Anastasia Ushakova

Postdoctoral Research Assistant

  • Psychology
  • School of Philosophy, Psychology, and Language Sciences

Contact details

Address

Street

Psychology Building

City
7 George Square, Edinburgh
Post code
EH8 9JZ

Background

I was awarded my PhD in Computational Social Science from UCL in 2019.  Since then, I worked as a Senior Teaching Coordinator in Statistics in PPLS Edinburgh and and as a Postdoctoral Researcher in Statistics in Lancaster University. I am currenly working under supervision of Dr Aja Murray on identifying risk and protective factors to help support student mental health (SMaRteN Research Grant) using Understanding Society data.

I also hold a post in Lancaster where I work with Prof Kate Cain (Psychology), Dr Rebecca Killick (Statistics)  and collaborators to support work of the LASeR (Literacy Acceleration through Scalable Research) consortium where we are working to  map and understand the dynamics of change in young readers as they progress through a digital multicomponent reading supplement (i.e. games via reading app). 

My early background is in Economics, focused extensively on advanced quantitative methodology used in Social Sciences. I am interested in applying and developing methodology such as complex time series analysis, longitudinal analysis and big data. I am also interested with machine learning methods which are becoming common in modern data analytics streams.

 

 

Undergraduate teaching

 

 

Research summary

My past research looked at how studying energy consumption data recorded by smart meters may reveal insights about individual behaviour and habits associated with energy use. More broadly, I am interested in understanding of how sensor type data can help us in studying individual patterns of behaviour, lifestyles and well-being. Some of my recent work includes research in methods development for periodic time series. I am also fortunate to collaborate with researchers in PPLS  where we work on analysis of large population surveys (Millennium Birth cohort).