Contact

Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology
32 Vassar Street
Cambridge, MA 02139
Email: [My Last Name] (at) mit.edu

Markos Markakis

I am interested in enabling the efficient management of big data by designing novel high performance data systems. To that end, I am currently working towards a PhD at the intersection of data systems and machine learning as a member of the Data Systems Group at the Computer Science and Artificial Intelligence Lab (CSAIL) of the Massachusetts Institute of Technology. During my time at MIT, I have worked on projects with Prof. Tim Kraska, Prof. Michael Cafarella and Prof. Samuel Madden. I have also interned at Intel as a Graduate Research intern in the summer of 2021, and at Amazon Web Services as an Applied Scientist intern in the summer of 2023.

Before joining MIT, I earned my Bachelor's of Science in Engineering (B.S.E.) in Electrical Engineering from Princeton University, alongside a certificate (minor) in Applications of Computing. For my undergraduate thesis, I had the honor of working with Prof. Margaret Martonosi on efficient memory consistency testing, as well as on formal verification for the DECADES project.

Publications

  • Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD Paper Extended Version
    Geoffrey X. Yu, Ziniu Wu, Ferdi Kossmann, Tianyu Li, Markos Markakis, Amadou Ngom, Samuel Madden, and Tim Kraska
    Proceedings of the VLDB Endowment 17 (11), 3629 - 3643 (VLDB 2024)

  • Press ECCS to Doubt (Your Causal Graph) Paper 🎉 Best Paper Award
    Markos Markakis, Ziyu Zhang, Rana Shahout, Trinity Gao, Chunwei Liu, Ibrahim Sabek, and Michael Cafarella
    2024 Workshop on Governance, Understanding and Integration of Data for Effective and Responsible AI (GUIDE-AI 2024)

  • Sawmill: From Logs to Causal Diagnosis of Large Systems Paper
    Markos Markakis, An Bo Chen, Brit Youngmann, Trinity Gao, Ziyu Zhang, Rana Shahout, Peter Baile Chen, Chunwei Liu, Ibrahim Sabek, and Michael Cafarella.
    2024 International Conference on Management of Data (SIGMOD 2024)

  • Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes Paper
    Tim Kraska*, Tianyu Li*, Samuel Madden*, Markos Markakis*, Amadou Ngom*, Ziniu Wu*, and Geoffrey X. Yu*
    Proceedings of the VLDB Endowment 16 (11), 3293-3301 (VLDB 2023)

  • TreeLine: An Update-In-Place Key-Value Store for Modern Storage Paper
    Geoffrey X. Yu*, Markos Markakis*, Andreas Kipf*, Per-Ake Larson, Umar Farooq Minhas, and Tim Kraska
    Proceedings of the VLDB Endowment 16 (1), 99-112 (VLDB 2023)

  • PerpLE: Improving the Speed and Effectiveness of Memory Consistency Testing Paper
    Themis Melissaris, Markos Markakis, Kelly Shaw, and Margaret Martonosi
    53rd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO 2020)


As part of my broader interest in science, I have also contributed to the following non-CS publication:

  • The use of Indocyanine green in endocrine surgery of the neck: A systematic review Paper
    Nina Maria Fanaropoulou, Angeliki Chorti, Markos Markakis, Maria Papaioannou, Antonios Michalopoulos, and Theodosios Papavramidis
    Medicine 98 (10) (Medicine 2019)

Work Experience

  • Summer 2023: Amazon Web Services, Applied Scientist Intern - Boston, MA

    • Interned with the Learned Systems Group within Amazon Redshift.
    • Profiled recurring customer workloads and developed solutions to accelerate them.

  • Summer 2021: Intel Corporation, Graduate Research Intern - Munich, Germany

    • Interned remotely with the US-based Intel Cloud Enterprise Solutions Group.
    • Explored solutions for leveraging persistent memory technology for key-value stores.

  • Summer 2019: McKinsey & Company, Summer Business Analyst - Athens, Greece

    • Helped a prominent organization of over 7000 employees redefine its strategic vision after a major leadership change and shifts in market conditions.
    • Contributed to corporate governance restructuring recommendations presented directly to the CEO of the client company.
    • Joined an international team as the domestic expert to help an organization rethink the staffing and work allocation paradigm in one of its most business-critical units.

  • Summer 2018: EY (Ernst & Young), Performance Improvement Intern - Athens, Greece

    • Contributed to a software suite which analyzed the product data of an international retail client to provide actionable business insights.
    • Designed and developed a machine learning tool that facilitates sentiment analysis of intra-organizational feedback comments.

Presentations

Teaching

Massachusetts Institute of Technology

Princeton University

News

  • University Survival Guide: Markos Markakis '16 [in Greek] Link
    Anatolia College Alumni News, Thessaloniki, Greece, 10 December 2021
  • Graduates recognized for innovation, service and perseverance Link
    John Sullivan, Princeton University, Princeton, NJ, USA, 2 June 2020
  • Student Profile: Markos Markakis '20 wants to use data science tools to advance healthcare Link
    Sharon Adarlo, Princeton University, Princeton, NJ, USA, 10 April 2019
  • Markakis, a junior, honored at Opening Exercises Link
    Jamie Saxon, Princeton University, Princeton, NJ, USA, 10 September 2018
  • Pantzouroi Live @ Schoolwave 2016 [in Greek] Link
    Schoolwave Festival, Athens, Greece, 8 July 2016
  • Architectural ethics is focus of freshman seminar Link
    Laurie Zazenski, School of Architecture, Princeton University, Princeton, NJ, USA, 15 December 2016
  • Excellent international college admission results by Anatolia College students [in Greek] Link
    Anatolia College Press Release, Thessaloniki, Greece, 17 June 2016