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Giulia Guidi
About
Giulia Guidi is an Assistant Professor of Computer Science at Cornell University: https://giuliaguidi.github.io/
She received her PhD in Computer Science at UC Berkeley and was a graduate research assistant at the Computational Research Division of Lawrence Berkeley National Laboratory advised by Aydın Buluç and Kathy Yelick. Giulia is a 2020 SIGHPC Computational & Data Science Fellow. Giulia received both her Master's in Biomedical Engineering (2018) and her Bachelor's in Biomedical Engineering (2016) at Politecnico di Milano. Her work is in the area of computer systems research, including cloud and parallel computing, and she is interested in building a collaborative interdisciplinary research program. Giulia is currently working on the challenges of large-scale computational biology, as well as the algorithms and software infrastructures that meet the usability and performance demand of this community. Currently, she is developing a novel algorithm for de novo assembly of genomes in distributed memory using long-read sequencing data and sparse matrix abstraction as part of the ExaBiome project. Giulia is also working on how to make cloud computing more accessible for high-performance scientific computing.
Current Project
Software
Journal Articles
Katherine Yelick, Aydın Buluç, Muaaz Awan, Ariful Azad, Benjamin Brock, Rob Egan, Saliya Ekanayake, Marquita Ellis, Evangelos Georganas, Giulia Guidi, Steven Hofmeyr, Oguz Selvitopi, Cristina Teodoropol, Leonid Oliker, "The parallelism motifs of genomic data analysis", Philosophical Transactions of The Royal Society A: Mathematical, Physical and Engineering Sciences, 2020,
Conference Papers
Giulia Guidi, Marquita Ellis, Daniel Rokhsar, Katherine Yelick, Aydın Buluç, "BELLA: Berkeley Efficient Long-Read to Long-Read Aligner and Overlapper", SIAM Conference on Applied and Computational Discrete Algorithms (ACDA21), 2021, doi: 10.1101/464420
G Guidi, M Ellis, A Buluç, K Yelick, D Culler, "10 years later: Cloud computing is closing the performance gap", ICPE 2021 - Companion of the ACM/SPEC International Conference on Performance Engineering, January 1, 2021, 41--48, doi: 10.1145/3447545.3451183
Oguz Selvitopi*, Saliya Ekanayake*, Giulia Guidi, Georgios Pavlopoulos, Ariful Azad, Aydın Buluç, "Distributed Many-to-Many Protein Sequence Alignment Using Sparse Matrices", Proceedings of the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC’20)., 2020,
(*:joint first authors)
