學術深度與臨床轉化潛力，更在全球範圍內推動AI與生命科學的融合發展。
出版物

  • Bayesian Binary Search Algorithms

    Singh, V., Khanzadeh, M., Davis, V., Rush, H., Rossi, E., Shrader, J. and Liò, P. (2025). Algorithms, v. 18.

    https://doi.org/10.3390/a18080452

  • Sheaf4Rec: Sheaf Neural Networks for Graph-based Recommender Systems

    Purificato, A., Cassarà, G., Siciliano, F., Liò, P. and Silvestri, F. (2025). ACM Transactions on Recommender Systems.

    https://doi.org/10.1145/3742898

  • A Systematic Review on the Integrating Artificial Intelligence for Enhanced Fault Detection in Power Transmission Systems: A Smart Grid Approach

    Taghizad, N. and Liò, P. (2025). Computing & AI Connect, v. 2.

    https://doi.org/10.69709/caic.2024.103229

  • Integrating Probabilistic Trees and Causal Networks for Clinical and Epidemiological Data

    Zahoor, S., Liò, P., Dias, G. and Hasanuzzaman, M. (2025). CoRR, v. abs/2501.15973.

  • A Systematic Review of Heart Sound Detection Algorithms: Experimental Results and Insights

    Bi, X., Tang, S., Xiao, B., Li, W., Gao, X. and Liò, P. (2025). IEEE Transactions on Instrumentation and Measurement, v. 74.

    https://doi.org/10.1109/TIM.2025.3547082

  • Using AI explainable models and handwriting/drawing tasks for psychological well-being

    Prinzi, F., Barbiero, P., Greco, C., Amorese, T., Cordasco, G., Liò, P., Vitabile, S. and Esposito, A. (2025). Information Systems, v. 127.

    https://doi.org/10.1016/j.is.2024.102465

  • Learning and actioning general principles of cancer cell drug sensitivity

    Carli, F., Di Chiaro, P., Morelli, M., Arora, C., Bisceglia, L., ... & Liò, P. (2025). Nature Communications, v. 16.

    https://doi.org/10.1038/s41467-025-56827-5

  • An end-to-end attention-based approach for learning on graphs

    Buterez, D., Janet, J.P., Oglic, D. and Liò, P. (2025). Nature Communications, v. 16.

    https://doi.org/10.1038/s41467-025-60252-z