Rintaro Kanaki

Rintaro Kanaki

PhD Student in Astrophysics @ Newcastle University ๐Ÿ‡ฌ๐Ÿ‡ง

๐Ÿ”ญ Cosmology | ๐Ÿ“Š Statistics | ๐Ÿ’ป Data Science | ๐ŸŽ Physics

๐Ÿ“„ CV

๐ŸŽ“ Education:

  • PhD in Astrophysics, Newcastle University, UK ๐Ÿ‡ฌ๐Ÿ‡ง (Sep 2024โ€“)
  • MSc in Astrophysics, Ludwig Maximilian University of Munich, Germany ๐Ÿ‡ฉ๐Ÿ‡ช (Oct 2020โ€“Sep 2023)
  • Exchange Student, University of Bologna, Italy ๐Ÿ‡ฎ๐Ÿ‡น (Sep 2021โ€“Feb 2022)
  • BSc in Physics, University of Bayreuth, Germany ๐Ÿ‡ฉ๐Ÿ‡ช (Oct 2017โ€“Sep 2020)

๐Ÿ”ฌ Research:

  • PhD: Bayesian inference for galaxy density fields (STFC-funded)
  • Internship: Machine learning for intraoperative brain imaging
  • MSc: Neural networks based cosmological parameter inference for weak lensing maps
  • BSc: MRI stability in accretion disks

๐Ÿ’ผ Experience:

  • Newcastle University ๐Ÿ‡ฌ๐Ÿ‡ง (2025โ€“) โ€“ Teaching assistant: LCR Circuits (Year 1 in ๐Ÿ‡ฌ๐Ÿ‡ง)
  • Newcastle University ๐Ÿ‡ฌ๐Ÿ‡ง (2024โ€“) โ€“ Teaching assistant: XRD & Compton Scattering (Year 2 in ๐Ÿ‡ฌ๐Ÿ‡ง)
  • Humanitarian Volunteer ๐Ÿ‡บ๐Ÿ‡ฆ (Aug 2024) โ€“ Kitchen & bakery support in Kharkiv
  • Zeiss Meditec ๐Ÿ‡ฉ๐Ÿ‡ช (2023โ€“2024) โ€“ Research internship in medical technology, biophysics, and computer vision
  • University of Munich ๐Ÿ‡ฉ๐Ÿ‡ช (Mar 2021) โ€“ Teaching assistant: Laser Safety(in ๐Ÿ‡ฉ๐Ÿ‡ช)

๐Ÿ’ฌ Languages: ๐Ÿ‡ฏ๐Ÿ‡ต Native, ๐Ÿ‡ฉ๐Ÿ‡ช C1, ๐Ÿ‡ฌ๐Ÿ‡ง B2, ๐Ÿ‡ฎ๐Ÿ‡น A1

๐Ÿ’ป Programming: Python, FORTRAN, C++, R, SQL, Bash, Java, HTML, TeX

๐Ÿ“Ž Download my latest CV here.

๐Ÿ”ฌ Research

My research focuses on cosmological applications of statistical methodsโ€”particularly spatial modeling, Bayesian inference, and machine learning.

๐Ÿ“ Blog (Hobby)

๐Ÿง  App / Code