--- title: "Vittorio Zampinetti" description: "Machine Learning · Software Engineering · Maker / Geek" url: https://vitto.zampi.net/ output_format: markdown --- # Vittorio Zampinetti, PhD Machine Learning · Software Engineering · Maker / Geek Researcher and engineer interested in probabilistic models, algorithms and the evolutionary history of cancer cells. I completed my PhD between [Politecnico di Torino](https://www.polito.it/) and [KTH](https://www.kth.se/), working with [Jens Lagergren](https://lagergrenlab.org/). I enjoy turning mathematical ideas into reliable, open software. **Location:** Italy ## Contact - [Email](mailto:vittorio.zampinetti@polito.it) - [GitHub](https://github.com/toyo97) - [LinkedIn](https://www.linkedin.com/in/vzamp/) - [Google Scholar](https://scholar.google.com/citations?user=iW4wb5IAAAAJ) - [CV](https://vitto.zampi.net/files/vittorio-zampinetti-cv.pdf) ## Projects ### [VICTree](https://vitto.zampi.net/#project-victree) Variational inference for joint reconstruction of clonal trees and copy-number evolution from single-cell DNA sequencing data. Tags: machine learning, computational biology Repository: https://github.com/Lagergren-Lab/victree Demo / paper: https://www.biorxiv.org/content/10.1101/2024.02.14.580312v1 ### [TreeSampling](https://vitto.zampi.net/#project-treesampling) Efficient sampling of random spanning arborescences, including directed graphs with low conductance where conventional walks struggle. Tags: algorithms, machine learning Repository: https://github.com/Lagergren-Lab/treesampling Demo / paper: https://doi.org/10.1016/j.spl.2025.110481 ### [Cellmates](https://vitto.zampi.net/#project-cellmates) Single-cell phylogeny reconstruction with evolutionary distances derived directly from copy-number profiles. Tags: computational biology, algorithms Repository: https://github.com/Lagergren-Lab/cellmates ### [Sparse Rooted Neighbor Joining](https://vitto.zampi.net/#project-sparse-rooted-neighbor-joining) A scalable rooted phylogenetic reconstruction method designed for single-cell copy-number data and its known diploid root. Tags: computational biology, algorithms Demo / paper: https://doi.org/10.64898/2026.07.30.739152 ### [Statistical Models in R](https://vitto.zampi.net/#project-statistical-models-r) Open teaching material introducing modern R for statistical analysis, written for the Statistical Models MSc course at Politecnico di Torino. Tags: teaching, software engineering Demo / paper: https://toyo97.github.io/statistical-models-r/ ## Publications ### [Cellmates—Single-Cell Phylogeny Reconstruction with Proper Evolutionary Distances from Copy Numbers](https://vitto.zampi.net/#publication-cellmates) Distance-based single-cell tumour phylogeny reconstruction using evolutionary distances derived from copy-number profiles. Vittorio Zampinetti, Harald Melin, Marzie Abdolhamdi, Jens Lagergren · *bioRxiv preprint* · 2026 Code: https://github.com/Lagergren-Lab/cellmates ### [Scalable and Robust Phylogenetic Tree Reconstruction from Copy-Number Data with Sparse Rooted Neighbor Joining](https://vitto.zampi.net/#publication-srnj) A scalable, root-aware Neighbor Joining method for phylogenetic reconstruction from large copy-number datasets. Vittorio Zampinetti, Harald Melin, Alva Hallin, Jens Lagergren · *bioRxiv* · 2026 DOI: https://doi.org/10.64898/2026.07.30.739152 Publisher: https://www.biorxiv.org/content/early/2026/07/31/2026.07.30.739152 PDF: https://www.biorxiv.org/content/early/2026/07/31/2026.07.30.739152.full.pdf ### [Sampling Random Spanning Arborescences in Graphs with Low Conductance](https://vitto.zampi.net/#publication-tree-sampling) Dynamic-programming-based sampling of random spanning arborescences in low-conductance directed graphs. Vittorio Zampinetti, Harald Melin, Jens Lagergren · *Statistics & Probability Letters* · 2025 DOI: https://doi.org/10.1016/j.spl.2025.110481 Publisher: https://doi.org/10.1016/j.spl.2025.110481 Code: https://github.com/Lagergren-Lab/treesampling ### [VICTree: A Variational Inference Method for Clonal Tree Reconstruction](https://vitto.zampi.net/#publication-victree) Joint Bayesian inference of clonal trees and copy-number evolution with a tree-structured mixture hidden Markov model. Harald Melin, Vittorio Zampinetti, Andrew McPherson, Jens Lagergren · *Research in Computational Molecular Biology (RECOMB)* · 2024 Publisher: https://rdcu.be/dOefj PDF: https://www.biorxiv.org/content/10.1101/2024.02.14.580312v1.full.pdf Code: https://github.com/Lagergren-Lab/victree ## Blog ### [Single-Cell Tumor Phylogenetics](https://vitto.zampi.net/blog/single-cell-tumor-phylogenetics/) A short note on defending my PhD thesis and closing an important research chapter. Published 18 September 2026 · research, computational biology ### [Cellmates at Bertinoro 2026](https://vitto.zampi.net/blog/bertinoro-2026/) Presenting the final Cellmates results at the Bertinoro Computational Biology Meeting. Published 7 September 2026 · research, conferences ### [Sampling Arborescences, Published](https://vitto.zampi.net/blog/tree-sampling-published/) Our article on sampling random spanning arborescences is now available as open access. Published 2 June 2025 · research, algorithms, publications ### [Work in Progress at Bertinoro](https://vitto.zampi.net/blog/bertinoro-2024/) Early Cellmates work and a week of computational biology talks in Bertinoro. Published 16 September 2024 · research, conferences ### [Presenting VICTree in Bari](https://vitto.zampi.net/blog/victree-sis-2024/) A presentation on variational inference for clonal tree reconstruction at SIS 2024. Published 20 June 2024 · research, conferences ### [VICTree at RECOMB 2024](https://vitto.zampi.net/blog/victree-recomb-2024/) Presenting our variational-inference work at RECOMB in Boston. Published 29 April 2024 · research, conferences ## Rights and agent access Public content may be retrieved, indexed, cited and summarised. Training or fine-tuning generative AI models on original site text or images is not permitted without explicit permission. Read the [full content and AI use policy](https://vitto.zampi.net/content-policy/).