Ruheyan Nuermaimaiti

Dr Ruheyan (Rukia) Nuermaimaiti, AFHEA

I am a Teaching Fellow in Statistics at the School of Mathematics, University of Leeds.

My PhD was under the supervision of Dr. Leonid Bogachev and Dr. Jochen Voss at the University of Leeds. My doctoral thesis, titled “Statistical Models for Frequency Distributions of Count Data with Applications to Scientometrics,” focused on investigating the statistical modelling of count data, common in diverse fields, including bibliometrics and scientometrics. My research interests include statistical modelling, limit shapes, bibliometrics etc.

Selected Work Expenrience

Teaching Fellow in Statistics

University of Leeds, Jan 2024 –

Module leader for: MATH27775 Survival Analysis ; MATH5745 Multivariate Method (23/24)

MATH5741 Statistical Theory and Methods; MATH1603 Data Science and Communication (24/25)

Master dissertation supervision: “Dimensionality Reduction Methods in Modern Multivariate Analysis”

Summer bursary project supervision: “Investigating the Performance of Neural Networks in Learning Classification Rules using Simulated Data”

Teaching Assistant in Statistics

University of Leeds, Apr 2023 – Jan 2024

Teaching: MATH1710 Probability and Statistics; MATH2535 Financial Mathematics: Risk; MATH2715 Statistical Methods

Exam marking: MATH2725

Summer project: Tutor feedback tool

Research Statistician Intern

Proctor and Gamble (P&G) Leeds Simulation Centre, Aug 2021 – Aug 2022

Statistical Consulting · Principal Component Analysis · Data Analysis · MaxDiff · JMP

Tutor as a posgraduate

University of Leeds, Jan 2019 – Jun 2022

Tutorials: MATH1710 Probability & Statistics I; MATH1712 Probability & Statistics II

R Practical Sessions: MATH5835M Statistical Computing; MATH3823/5824M Generalised Linear Models; MATH3772 Multivariate Analysis; Math3723 Statistical Theory; MATH2750 Introduction to Markov Processes; MATH3820 Bayesian Statistics, MATH3714 Linear Regression and Robutness

Publications and Preprints

• R. Nuermaimaiti, L.V. Bogachev & J. Voss (2023). Sampling Almost Surely Finite Sequences of Independent Events, Exactly. Preprint (work in progress).

• L.V. Bogachev, R. Nuermaimaiti & J. Voss (2023). Limit Shape of the Generalized Inverse Gaussian-Poisson Distribution. Preprint. Submitted.

• R. Nuermaimaiti (2023). Statistical models for frequency distributions of count data with applications to scientometrics. PhD thesis, University of Leeds. thesis

• R. Nuermaimaiti, L.V. Bogachev & J. Voss (2021). A generalized power law model of citations. In 18th International Conference on Scientometrics & Informetrics (ISSI 2021). Proceedings, pp. 843-848. International Society for Scientometrics and Informetrics, 2021.

Research Conferences and Seminars

• RSS International Conference 2024 (Brighton, 2024)

  Contributed talk: “Beyond Diminishing Returns: A New Scoring System for Powerlifting” Abstract

• STEM for BRITAIN 2024 - Maths Finalist, poster presentation in House of Parliament (London, 2024) Poster

• Early Career Researchers in Mathematics ECRM2022 (London, 21–24 Jun 2022)

  Oral presentation: “Statistical Modelling of Citations of Research Papers: A Comparative Study”

• Conference “Postgraduate Research Conference 2022” (Leeds, 15-17 Jun 2022)

  Oral presentation: “Statistical Modelling of Citations: in Search of a ‘Good’ Model” Best Statistics Talk Prize

• Conference “18th International Conference on Scientometrics & Informatics (ISSI2021)” (Leuven, Belgium, 12-15 Jul 2021, online).

  Oral presentation: “A generalized power law model of citations” YouTube video

  Doctoral Forum presentation: “Statistical modelling in bibliometrics”

  ISSI Student Travel Award

• Workshop “Modern Statistics for Interdisciplinary Omics and Big Data” (Leeds, 28-30 Jun 2021, online).

  Poster presentation: “Generalized power law models in bibliometrics” Poster prize

  Organising committee

• Spring School “Complex Networks” (Darmstadt, Germany, 2-6 Mar 2020).

  Oral talk: “Citation networks and integer partitions”

Teaching Training, Workshops & Conferences

• PGCAP (Sep 2024 –)

• UKCOTS (June, 2024)

• Workshop “Assessment in Mathematics and its Effect on Student Wellbeing” (Greenwich, 2023)

• Workshop “Outreach and widening participation in mathematical sciences” (Glasgow, 2023)

• Workshop “Effective Teaching Mathematics as a Postgraduate” (Sheffield, 2023)