Faniry Razakason

About

Hello!

I am a PhD student in the Department of Statistics at LMU Munich. I work under the joint supervision of Prof. Göran Kauermann and Prof. Paul Thurner. Before coming to Germany, I completed a Master’s degree in Statistics (Theoretical) at Modern College (Savitribai Phule Pune University) in India.

My research focuses on the statistical modelling of complex spatio-temporal events. The application of my current work is in conflict modelling and early warning systems. I am also interested in the properties of inference for point processes when data are subject to delays, i.e., when there is a lag between when an event occurs and when it is observed.

I enjoy reading. I recently developed a deep interest in Malagasy literature and philosophy. I have particular admiration for Andry Andraina and his book Mitaraina ny tany.

Please do not hesitate to reach out!

Background

  • Oct 2024-Present: PhD in Statistics. LMU Munich, Germany.
  • July 2021-June 2023: MSc in Statistics. SPPU Pune, India.
  • Jan 2019-November 2021: Master 1 in Macroeconomics and modelling. University of Antananarivo, Madagascar.
  • Jan 2016-Dec 2018: Licence (Bachelor) in Mathematics Economics. University of Antananarivo, Madagascar.

Scholarships and awards

  • 2014–2018: Fiainana be dia be Scholarship, Madagascar.

    This scholarship was awarded to a dozen exceptional high school students in Madagascar, with the support of Korea University. It fully funded my studies until my graduation from the University of Antananarivo.

  • 2021–2023: ICCR Scholarship, India.

    The ICCR Scholarship is a fully funded scholarship awarded based on academic merit to pursue studies in India. My Master’s studies in India were funded by ICCR.

  • 2024–Present: DAAD Research Grant for Doctoral Studies.

    This grant was awarded by the DAAD and provides full financial support for my PhD in Germany.

Interests and current work

A current preprint is available on arXiv: Assessing Reporting Delays in ACLED Conflict Event Data.

  • Statistical modelling
  • Conflict process
  • Missing data and nowcasting
  • Point processes
  • Spatial statistics