Computational methods for understanding complexity of BIOLOGICAL SYSTEMS


What makes SysBio Group a leading research team in the international research community?
Go to Publications


All SysBio publications are available through PORTO, the Open Repository of publications produced by the scientific community of Politecnico di Torino.

Go to Funded project

Funded project

We are involved in several national and international collaborative research projects co-funded by the European Commission or by national research fundings.

Go to Partners


We actively collaborate with international academic and industrial partners. Learn more about companies and research institutions collaborating with us.

Go to Tools and downloads

Tools and downloads

As computer scientists we are highly committed to Open Source. Most of our developed code is released under Open Source licenses and is available on this website for free download.


Welcome to the Systems Biology Research Group at the Department of Control and Computer Engineering of Politecnico di Torino.
Systems Biology is all about collaboration

We study the complexity of cellular life using experimental and computational methods that span the genome to the phenotype. Developing, integrating, and applying new methods allow us to gain a systems view of life from bacteria to human.

Why Systems Biology

Systems biology has ushered in the future of research. Systems Biology embraces biological complexity and fearlessly sets about deciphering vast amounts of data in order to gain valuable insights and achieve breakthroughs across scientific disciplines.

Why Get Involved

The only true limits to progress are whether we have a critical mass of the right people engaged in our science, a critical mass of the right collaborators, and a critical mass of the funding required to scale our work across the range of human health and environmental challenges.

  • Modeling, simulation and analysis of complex biological networks

  • Integration and analysis of complex datasets

  • Application of complex machine learning techniques to personalized and system medicine cases

  • Analysis of medical and biological images for computer aided diagnosis.


We are a very dynamic team including well experienced faculty members, high skilled Post Doctoral fellows and young and strongly motivated MS and Ph.D students.

Alfredo Benso

Associate Professor (Group leader)
His research contributions include Systems and Computational Biology. He scientifically collaborates with universities and industry on a worldwide basis.

Stefano Di Carlo

Associate professor
His research contributions include biological network analysis and simulation, machine learning, image processing and evolutionary algorithms.

Gabriella Olmo

Associate Professor

Alessandro Savino

Assistant Professor
His research contributions include Image Analysis, machine learning and evolutionary algorithms.

Gianfranco Politano

Assistant Professor
His research contributions include complex biological networks analysis, data fusion, statistical data analysis.

Roberta Bardini

Ph.D. Student
She is a Ph.D. student at Department of Control and Computer Engineering of Politecnico di Torino under the supervision of prof. Alfredo Benso. Her research focuses on the use of networks to simulate biological organisms.

Francesco Rossi

Ph.D. Student
He is a Ph.D. student at Department of Control and Computer Engineering of Politecnico di Torino under the supervision of prof. Alfredo Benso. His research focuses on the use deep learning techniques for image analysis and recognition.

Flavia Muggiano

M.Sc. Student.
She is a M.Sc. student working on the Heart VdA Project.

Varrecchia Marilena

Research assistant

Former members

Several people have contributed to build our group as it is today.
Without the support of strongly motivated MS / Ph.D. students and Post. Docs we would not have been able to achieve the results we reached over the years. Several of our former colleagues built an outstanding career either in other universities or top level enterprises. Read more

Latest posts

Check out our latest works and accomplishments.