I'm a PhD candidate in Computer Science at the University of Washington, advised by Arvind Krishnamurthy, and interested in the intersection of Machine Learning and Systems, either in designing and building systems to solve large scale machine learning problems (Systems4ML), or applying machine learning techniques to improve systems' performance (ML4Systems).

I hold a MS (Computer Science) from the University of Washington, and a MEng. and Specialization (Systems) from Universidad Tecnológica Nacional FRC, Argentina. I received my BEng. (Telecommunications) degree from Universidad Blas Pascal, also in Argentina.

Here is my resume (as of Feb 2018).



  • Ignacio Cano, Markus Weimer, Dhruv Mahajan, Carlo Curino, Giovanni Matteo Fumarola,
    Arvind Krishnamurthy
    Towards Geo-Distributed Machine Learning
    IEEE Data Engineering Bulletin, Global-scale Data Management Issue, December 2017. paper
    (Extended version of NIPS Learning Systems 2015 workshop paper)


  • Ignacio Cano, Srinivas Aiyar, Varun Arora, Manosiz Bhattacharyya, Akhilesh Chaganti, Chern Cheah, Brent Chun, Karan Gupta, Vinayak Khot, Arvind Krishnamurthy
    Curator: Self-Managing Storage for Enterprise Clusters
    USENIX Symposium on Networked Systems Design and Implementation, 2017. paper   slides
  • Ignacio Cano, Srinivas Aiyar, Arvind Krishnamurthy
    Characterizing Private Clouds: A Large-Scale Empirical Analysis of Enterprise Clusters
    ACM Symposium on Cloud Computing, 2016.  paper   slides   poster
  • Ignacio Cano, Sameer Singh, Carlos Guestrin
    Distributed Non-Parametric Representations for Vital Filtering: UW at TREC KBA 2014
    Text Retrieval Conference, Knowledge Base Acceleration Track, 2014.  paper   slides   poster


  • Ignacio Cano, Markus Weimer, Dhruv Mahajan, Carlo Curino, Giovanni Matteo Fumarola
    Towards Geo-Distributed Machine Learning
    NIPS Learning Systems, 2015.  paper   ext version   slides   poster

Honors & Awards


  • Student Travel Grants
    NSDI '17 and SoCC '16
  • Argentine Presidential Fellowship in Science & Technology
    Argentina's Presidential Cabinet - Fulbright Commission. 2013-2015
  • Exchange Student Scholarship
    Universidad Blas Pascal - University of Richmond. Fall 2007
  • Undergraduate Merit-based Scholarship
    Universidad Blas Pascal. 2002-2006


  • Group Recognition Award
    Software & Services Group. Intel Corporation. Q4 2012
  • Teamwork Role Model
    Argentina Software Design Center. Intel Corporation. 2012


I TA'ed the following courses:



PhD Software Engineering Intern

Worked in the F1 team on applying machine learning techniques to improve database query optimizers.


Member of Technical Staff Intern

Worked on a data science project to characterize private clouds. Also, participated in a project that uses machine learning to improve tasks' scheduling in Nutanix enterprise clusters.


Research Intern

Worked in the Cloud and Information Services Lab (CISL) on cross data center machine learning using Apache REEF.


Senior Software Engineer

Participated in various projects that mainly involved the development of Intel's Application Store, also known as Intel AppUp Center.


Software Engineer

Worked in the development of Nimbuzz client for Blackberry devices.
Also involved in the development of Nimbuzz backend components.


Software Engineer

Participated in the development of Motorola's solution to remotely manage WiMAX CPEs using OMA-DM and TR-069 protocols.


Participated in a mobile application project to manage Personal Health Records using CCR standard.