Team

The CDS Lab lab is based in Trieste, but some members are physically located across other institutes and, in that case, co-supervised with other PIs.

2021 Lab retreat. Passo del Pura.(Riccardo, Salvatore, Alice, Giulio, Nicola)

2022 Lab lunch. Venice.(Riccardo, Giulio, Nicola)

2022 Lab dinner. Trieste.(Nic, Alice, Ric, Elena, Giulio, Salvatore)

2022 Genomics England Research Summit (Giulio)

2022 Lab meeting epiphany (Giulio)

2023 Off work. Alps (Nicola, Riccardo, Giovanni, Lucrezia, Elena, Clara, Lucrezia, Alice)

2023 Project meeting. Bormio. (Lucrezia, Giulio, Salvatore)

Principal Investigator

Prof. Giulio Caravagna, PhD

Current positions

Associate Professor. Department of Mathematics and Geosciences, University of Trieste.
Core Faculty, PhD program in Applied Data Science & Artificial Intelligence, University of Trieste.
Adjoint Faculty, PhD program in Theoretical and Scientific Data Science, SISSA.
Honorary fellow, The Institute of Cancer Research, UK.

Training:

2017-20, The Institute of Cancer Research, UK. With Andrea Sottoriva.
2015-17, University of Edinburgh, UK. With Guido Sanguinetti.
2011-15, University of Milan-Bicocca, Italy. With Giancarlo Mauri and Marco Antoniotti.
2011, PhD in Computer Science (University of Pisa, Italy).
BSc, MSc in Computer Science (University of Pisa, Italy).

Postdoctoral scientists

Dr. Riccardo Bergamin, PhD (since 2020)

Training:

2020, PhD in Theoretical Physics (SISSA, Italy).
MSc in Physics (University of Padova, Italy);
BSc in Physics (University of Padova, Italy);

Topic: mathematical modelling and inference for evolutionary processes.

Dr. Nicola Calonaci, PhD (since 2021)

Training:

2021. PhD in Physics and Chemistry of Biological Systems (SISSA, Italy).
MSc in Physics (University of Pisa, Italy);
BSc in Physics (University of Pisa, Italy);

Topic: Artificial Intelligence for clonal evolution under therapy.

PhD students

Dr. Alice Antonello (2022-25)

Applied Data Science & Artificial Intelligence PhD program (University of Trieste, Italy).
Training:

MSc in Quantitative and Computational Biology (University of Trento, Italy);
BSc in Biotechnology (University of Turin, Italy);

Topic: Bayesian models for aneuploidy from whole-genome sequencing.

Dr. Salvatore Milite (2022-26)

Computational Biology PhD Program (European School of Molecular Medicine, Italy). Co-mentored with Andrea Sottoriva (Human Technopole).
Training:

MSc in Data Science and Scientific Computing (University of Trieste, Italy);
BSc in Molecular Biology (University of Padua, Italy);

Topic: statistical methods for longitudinal single cell sequencing.

Dr. Arianna Tasciotti (2022-25)

Applied Data Science & Artificial Intelligence PhD program (University of Trieste, Italy). Sponsored by an industrial fellowship from Plus, she joined midway her second year. Co-supervised with Alberto d'Onofrio.

Training:

MSc in Data Science and Scientific Computing (University of Trieste, Italy);
BSc in Physics (University of Trieste, Italy);

Topic: inference of latent dynamical systems from time-series data.

Dr. Elena Buscaroli (2023-26)

Applied Data Science & Artificial Intelligence PhD program (University of Trieste, Italy).
Training:

MSc in Data Science and Scientific Computing (University of Trieste, Italy);
BSc in Genetics (University of Bologna, Italy);

Topic: statistical models for high-resolution image demultiplexing.

Dr. Katsiaryna Davidenska (2023-26)

National PhD program in Artificial Intelligence (hosted at SISSA, Italy). Co-supervised with Guido Sanguinetti (SISSA).
Training:

BSc in Medical ecology (International Sakharov Environmental Institute, Belarus);
MSc in Food and Beverage Innovation and Management (Marche Polytechnic University, Italy);
Master of II level in Bioinformatics and Data Science (University of Siena, Italy);

Topic: TBD.

Dr. Giovanni Santacatterina (2023-26)

Applied Data Science & Artificial Intelligence PhD program (University of Trieste, Italy). Co-supervised with Leonardo Egidi.

Training:

MSc in Data Science and Scientific Computing (University of Trieste, Italy);
BSc in Physics (University of Trento, Italy);

Topic: model-based statistical methods for single-cell data analysis.

Dr. Lucrezia Valeriani (2023-26)

Applied Data Science & Artificial Intelligence PhD program (University of Trieste, Italy). Co-supervised with Alberto Cazzaniga and Alessio Ansuini (Area Science Park).
Training:

MSc in Data Science and Scientific Computing (University of Trieste, Italy);
BSc in Genetics (University of Bologna, Italy);

Topic: statistical methods for long-reads sequencing.

Master students

Azad Sadr (2022)

Program: MSc Data Science and Scientific Computing.
Topic (MSc thesis): Bayesian mutational signatures from whole-genome sequencing data.
Co-supervised with Riccardo Bergamin.

Lorenzo Taroni (2023)

Program: MSc Data Science and Scientific Computing.
Topic (MSc thesis): variational autoencoders for single-cell gene-set enrichment analysis
Co-supervised with Lucrezia Valeriani and Salvatore Limite..

Clara Canavese (2023)

Program: MSc Physics of Complex Systems (University of Turin).
Topic (MSc thesis): stochastic processes for clonal evolution in cancer
Co-supervised with Riccardo Bergamin.

Bachelor students

Edoardo Insaghi (2023)

Program: BSc Statistics
Topic (BSc thesis): variational generalised linear models for differential expression.
Co-supervised with Giovanni Santacatterina and Leonardo Egidi.

Alumni

Lucrezia Patruno (2020-23). PhD student co-supervised with Marco Antoniotti and Alex Graudenzi, then postdoc at University College London.