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Giulia Guidi

Giulia Guidi
Graduate Student Research Assistant
Phone: +1 (510) 833 5070
LBNL Office: 59-4026A


Giulia Guidi is a Ph.D. student in Computer Science at UC Berkeley and a graduate research assistant at the Computational Research Division of Lawrence Berkeley National Laboratory advised by Aydın Buluç and Kathy Yelick. Giulia's research is focused on the development of a novel algorithm to de novo assemble genomes using long-read sequencing data. She is collaborating with Marquita Ellis on distributed memory parallelization of her algorithm. She received an M.Sc. in Biomedical Engineering (2018) and a B.Sc. (2016) in Biomedical Engineering at Politecnico di Milano. Her research interests are Parallel Computing, Computational Genomics, and Applied Mathematics.

» Visit Giulia Guidi's personal web page for more information.

Current Project


Journal Articles

Giulia Guidi, Marquita Ellis, Daniel Rokhsar, Katherine Yelick, Aydın Buluç, "BELLA: Berkeley Efficient Long-Read to Long-Read Aligner and Overlapper (Preprint)", Submitted, 2018, doi:

Conference Papers

Marquita Ellis, Giulia Guidi, Aydın Buluç, Leonid Oliker, Katherine Yelick, "diBELLA: Distributed Long Read to Long Read Alignment", 48th International Conference on Parallel Processing (ICPP), June 25, 2019,

Lorenzo Di Tucci, Giulia Guidi, Sara Notargiacomo, Luca Cerina, Alberto Scolari, Marco D. Santambrogio, "HUGenomics: A Support to Personalized Medicine Research", 2017 IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI), October 12, 2017,

Giulia Guidi, Lorenzo Di Tucci, Marco D. Santambrogio, "ProFAX: a Hardware Acceleration of a Protein Folding Algorithm", 2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI), November 14, 2016,

Giulia Guidi, Enrico Reggiani, Lorenzo Di Tucci, Gianluca Durelli, Michaela Blott, Marco D. Santambrogio, "On How to Improve FPGA-Based Systems Design Productivity via SDAccel", 2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), August 4, 2016,