Where our direction begins, and scientific insights become real-world impact.
Our Mission
Our Mission
We are redefining genomic analysis with a
cutting-edge, graph-based platform that empowers population genomics at scale, delivering decision-ready insights with unmatched efficiency and usability.
Our Vision
Our Vision
We aim to make genomics an accessible tool for progress, transforming complex data into clear, actionable knowledge for everyone, accelerating discovery and delivering tangible benefits across life sciences, industry, and society.
Our values are rooted in our people, guided by our clients, and driven by the impact we strive to create together.
Innovation
We drive scientific progress by enabling faster, clearer, and more informed genomic discovery through advanced, high-performance technology.
Efficiency
We streamline analysis by reducing friction and accelerating workflows, delivering high-value insights with speed and scale.
Reliability
Trust comes from outcomes. Every interaction delivers high-quality results that set a new standard and support confident, evidence-based decisions.
Customer Centricity
Built around real user needs, our customer-centric approach ensures tailored solutions and continuous support, delivering real and lasting value.
Founder
Founder
Founder
Meet the founders
Guido Walter Di Donato
Chief Executive Officer
Guido is the creator of the technology behind GenoGra’s platform and serves as CEO. After graduating with honors in Biomedical Engineering at Politecnico di Milano and Bioengineering at the UIC, Guido completed his Ph.D. in Computer Science and Engineering in collaboration with Oracle Labs. Involved in research activities since 2016, he has gained experience in computational genomics and high-performance graph analysis, and is the author of 20+ international publications and two patents. Guido has 8 years of experience in team and project management, gained during his work at NECSTLab, UIC, and Lawrence Berkeley National Laboratory. Passionate about innovation and the dramatic arts, over the years, he has developed a range of essential “hard” and “soft” skills for an entrepreneur in the deep-tech field.
Guido Walter Di Donato
Chief Executive Officer
Guido is the creator of the technology behind GenoGra’s platform and serves as CEO. After graduating with honors in Biomedical Engineering at Politecnico di Milano and Bioengineering at the UIC, Guido completed his Ph.D. in Computer Science and Engineering in collaboration with Oracle Labs. Involved in research activities since 2016, he has gained experience in computational genomics and high-performance graph analysis, and is the author of 20+ international publications and two patents. Guido has 8 years of experience in team and project management, gained during his work at NECSTLab, UIC, and Lawrence Berkeley National Laboratory. Passionate about innovation and the dramatic arts, over the years, he has developed a range of essential “hard” and “soft” skills for an entrepreneur in the deep-tech field.
Guido Walter Di Donato
Chief Executive Officer
Guido is the creator of the technology behind GenoGra’s platform and serves as CEO. After graduating with honors in Biomedical Engineering at Politecnico di Milano and Bioengineering at the UIC, Guido completed his Ph.D. in Computer Science and Engineering in collaboration with Oracle Labs. Involved in research activities since 2016, he has gained experience in computational genomics and high-performance graph analysis, and is the author of 20+ international publications and two patents. Guido has 8 years of experience in team and project management, gained during his work at NECSTLab, UIC, and Lawrence Berkeley National Laboratory. Passionate about innovation and the dramatic arts, over the years, he has developed a range of essential “hard” and “soft” skills for an entrepreneur in the deep-tech field.
Guglielmo Bruno
Chief Technology Officer
Guglielmo studied Biomedical Engineering at Politecnico di Milano and spent two years in research focused on bioinformatics and pangenomics, with a particular emphasis on graph-based genomic analysis. Passionate about biology and emerging genomic technologies, he leads a team of talented developers in shaping GenoGra’s core product and driving the integration of innovative workflows that leverage pangenomics to unlock new study possibilities. He is highly committed to offering a platform with outstanding capabilities and performance but still intuitive and user-friendly, making advanced genomic tools accessible to an ever-growing community.
Guglielmo Bruno
Chief Technology Officer
Guglielmo studied Biomedical Engineering at Politecnico di Milano and spent two years in research focused on bioinformatics and pangenomics, with a particular emphasis on graph-based genomic analysis. Passionate about biology and emerging genomic technologies, he leads a team of talented developers in shaping GenoGra’s core product and driving the integration of innovative workflows that leverage pangenomics to unlock new study possibilities. He is highly committed to offering a platform with outstanding capabilities and performance but still intuitive and user-friendly, making advanced genomic tools accessible to an ever-growing community.
Guglielmo Bruno
Chief Technology Officer
Guglielmo studied Biomedical Engineering at Politecnico di Milano and spent two years in research focused on bioinformatics and pangenomics, with a particular emphasis on graph-based genomic analysis. Passionate about biology and emerging genomic technologies, he leads a team of talented developers in shaping GenoGra’s core product and driving the integration of innovative workflows that leverage pangenomics to unlock new study possibilities. He is highly committed to offering a platform with outstanding capabilities and performance but still intuitive and user-friendly, making advanced genomic tools accessible to an ever-growing community.
