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General Information

Full Name Rustam Latypov
Date of Birth 18th February 1995
Languages Finnish, Russian, English

Education

  • 2021 -
    Doctor of Science
    Aalto University, Finland
    • Computer Science
  • 2019 - 2021
    Master of Science
    Aalto University, Finland
    • Mathematics and Operations Research - GPA 4.9/5
      • Major in Applied Mathematics
      • Minor in Computer Science
  • 2016 - 2019
    Bachelor of Science
    Aalto University, Finland
    • Engineering Physics and Mathematics - GPA 4.9/5
      • Major in Mathematics and Systems Analysis
      • Minor in Computer Science

Experience

  • 2021 -
    Doctoral candidate
    Aalto University, Finland
    • Charting the complexity landscape of fundamental graph problems, and exploring the algorithmic applications of powerful probabilistic tools in the context of Massively Parallel Computation.
  • 2020-2021
    Research assistant
    Aalto University, Finland
    • Worked on distributed graph algorithms in low-space Massively Parallel Computation. Developed a deterministic, state-of-the-art 3-coloring algorithm for trees.
  • 2019
    Giant Leap Intern
    Vaisala Oyj
    • Developed software for forecasting 20% of the test failures in large scale radiosonde production using data mining, feature engineering and machine learning (XGBoost, Python).
  • 2018
    Research assistant
    Aalto University, Finland
    • Solved non-linear, ill-posed inverse problems for resistor networks both symbolically and numerically using the Gauss-Newton algorithm and Tikhonov regularization.

Honors and Awards

  • 2021
    • Granted 24-month funding for my doctoral studies by the Dept. of CS Aalto
    • Awarded 1000€ for academic success in mathematics by the Professor E. J. Nyström Fund
    • Awarded 500€ for general academic success by the School of Science, Aalto
  • 2020
    • Awarded 1000€ for general academic success by the School of Science, Aalto

Academic Interests

  • Massively Parallel Computation
    • The complexity landscape of LCL problems
    • Probabilistic methods
    • Arboricity-based colorings
    • Connectivity

Other Interests

  • Mountaineering, alpinism, analog photography