Guillaume Marçais

Guillaume Marçais

Professor of Artificial Intelligence

Computational Biology Department, Carnegie Mellon University

Biography

I am a System Scientist in Dr Kingsford group at the Computational Biology Department of Carnegie Mellon University. My research is focused on algorithm development and improvement in Bioinformatics such as genome assembly, RNA transcript assembly, sequence alignment, biological data storage, search and retrieval.

Interests
  • Computational Biology
  • Algorithm design
  • Graph theory
Education

  • PhD in Applied Mathematics, 2011

    University of Maryland

  • Maitrise de Mathématiques, 2001

    Université Paris VII René Diderot"

  • Diplôme d'Ingénieur en Informatique et Télécommunications, 1999

    Institut National des Télécommunications

Recent Publications

Full list of publications.
Guillaume Marçais, Shane Elder, Carl Kingsford (2024). k-nonical space: sketching with reverse complements. bioRxiv.

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Guillaume Marçais, Dan DeBlasio, Carl Kingsford (2023). Sketching methods with small window guarantee using minimum decycling sets. arXiv.

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Hongyu Zheng, Guillaume Marçais, Carl Kingsford (2023). Creating and Using Minimizer Sketches in Computational Genomics. Journal of Computational Biology.

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Mihir Mongia, Chengze Shen, Arash Gholami Davoodi, Guillaume Marçais, Hosein Mohimani (2023). Large scale sequence alignment via efficient inference in generative models. Scientific Reports.

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Minh Hoang, Guillaume Marçais, Carl Kingsford (2022). Masked Minimizers: Unifying sequence sketching methods. bioRxiv.

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