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Andrea Tangherloni

Tangherloni
Department of Computing Sciences
Assistant Professor
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Bio

I am an Assistant Professor in the new Department of Computing Sciences at Bocconi University. I received my Bachelor’s, Master’s, and PhD Degrees in Computer Science from the University of Milano-Bicocca in 2013, 2015, and 2019, respectively. I spent different months abroad as a PhD visiting student at the Department of Cancer Biology (Vanderbilt University, Nashville, TN, USA) and the Computer Laboratory (University of Cambridge). From November 2018 to November 2020, I was a Research Associate at the Department of Haematology of the University of Cambridge and Wellcome Trust – Medical Research Council Cambridge Stem Cell Institute. In addition, I was a visiting worker at the Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus. From December 2020 to November 2022, I was a Postdoctoral Research Fellow at the Department of Human and Social Sciences of the University of Bergamo. From December 2022 to August 2023, I was a Postdoctoral Research Fellow at the Bocconi Institute for Data Science and Analytics (BIDSA) and the Department of Computing Sciences of Bocconi University

Research Interests

My research bridges the areas of Computational Biology, Bioinformatics, and Artificial Intelligence (AI) to tackle complex and computationally intensive problems in biology and medicine. The overarching goal of my research is to propose AI-based approaches and tools that can help increase our knowledge about the processes that drive both cell development and the progression of different pathologies, to move another step toward personalized and regenerative medicine.

Thus, my main scientific interests include Machine Learning, Computational Intelligence, High-Performance Computing, Computational Biology, and Bioinformatics.

Publications

MAGNETO: cell type marker panel generator from single-cell transcriptomic data
JOURNAL OF BIOMEDICAL INFORMATICS, 2023
Consensus clustering strategy for cell type assignments of scRNA-seq data
2023 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2023
Multi-objective optimization for marker panel Identification in single-cell data
2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2022
A deep learning pipeline for the automatic cell type assignment of scRNA-seq data
2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2022
Integration of multiple scRNA-Seq datasets on the autoencoder latent space
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021
Analysis of single-cell RNA sequencing data based on autoencoders
BMC BIOINFORMATICS, 2021
Integrative single-cell RNA-seq and ATAC-seq analysis of human developmental hematopoiesis
CELL STEM CELL, 2021
FiCoS: a fine-grained and coarse-grained GPU-powered deterministic simulator for biochemical networks
PLOS COMPUTATIONAL BIOLOGY, 2021
MedGA: a novel evolutionary method for image enhancement in medical imaging systems
EXPERT SYSTEMS WITH APPLICATIONS, 2019
GenHap: a novel computational method based on genetic algorithms for haplotype assembly
BMC BIOINFORMATICS, 2019
Biochemical parameter estimation vs. benchmark functions: a comparative study of optimization performance and representation design
APPLIED SOFT COMPUTING, 2019
LASSIE: simulating large-scale models of biochemical systems on GPUs
BMC BIOINFORMATICS, 2017