cv

Contact Information

Name Marcin Copik
Professional Title Computer Scientist
Email mcopik@gmail.com

Experience

  • 2019 - 2019

    Redmond, USA

    Microsoft Research
    • Analyzing microarchitectural implications of serverless workloads.
  • 2016 - 2016

    Baton Rouge, USA

    Louisiana State University
    • Integrating single-source GPU programming in HPX.
  • 2014 - 2018

    Google Summer of Code
    • Improving statistical model checking in PRISM model checker.
    • Integrating single-source GPU programming in HPX.
    • Mentoring students working on HPX.
  • 2014 - 2016

    Jülich, Germany

    Jülich Supercomputing Centre
    • Developing tools for performance analysis of parallel applications at Scalasca.
  • 2012 - 2014

    Gliwice, Poland

    Silesian University of Technology
    • Implementing versions of ICP algorithm for registration of respiratory motion.
  • 2012 - 2013

    Gliwice, Poland

    The Institute of Theoretical and Applied Informatics of the Polish Academy of Sciences
    • Implementing GPU simulator of Markov Chains.

Education

  • 2019 - 2024

    Zürich, Switzerland

    PhD
    ETH Zürich
    Computer Science
    • Core focus - high-performance solutions for serverless computing.
    • Published eight first-author publications.
  • 2014 - 2017

    Aachen, Germany

    MSc
    RWTH Aachen University
    Simulation Sciences
    • Core focus - high-performance computing.
  • 2011 - 2014

    Gliwice, Poland

    BSc
    Silesian University of Technology
    Computer Science
    • Core focus - software engineering.

Awards

  • 2025
    SIGHPC Doctoral Dissertation Award
  • 2025
    Best Paper Award Finalist
    ACM/IEEE Supercomputing
  • 2025
    Gordon Bell Award in Climate Modeling
    ACM/IEEE Supercomputing
  • 2024
    SIGHPC Travel Grant
  • 2024
    Best Research Poster Award
    ACM/IEEE Supercomputing
  • 2023
    SIGHPC Travel Grant
  • 2022
    ACM/IEEE George Michael Memorial HPC Fellowship
  • 2022
    Gold Medal at the ACM Student Research Competition
    ACM/IEEE Supercomputing
  • 2022
    AWS Cloud Credits for Research Applications
  • 2022
    Google Cloud Research Credits
  • 2021
    Microsoft Research PhD Fellowship
  • 2019
    Gold Medal at the ACM Student Research Competition
    ACM/IEEE Supercomputing

Projects

  • SeBS, Serverless Benchmark Suite
    • A comprehensive benchmarking suite for serverless computing.
  • rFaaS
    • FaaS platform with RDMA acceleration and decentralized allocations for high-performance computing.
  • FaaSKeeper
    • Serverless storage system supporting ZooKeeper synchronizationd and consistency model.
  • XaaS
    • Performance-portable and reconfigurable containers for cloud and HPC systems.

Technologies

Programming Languages: Experienced: C++, Python, Java | Familiar: Matlab, Julia, Mathematica, R, Pascal, JavaScript, x86 assembly
Software Engineering: git, SVN, Mercurial, CMake, LLVM
HPC: MPI, OpenMP, OpenCL, SYCL, C++AMP, SLURM
Cloud: FaaS, Docker, Kubernetes, AWS

Languages

Polish : Native
English : Fluent
German : Intermediate