Alessandro Vingione
Chief Operating Officer
Alessandro leads GenoGra’s commercial strategy, company finance, cash management, and grant applications, while also serving on the board. He holds a Bachelor’s and Master’s in Management with a major in Corporate Finance from Bocconi University, where his thesis explored the genomics market. Joining GenoGra early, before revenue, product, or investors, he helped shape the company’s business foundations and strategic direction. Before GenoGra, his client-facing role at Jakala exposed him to diverse industries and executive-level stakeholders, experience he now leverages to support GenoGra’s highly technical team with a clear business perspective.
Alessandro Vingione
Chief Operating Officer
Alessandro leads GenoGra’s commercial strategy, company finance, cash management, and grant applications, while also serving on the board. He holds a Bachelor’s and Master’s in Management with a major in Corporate Finance from Bocconi University, where his thesis explored the genomics market. Joining GenoGra early, before revenue, product, or investors, he helped shape the company’s business foundations and strategic direction. Before GenoGra, his client-facing role at Jakala exposed him to diverse industries and executive-level stakeholders, experience he now leverages to support GenoGra’s highly technical team with a clear business perspective.
Alessandro Vingione
Chief Operating Officer
Alessandro leads GenoGra’s commercial strategy, company finance, cash management, and grant applications, while also serving on the board. He holds a Bachelor’s and Master’s in Management with a major in Corporate Finance from Bocconi University, where his thesis explored the genomics market. Joining GenoGra early, before revenue, product, or investors, he helped shape the company’s business foundations and strategic direction. Before GenoGra, his client-facing role at Jakala exposed him to diverse industries and executive-level stakeholders, experience he now leverages to support GenoGra’s highly technical team with a clear business perspective.
Mirko Coggi
Chief Research Officer
Mirko graduated in Biomedical Engineering from Politecnico Di Milano and is a Ph.D. candidate in Computer Science and Engineering at Politecnico di Milano. His Ph.D. focused on developing new and ad hoc protection and valorization strategies for inventions in the IT domain, with a particular emphasis on graph-based computational genomics. An active member of the R&D team since the idea’s inception, he has about five and a half years of experience in accelerating graph-based genomic computations and is the author of 4 international publications and two patent applications. Mirko is committed to defining GenoGra’s research directions and protecting novel IP with proper strategies.
Mirko Coggi
Chief Research Officer
Mirko graduated in Biomedical Engineering from Politecnico Di Milano and is a Ph.D. candidate in Computer Science and Engineering at Politecnico di Milano. His Ph.D. focused on developing new and ad hoc protection and valorization strategies for inventions in the IT domain, with a particular emphasis on graph-based computational genomics. An active member of the R&D team since the idea’s inception, he has about five and a half years of experience in accelerating graph-based genomic computations and is the author of 4 international publications and two patent applications. Mirko is committed to defining GenoGra’s research directions and protecting novel IP with proper strategies.
Mirko Coggi
Chief Research Officer
Mirko graduated in Biomedical Engineering from Politecnico Di Milano and is a Ph.D. candidate in Computer Science and Engineering at Politecnico di Milano. His Ph.D. focused on developing new and ad hoc protection and valorization strategies for inventions in the IT domain, with a particular emphasis on graph-based computational genomics. An active member of the R&D team since the idea’s inception, he has about five and a half years of experience in accelerating graph-based genomic computations and is the author of 4 international publications and two patent applications. Mirko is committed to defining GenoGra’s research directions and protecting novel IP with proper strategies.
Alberto Zeni
HPC Expert
Alberto graduated in Computer Engineering and completed his Ph.D. in Computer Science and Engineering at Politecnico di Milano. His research focuses on developing methodologies and tools for accelerating genomic computations through heterogeneous systems with multiple hardware accelerators (GPUs and FPGAs). Engaged in research since 2017, he is the author of 15+ international publications (h-index of 8) and five patent applications. Alberto has 8 years of experience in accelerating genomic processes on heterogeneous computational architectures and 6 years of experience in team and project management, developed during his work at NECSTLab, LBNL, AMD Xilinx, NVIDIA, MIT, Dana-Farber Cancer Institute, and Meta - where he now serves as AI/HPC Systems Research Scientist.
Alberto Zeni
HPC Expert
Alberto graduated in Computer Engineering and completed his Ph.D. in Computer Science and Engineering at Politecnico di Milano. His research focuses on developing methodologies and tools for accelerating genomic computations through heterogeneous systems with multiple hardware accelerators (GPUs and FPGAs). Engaged in research since 2017, he is the author of 15+ international publications (h-index of 8) and five patent applications. Alberto has 8 years of experience in accelerating genomic processes on heterogeneous computational architectures and 6 years of experience in team and project management, developed during his work at NECSTLab, LBNL, AMD Xilinx, NVIDIA, MIT, Dana-Farber Cancer Institute, and Meta - where he now serves as AI/HPC Systems Research Scientist.
Alberto Zeni
HPC Expert
Alberto graduated in Computer Engineering and completed his Ph.D. in Computer Science and Engineering at Politecnico di Milano. His research focuses on developing methodologies and tools for accelerating genomic computations through heterogeneous systems with multiple hardware accelerators (GPUs and FPGAs). Engaged in research since 2017, he is the author of 15+ international publications (h-index of 8) and five patent applications. Alberto has 8 years of experience in accelerating genomic processes on heterogeneous computational architectures and 6 years of experience in team and project management, developed during his work at NECSTLab, LBNL, AMD Xilinx, NVIDIA, MIT, Dana-Farber Cancer Institute, and Meta - where he now serves as AI/HPC Systems Research Scientist.
