Giulia Guidi

PhD student in computer science at UC Berkeley.

584-2

Soda Hall, UC Berkeley

Berkeley, CA, USA 94720

Giulia is a PhD 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 is a 2020 SIGHPC Computational & Data Science Fellow and a member of the PASSION Lab, the BeBOp Group, and the Performance and Algorithms Research (PAR) Group. She received her M.Sc. and B.Sc. in Biomedical Engineering from Politecnico di Milano. Giulia’s research focuses on developing a novel algorithm for de novo assembly of genomes in distributed memory using long read sequencing data as part of the ExaBiome project and on how to make cloud computing more accessible for high performance scientific computing. Giulia is interested in the intersection of High-Performance Computing (HPC) and Computational Biology as enabling technologies for faster, high-quality bioinformatics and biomedical research.

Here’s a recent CV.

news

Feb 11, 2021 I had the opportunity to present the tutorial Intro to AWS and AWS for HPC Tutorial at the Center for Computational Biology.
Dec 8, 2020 Our latest paper “10 Years Later: Cloud Computing is Closing the Performance Gap” has been featured in HPCwire.
Nov 3, 2020 I’m very proud to be co-chair for the Equal Access to Application Assistance Program (EAAA) at UC Berkeley.
Jul 31, 2020 I’m happy to annouce that I have been selected as 2020 SIGHPC Computational & Data Science Fellow.
Jul 16, 2019 I had the opportunity to participate to the Gene Golub SIAM Summer School 2019. It’s an experience I recommend to any PhD student!

selected publications

  1. 10 years later: cloud computing is closing the performance gap
    Companion of the 2021 ACM/SPEC International Conference on Performance Engineering (ICPE21 Companion) 2021
  2. Parallel string graph construction and transitive reduction for de novo genome assembly
    2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS) 2021