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Portrait of David Procházka

David Procházka

Ph.D. candidate at the Faculty of Informatics, Masaryk University.

I research how indexes for vector search scale to hundreds of millions of objects, and how they cope when the data keeps changing. My colleagues and I turn this research into public tools, including AlphaFind for protein structures and DreaMS Search for mass spectra.

Publications

  1. 2026
    Recovering Graph ANN Search on Attention-Derived Workloads via a Query-Agnostic Spherical Transformationto appear

    David Procházka, Vlastislav Dohnal, and Martin Aumüller

    Conference on Information and Knowledge Management (CIKM 2026) · Rome, Italy

    Code →

  2. 2026
    Learned k-NN Graph Construction and Spherical Indexing for MIPS

    David Procházka, Emma Sommerová, Jan Mach, and Vlastislav Dohnal

    Similarity Search and Applications (SISAP 2026) · Brno, Czechia

    Code →

  3. 2026
    Capacity-Aware Cluster Rebalancing for Efficient R-Tree Indexing

    David Procházka, Mirjam Bayer, Daniyal Kazempour, Maximilian Verwiebe, Peer Kröger, and Vlastislav Dohnal

    Similarity Search and Applications (SISAP 2026) · Brno, Czechia

  4. 2026
    AlphaFind v2: similarity search in AlphaFold DB and TED domains across structural contexts

    Terézia Slanináková, Adrián Rošinec, Jakub Čillík, Aleš Křenek, Katarína Grešová, Jana Porubská, Eva Maršálková, Jaroslav Olha, David Procházka, Lukáš Hejtmánek, Vlastislav Dohnal, Karel Berka, Radka Svobodová, and Matej Antol

    Nucleic Acids Research (NAR)

    Website →Preprint →

  5. 2025
    On the Costs and Benefits of Learned Indexing for Dynamic High-Dimensional Data

    Terézia Slanináková, Jaroslav Olha, David Procházka, Matej Antol, and Vlastislav Dohnal

    Big Data Analytics and Knowledge Discovery (DaWaK 2025) · Bangkok, Thailand

    Extended version →

  6. 2024
    Scaling Learned Metric Index to 100M Datasets

    David Procházka, Terézia Slanináková, Jozef Čerňanský, Jaroslav Olha, Matej Antol, and Vlastislav Dohnal

    Similarity Search and Applications (SISAP 2024) · Providence, RI, USA

    Code →

  7. 2024
    AlphaFind: discover structure similarity across the proteome in AlphaFold DB

    David Procházka*, Terézia Slanináková*, Jaroslav Olha, Adrián Rošinec, Katarína Grešová, Miriama Jánošová, Jakub Čillík, Jana Porubská, Radka Svobodová, Vlastislav Dohnal, and Matej Antol · *equal contribution

    Nucleic Acids Research (NAR)

    Website →Code →Data →Preprint →

  8. 2023
    SISAP 2023 Indexing Challenge – Learned Metric Index

    Terézia Slanináková, David Procházka, Matej Antol, Jaroslav Olha, and Vlastislav Dohnal

    Similarity Search and Applications (SISAP 2023) · A Coruña, Spain

    Code →

  9. 2021
    Organizing Similarity Spaces Using Metric Hulls

    Miriama Jánošová, David Procházka, and Vlastislav Dohnal

    Similarity Search and Applications (SISAP 2021) · Dortmund, Germany (virtual)

    ★ Best Student Paper Award

    Code →

Experience

  1. 2024–
    now
    Research Specialist

    Leading the Information and Data Platform team of CESMOD.cz.

    Dept. of Computer Systems and Communications, Masaryk University

  2. 2024–
    now
    Research Specialist

    Researching indexes for vector search over data that keeps changing, while designing public tools such as AlphaFind and DreaMS Search.

    Dept. of Machine Learning and Data Processing, Masaryk University

Projects

  1. 2026–
    2029
  2. 2025–
    2027
  3. 2024–
    2025
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  1. 2024–
    2029
  2. 2023–
    2026

Research stays

  1. 2025
    IT University of Copenhagen

    Algorithms and Complexity group · hosted by Assoc. Prof. Martin Aumüller

    Copenhagen, Denmark · September – October 2025

  2. 2024

Talks

  1. 2026
    DreaMS Search: vector search over 200+ million tandem mass spectra

    Invited talk.

    SITOLA laboratory seminar, Masaryk University · September 2026

  2. 2026
    Vector Search at Scale

    Guest lecture in PV211 Introduction to Information Retrieval.

    Masaryk University · Spring 2026

  3. 2024
    Complex Data Management in the Age of AI

    Invited talk.

    SITOLA laboratory seminar (SitSem) · Telč · September 2024

Academic service

  1. 2026
    Similarity Search and Applications (SISAP 2026)

    Program committee member and session chair.

    Brno, Czechia

  2. 2025–
    2026

Theses

  1. 2026
    Scalable Learned Indexing for Complex Data

    David Procházka · supervisor Vlastislav Dohnal

    Advanced Master's thesis (RNDr.), Masaryk University

  2. 2023
    Advancing Motion Words for Human Motion Classification

    David Procházka · supervisor Vlastislav Dohnal

    Master's thesis, Masaryk University

    Code →

  3. 2021

Teaching

  1. 2024–
    now
  2. 2023–
    now
  3. 2022–
    now
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  1. 2024
    PB154 Database Systems

    Seminar tutor.

    Autumn 2024

Thesis supervision

  1. 2026
  2. 2026
  3. 2026
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  1. 2026
  2. 2026
  3. 2026
  4. 2026
  5. 2026
  6. 2025
  7. 2025
  8. 2025
  9. 2024

Thesis consultation

  1. 2026
  2. 2026
  3. 2026
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  1. 2026