World's Best Scientists 2026 revealed!
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Computer Science
Canada
2025

D-Index & Metrics

Computer Science

D-Index
72
Citations
16991
World Ranking
1709
National Ranking
61

Research.com Recognitions

  • 2025 - Research.com Computer Science in Canada Leader Award
  • 2023 - Research.com Computer Science in Canada Leader Award
  • 2022 - Research.com Computer Science in Canada Leader Award
  • 2019 - Member of the National Academy of Engineering For engineering contributions to databases, file systems, and operating systems.
  • 2011 - ACM Fellow For contributions to data management and computing systems.
  • 1994 - Fellow of Alfred P. Sloan Foundation

Overview

Margo Seltzer is affiliated with the University of British Columbia in Canada and has an extensive research portfolio primarily in computer science. Their work spans various subfields, including artificial intelligence, computer networks and communications, information systems, computer vision and pattern recognition, and statistics and probability.

The scientist has contributed notably to several research topics, including machine learning and data classification, explainable artificial intelligence (XAI), scientific computing and data management, advanced graph neural networks, advanced malware detection techniques, mental health research topics, and statistical methods and inference.

Key recent publications by Margo Seltzer include:

  • Generalized and Scalable Optimal Sparse Decision Trees, 2020, arXiv (Cornell University)
  • Fast Sparse Decision Tree Optimization via Reference Ensembles, 2022, Proceedings of the AAAI Conference on Artificial Intelligence
  • Exploring the Whole Rashomon Set of Sparse Decision Trees, 2022, PubMed
  • A user-centered, learning asthma smartphone application for patients and providers, 2020, Learning Health Systems
  • SIGL: Securing Software Installations Through Deep Graph Learning, 2020, arXiv (Cornell University)

Frequent coauthors collaborating with Margo Seltzer include:

  • Cynthia Rudin
  • Chudi Zhong
  • Hayden McTavish
  • Rui Xin
  • Reto Achermann

The main venues in which Margo Seltzer has published research are:

  • arXiv (Cornell University)
  • PubMed
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Learning Health Systems
  • International Journal of Critical Infrastructure Protection

Awards recognizing contributions to the field include being named a Member of the National Academy of Engineering in 2019 for engineering contributions to databases, file systems, and operating systems. In 2011, they were honored as an ACM Fellow for contributions to data management and computing systems. Earlier, they received recognition as a Fellow of the Alfred P. Sloan Foundation in 1994.

Best Publications

  • Provenance-aware storage systems

    Kiran-Kumar Muniswamy-Reddy;David A. Holland;Uri Braun;Margo Seltzer

  • Berkeley DB

    Michael A. Olson;Keith Bostic;Margo Seltzer

  • Network-Aware Operator Placement for Stream-Processing Systems

    P. Pietzuch;J. Ledlie;J. Shneidman;M. Roussopoulos

  • The case for geographical push-caching

    J.S. Gwertzman;M. Seltzer

  • An implementation of a log-structured file system for UNIX

    Margo Seltzer;Keith Bostic;Marshall Kirk Mckusick;Carl Staelin

  • Dealing with disaster: surviving misbehaved kernel extensions

    Margo I. Seltzer;Yasuhiro Endo;Christopher Small;Keith A. Smith

  • World-wide web cache consistency

    James Gwertzman;Margo Seltzer

  • Disk Scheduling Revisited

    Margo Seltzer;Peter Chen;John Ousterhout

  • Journaling versus soft updates: asynchronous meta-data protection in file systems

    Margo I. Seltzer;Gregory R. Ganger;M. Kirk McKusick;Keith A. Smith

  • Network coordinates in the wild

    Jonathan Ledlie;Paul Gardner;Margo Seltzer

  • Non-volatile memory for fast, reliable file systems

    Mary Baker;Satoshi Asami;Etienne Deprit;John Ouseterhout

  • Improving Performance Isolation on Chip Multiprocessors via an Operating System Scheduler

    A. Fedorova;M. Seltzer

  • UNICORN: Runtime Provenance-Based Detector for Advanced Persistent Threats

    Xueyuan Han;Thomas F. J.-M. Pasquier;Adam Bates;James Mickens

  • Special Issue: The First Provenance Challenge

    Luc Moreau;Bertram Ludäscher;Ilkay Altintas;Roger S. Barga

  • The First Provenance Challenge

    Luc Moreau;Bertram Ludaescher;Ilkay Altintas;Roger S. Barga

  • Passive NFS tracing of email and research workloads

    Daniel Ellard;Jonathan Ledlie;Pia Malkani;Margo Seltzer

  • Learning Certifiably Optimal Rule Lists for Categorical Data

    Elaine Angelino;Nicholas Larus-Stone;Daniel Alabi;Margo I. Seltzer

  • Provenance for the cloud

    Kiran-Kumar Muniswamy-Reddy;Peter Macko;Margo Seltzer

  • Hourglass: An Infrastructure for Connecting Sensor Networks and Applications

    Jeff Shneidman;Peter Pietzuch;Jonathan Ledlie;Mema Roussopoulos

  • File system logging versus clustering: a performance comparison

    Margo Seltzer;Keith A. Smith;Hari Balakrishnan;Jacqueline Chang

Frequent Co-Authors

Alexandra Fedorova
Alexandra Fedorova University of British Columbia
Peter Pietzuch
Peter Pietzuch Imperial College London
Cynthia Rudin
Cynthia Rudin Duke University
David C. Parkes
David C. Parkes Harvard University
Xiaolan Zhang
Xiaolan Zhang Google (United States)
Matt Welsh
Matt Welsh Fixie.ai
David Mazières
David Mazières Stanford University
Jean Bacon
Jean Bacon University of Cambridge
Ryan P. Adams
Ryan P. Adams Princeton University
Gregory R. Ganger
Gregory R. Ganger Carnegie Mellon University

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