Yovna Junglee bio photo

Yovna Junglee

PhD candidate in Statistics at the University of Toronto.

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About me

I am a PhD candidate in the Department of Statistical Sciences at the University of Toronto.

Research interests

Methodologically, my research interests include Bayesian inference, graphical models, spatio-temporal models, non-parametric methods (and intersections thereof) and environmental & ecological statistics.

Education

  • PhD Statistics. University of Toronto. 2022-Present.

  • MSc Advanced Analytics. University of Cape Town. 2020-2022.

Thesis: Developed Bayesian historical functional linear models which account for measurement error in the predictor processes to forecast atmospheric pollutants using daily meteorological processes. (github.com/yovnajunglee/BayesHFLM)

  • BBusSci Analytics (Mathematical Statistics). University of Cape Town. 2016-2019.

Research project: Developed scalable spatial occupancy models using consensus Monte Carlo. The objective was to make these models more efficient and practical for large data sets which arise from analysing multi-species data and/or large conservation efforts.

Awards

  • South African Statistical Association (SASA) Best Postgraduate Paper Award (First Prize, 2021) for ‘Bayesian Analysis of Historical Functional Linear Models with application to air pollution forecasting’.

Service

  • Organising Committee member of the Statistical Sciences Applied Research and Education Seminar (ARES). Canadian Statistical Sciences Institute (CANSSI). Aug 2023-Present.
  • Vice-President of the Statistics Graduate Student Union (SGSU). Department of Statistical Sciences. Uni of Toronto. Sept 2023-Present.

Software

  • (Under development) BayesHFLM - An R package for the Bayesian Analysis of Historical Functional Linear Models.