Lazar Djokic

Intermediate Algorithm Developer at BGI · Research
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Contact Information
us****@****om
(386) 825-5501
Location
Belgrade, Serbia, RS
Languages
  • English Full professional proficiency
  • German Elementary proficiency
  • Serbian Native or bilingual proficiency

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Credentials

  • CS50’s Introduction to Computer Science
    CS50
    Jan, 2023
    - Oct, 2024
  • Git Essential Training: The Basics
    LinkedIn
    Oct, 2022
    - Oct, 2024
  • Fundamentals of Deep Learning
    NVIDIA
    Mar, 2022
    - Oct, 2024
  • Fundamentals of Deep Learning for Multi-GPUs
    NVIDIA
    Mar, 2022
    - Oct, 2024
  • Fundamentals of Accelerated Computing with CUDA Python
    NVIDIA
    Feb, 2022
    - Oct, 2024
  • Certificate of completion - Statistics
    365 Data Science
    Nov, 2021
    - Oct, 2024
  • TOEFL iBT
    The TOEFL® test
    May, 2017
    - Oct, 2024

Experience

  • BGI · Research
    • China
    • Biotechnology Research
    • 1 - 100 Employee
    • Intermediate Algorithm Developer
      • Mar 2023 - Present

      Develop new computational biology algorithms, tools, and software for world-leading omics technology. Process and analyze a high volume of the omics dataset to develop the benchmark and evaluation methods of the omics-related algorithms and tools. Develop new computational biology algorithms, tools, and software for world-leading omics technology. Process and analyze a high volume of the omics dataset to develop the benchmark and evaluation methods of the omics-related algorithms and tools.

  • Faculty of Mechanical Engineering University of Belgrade
    • Serbia
    • Mechanical Or Industrial Engineering
    • 100 - 200 Employee
    • Technical Associate
      • Dec 2019 - Present
  • Argenit Teknoloji
    • Türkiye
    • Biotechnology Research
    • 1 - 100 Employee
    • Data Scientist
      • Jun 2022 - Oct 2022

      Worked as a data scientist at Argenit Teknoloji within the research team of the AUTOIGG project (http://autoigg.bio.bg.ac.rs/). Some of the work activities included: - Time series analysis including visualization, augmentation, and normalization of raw data - Development of supervised and unsupervised machine learning algorithms for time series classification, clustering, and anomaly detection Worked as a data scientist at Argenit Teknoloji within the research team of the AUTOIGG project (http://autoigg.bio.bg.ac.rs/). Some of the work activities included: - Time series analysis including visualization, augmentation, and normalization of raw data - Development of supervised and unsupervised machine learning algorithms for time series classification, clustering, and anomaly detection

Education

  • University of Belgrade - Faculty of Mechanical Engineering
    Doctor of Philosophy - PhD, Production Engineering
    2019 -
  • University of Belgrade - Faculty of Mechanical Engineering
    Master of Science - MS, Production Engineering
    2017 - 2019
  • University of Belgrade - Faculty of Mechanical Engineering
    Bachelor's degree, Mechanical Engineering
    2012 - 2017
  • First Belgrade Gymnasium
    Natural sciences and mathematics
    2008 - 2012

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