Giulia Guidi

PhD candidate in Computer Science at UC Berkeley and Assistant Professor of Computer Science at Cornell University (starting Spring 2023) | she/her

584-2

Soda Hall, UC Berkeley

Berkeley, CA, USA 94720

Giulia is a PhD candidate 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, and a 2020 SIGHPC Computational & Data Science Fellow.

Giulia will be an Assistant Professor of Computer Science at Cornell University starting Spring 2023.

Giulia is working on the challenges of large-scale computational biology and the algorithms and software infrastructures that meet the usability and performance demand of this community, as well as how to make cloud computing more accessible for high-performance scientific computing. Giulia’s research goal is to make writing high-performance genomics code as easy as writing high-performance deep learning code. Giulia is generally interested in the intersection of High-Performance Computing (HPC), Computer Systems, and Computational Biology as enabling technologies for faster, high-quality bioinformatics and biomedical research.

Here are a recent CV (August 2022) and the Tl;dr version of my Research Statement.

I am recruiting PhD students for the 2023/24 Academic Year. The best way to contact me is via email: gg434 at cornell dot edu.

Dog person, in general. German Shepherd person, in particular.

news

Jul 30, 2022 I’m very happy I have been invited to give a seminar on parallel algorithms for genomic analysis at SRI International (Menlo Park, CA) on August 4, 2022.
Jul 29, 2022 On August 4, 2022, I’ll be a panelist for the OpenACC panel on “Current and Future Approaches to Parallel Programming”.
Jul 5, 2022 I’m very excited to announce our paper titled “Extreme-Scale Many-Against-Many Protein Similarity Search” has been selected as a finalist for the 2022 ACM Gordon Bell Prize.
Jun 16, 2022 I’m happy to announce our paper titled “Distributed-Memory Parallel Contig Generation for De Novo Long-Read Genome Assembly” has been accepted for publication at the 51st International Conference on Parallel Processing (ICPP) 2022.
Apr 12, 2022 I will be joining Cornell as an Assistant Professor in the Department of Computer Science Cornell Bowers CIS in Spring 2023!
Mar 23, 2022 I’m honored to receive the 2022 Outstanding Graduate Student Instructor Award from the UC Berkeley GSI Teaching and Resource Center. I truly enjoyed my time as TA (GSI) for Applications of Parallel Computers!
Mar 14, 2022 I’m very happy I have been invited to give a seminar for Sunita Chandrasekaran’s group at Department of Computer and Information Sciences of the University of Delaware entitled “Sparse Matrices and High-Performance Computing Meet Biology”.
Dec 3, 2021 The ETH Zürich’s Google Developer Student Club invited me as a panelist for “Panel Discussion - Doing a PhD in Computer Science” on Dec 14, 9:00 AM (PST) or 6:00 PM (CET). If interested in attending, please register here!

selected publications

  1. 10 Years Later: Cloud Computing is Closing the Performance Gap
    4th Workshop on Hot Topics in Cloud Computing Performance at the International Conference on Performance Engineering (ICPE) 2021. 2021
  2. Distributed-Memory Parallel Contig Generation for De Novo Long-Read Genome Assembly
    Guidi, Giulia, Raulet, Gabriel, Rokhsar, Daniel, Oliker, Leonid, Yelick, Katherine, and Buluç, Aydın
    In 51th International Conference on Parallel Processing (ICPP) 2022
  3. Parallel String Graph Construction and Transitive Reduction for De Novo Genome Assembly
    In International Parallel and Distributed Processing Symposium (IPDPS) 2021