Marco Domenico Santambrogio
Scientific Advisor
Marco is a full professor of Computer Science at Politecnico Di Milano, specialized in high-performance computer architectures. Author of 400+ international publications and 10+ patent applications, Marco has 20+ years of experience in high-performance computer architectures and team and project management, developed during his work at the Politecnico di Milano, UIC, Northwestern University, and Massachusetts Institute of Technology. Head of NECSTLab and a serial deep-tech entrepreneur, he is a strategic asset for GenoGra both in training and onboarding highly specialized young professionals in the field of high-performance genomics, and in networking, thanks to a dense network of contacts in the academic and industrial worlds.
Marco Domenico Santambrogio
Scientific Advisor
Marco is a full professor of Computer Science at Politecnico Di Milano, specialized in high-performance computer architectures. Author of 400+ international publications and 10+ patent applications, Marco has 20+ years of experience in high-performance computer architectures and team and project management, developed during his work at the Politecnico di Milano, UIC, Northwestern University, and Massachusetts Institute of Technology. Head of NECSTLab and a serial deep-tech entrepreneur, he is a strategic asset for GenoGra both in training and onboarding highly specialized young professionals in the field of high-performance genomics, and in networking, thanks to a dense network of contacts in the academic and industrial worlds.
Marco Domenico Santambrogio
Scientific Advisor
Marco is a full professor of Computer Science at Politecnico Di Milano, specialized in high-performance computer architectures. Author of 400+ international publications and 10+ patent applications, Marco has 20+ years of experience in high-performance computer architectures and team and project management, developed during his work at the Politecnico di Milano, UIC, Northwestern University, and Massachusetts Institute of Technology. Head of NECSTLab and a serial deep-tech entrepreneur, he is a strategic asset for GenoGra both in training and onboarding highly specialized young professionals in the field of high-performance genomics, and in networking, thanks to a dense network of contacts in the academic and industrial worlds.
Our Team
Our Team
Our Team
Meet the team
Daniele Casciani
Full Stack Developer
Daniele contributes to the design and development of the company's software platform. He holds an M.Sc. in Computer Science and Engineering from the Politecnico di Milano and has a solid background in software engineering practices, with a keen interest in emerging technologies.
Daniele Casciani
Full Stack Developer
Daniele contributes to the design and development of the company's software platform. He holds an M.Sc. in Computer Science and Engineering from the Politecnico di Milano and has a solid background in software engineering practices, with a keen interest in emerging technologies.
Daniele Casciani
Full Stack Developer
Daniele contributes to the design and development of the company's software platform. He holds an M.Sc. in Computer Science and Engineering from the Politecnico di Milano and has a solid background in software engineering practices, with a keen interest in emerging technologies.
Sofia Sisti
Bioinformatic Product Specialist
Sofia brings a strong background in biotechnology and molecular research. She earned her PhD in Clinical and Experimental Medicine from Università "Vita-Salute" San Raffaele and gained research experience applying omics technologies, molecular profiling, and biological data interpretation to address complex scientific questions.
Sofia Sisti
Bioinformatic Product Specialist
Sofia brings a strong background in biotechnology and molecular research. She earned her PhD in Clinical and Experimental Medicine from Università "Vita-Salute" San Raffaele and gained research experience applying omics technologies, molecular profiling, and biological data interpretation to address complex scientific questions.
Sofia Sisti
Bioinformatic Product Specialist
Sofia brings a strong background in biotechnology and molecular research. She earned her PhD in Clinical and Experimental Medicine from Università "Vita-Salute" San Raffaele and gained research experience applying omics technologies, molecular profiling, and biological data interpretation to address complex scientific questions.
Join GenoGra
Join GenoGra
Join GenoGra
We’re building something that changes how genomics moves forward. Want in?
Why join GenoGra?
Build meaningful solutions to real scientific challenges.
Learn fast and see your work matter, with immediate impact on how discoveries are made.
Grow within a multidisciplinary team that values curiosity, ownership, and creativity.
Contribute to a mission advancing the frontiers of genomic research.
AVVISO PUBBLICO
AVVISO PUBBLICO
AVVISO PUBBLICO
Pre Seed Plus 2022
Programma Regionale FESR Lazio 2021 – 2027
GenoGra has been awarded funding under the Regional ERDF (European Regional Development Fund) program.
This support will equips the company with the resources to finalize the development of its software platform, define and implement its go-to-market strategy, and strengthen its marketing and communication capabilities. The project also includes the achievement of internationally recognized ISO quality certifications.
Through this 12-month initiative, GenoGra is laying the foundations for the official market launch of its product, consolidating its technological and organizational growth path.
Supported by
OUR SUPPORTERS
Supported by
OUR SUPPORTERS
Supported by
OUR SUPPORTERS
Experience a new standard in genomic interpretation.
Experience a new standard in genomic interpretation.