My collaborative research has been funded by ESRC, EPSRC, NIHR, NWCR and MRF and I have a group of four PhD students working in different areas of data science, health and psychology research. I am also part of a variety research interests groups nationally (e.g. NIHR Statistics and Routine Data Groups).

Since 2022 I act as a Chair of Organising Committee for NIHR Statistics Conference.

Since 2023 I am also a Deputy Research Director at Lancaster Medical School.

Current team of PhD researchers 

Yawen Ma, Application and development of statistical models of time-series analysis to advance understanding of early literacy development through analysis of big data on student interactions with research-based game environments. (EPSRC) with Prof Kate Cain. (2021-Present)

Hayley J. Lowther-Payne, Understanding inequalities in access to adult mental health services in the UK during COVID-19: focus on LGBTQ+ (NIHR), with Prof Fiona Lobban. (2021-Present)

Kristina Krieger, Casual Inference Methods for Study of Dynamic Predictors of Mental Health Needs and Patients’ Outcomes (ESRC), with Prof Jo Knight. (2022-Present)

Lauren Halsall, Healthcare use, interventions and longer term outcomes in people with co-occurring bipolar and alcohol use disorders (ESRC), with Dr Laura Goodwin and Prof Steve Jones. (2023-Present)

Current research projects

2023 NIHR CRN, Addressing the Lancashire and South Cumbria region’s mental health needs through research utilising routinely collected data (Mental Health) (PI), with Knight, J. (CI) and NHS LSCFT.

2023 NIHR, Mental Health and Alcohol Use Treatment Pathways Project (MAP), (CI), with Goodwin, L. (PI) and multiple collaborators across Lancaster, Liverpool, Manchester, Kings Universities and others.

2022, Medical Research Foundation, Capturing the daily life experiences and difficulties of adolescents with ADHD, (CO-I, Methods), with Murray, A (PI). and Obsuth, I.

2021, North West Cancer Research, IMmunotherapy and PAlliative CAre Trajectories (IMPACT): a mixed methods study (CO-I, Methods) with Brearley, S. (PI), Gadoud, A., Walshe, C.)

Research Papers

Published/Accepted

Lowther-Payne, H.J., Ushakova, A., Beckwith, A., Liberty, C., Edge, R. and Lobban, F., 2023. Understanding inequalities in access to adult mental health services in the UK: a systematic mapping review. BMC Health Services Research, 23(1), p.1042.

Murray, A., Speyer, L., Thye, M., Stewart, T., Obsuth, I., Kane, J., Whyte, K., Devaney, J., Rohde, L.A., Ushakova, A. and Rhodes, S., 2023. Illuminating the daily life experiences of adolescents with and without ADHD: protocol for an ecological momentary assessment study. BMJ open, 13(9), p.077222.

Diprossimo, L., Ushakova, A., Zoski, J., Gamble, H., Irey, R., & Cain, K. 2023. The associations between child and item characteristics, use of vocabulary scaffolds, and reading comprehension in a digital environment: Insights from a big data approach. Contemporary Educational Psychology, 73, 102165.

Ushakova, A., McKenzie, K., Hughes, C., Murray,  2023, Measurement Invariance of GHQ-12 Across Student and Non-Student Populations using a large UK Longitudinal Study.  Forthcoming in European Journal of Psychological Assessment

Murray, A.L., Ushakova, A., Zhu, X., Yang, Y., Xiao, Z., Brown, R., Speyer, L., Ribeaud, D. and Eisner, M., 2023. Who participates in ecological momentary assessment (EMA)?: Predicting participation willingness in a general population health and behaviour EMA study using machine learning techniques. Journal of medical Internet research.

Speyer, L. G., Ushakova, A., Blakemore, S. J., Murray, A. L., & Kievit, R., 2022. Testing for Within× Within and Between× Within Moderation using Random Intercept Cross-Lagged Panel Models. Structural Equation Modelling.

Ushakova A., Taylor S.A., Killick R., 2022,.Micro-Macro Changepoint Inference for Periodic Data Sequences. Journal of Computational and Graphical Statistics.

Speyer, L. G., Hall, H. A., Ushakova, A., Luciano, M., Murray, A. L., & Auyeung, B. ,2022. Within-Person Relations between Domains of Socio-Emotional Development during Childhood and Adolescence, Research on Child  and Adolescent Psychopathology.

Murray, A. L., Ushakova, A., Speyer, L., Brown, R., Auyeung, B., & Zhu, X., 2021. Sex/gender differences in individual and joint trajectories of common mental health symptoms in early to middle adolescence. JCPP Advances, e12057.

Speyer, L., Ushakova, A., Hall, A., Luciano, M., Auyeung, B., Murray, A. L., 2021, Analyzing Dynamic Change in Children’s Socio-Emotional Development using the Strengths and Difficulties Questionnaire in a large UK Longitudinal Study.   Journal of Abnormal Psychology

Speyer, L., Hall, A., Ushakova, A., Murray, A. L., Luciano, M., Auyeung, B., 2021, Longitudinal Effects of Breastfeeding on Parent- and Teacher-Reported Child Behaviour. Archives of Disease in Childhood  

 Speyer, L., Hall, A., Ushakova, A., C., Murray, A. L., Luciano, M., Auyeung, B., 2020, Links between Perinatal Risk Factors and Maternal Psychological Distress: Network Analysis. Acta Obstetricia et Gynecologica Scandinavica (AOGS)

Ushakova, A. and Mikhaylov,S.J., 2020, Big Data to the Rescue? Challenges in Analysing Granular Household   Electricity Consumption in the United Kingdom. Energy Research and Social Science, Vol 64

Ushakova, A. and Murcio, R., 2018, . Interpreting Smart Meter Data of UK Domestic Energy Consumers. In Longley P., Cheshire J., Singleton A, Consumer Data Research (pp. 120-137), London: UCL Press.  ISBN: 9781787353886

Ushakova, A. and Mikhaylov,S.J., 2018, Predicting Energy Customer Vulnerability from Consumption Behavior, Working Paper, Consumer Data Research Centre