Biography
I am an Assistant Professor in Health Data Science at the University of Cambridge and a Senior Researcher at Dementias Platform UK with strong foundation in mathematical statistics and health data science. I holds an undergraduate degree in statistics, complemented by two Master of Science degrees, in Mathematical Statistics and in Health Data Science. My doctoral research project was focused on, AI and machine learning approaches for risk prediction in patients with atrial fibrillation. With a track record of over 12 years in the field of health data research, I lead the design, analysis, and implementation of national and international projects, focusing on big data in healthcare. My passion lies in advancing healthcare delivery and enhancing patient care through data-driven decision-making. My research portfolio extends to the development of cutting-edge methodologies and advanced analytical techniques.
Beyond my research, I am passionately dedicated to education and mentorship, with a particular focus on postgraduate courses. Drawing on my expertise in data science, analytics, and computational methods, I actively contributes to bring research to the heart of my teaching and using current practices for improving population health.
Research topics
Publications
Journal articles
- Torabi, Fatemeh, Emma Squires, Chris Orton, et al. “A Common Framework for Health Data Governance Standards.” Nature Medicine 2024, Jan. 2024, pp. 1–4, https://doi.org/10.1038/s41591-023-02686-w., 2024
- Torabi, Fatemeh, Chris Orton, Emma Squires, et al. “The Common Governance Model: A Way to Avoid Data Segregation between Existing Trusted Research Environment.” International Journal of Population Data Science, vol. 8, no. 4, Nov. 2023, https://doi.org/10.23889/IJPDS.V8I4.2164., 2023
- Torabi, Fatemeh, Guangquan Li, Callum Mole, et al. “Wastewater-Based Surveillance Models for COVID-19: A Focused Review on Spatio-Temporal Models.” Heliyon, vol. 9, no. 11, Nov. 2023, p. e21734, https://doi.org/10.1016/J.HELIYON.2023.E21734., 2023
- Dale, Caroline E., et al. “The Impact of the COVID-19 Pandemic on Cardiovascular Disease Prevention and Management.” Nature Medicine 2023 29:1, vol. 29, no. 1, Jan. 2023, pp. 219–25, https://doi.org/10.1038/s41591-022-02158-7., 2023
- Dale, Caroline, et al. Use of Sodium Valproate and Other Anti-Seizure Medications in England and Wales During the COVID-19 Pandemic: A Population-Level Analysis of 60 Million Individuals. https://doi.org/10.2139/SSRN.4544777. Accessed 18 Apr. 2024., 2023
- Torabi, Fatemeh, Stuart Bedston, Emily Lowthian, et al. “Risk of Thrombocytopenic, Haemorrhagic and Thromboembolic Disorders Following COVID-19 Vaccination and Positive Test: A Self-Controlled Case Series Analysis in Wales.” Scientific Reports 2022 12:1, vol. 12, no. 1, Sept. 2022, pp. 1–13, https://doi.org/10.1038/s41598-022-20118-6, 2022
- Torabi, Fatemeh, Daniel E. Harris, Owen Bodger, et al. “Identifying Unmet Antithrombotic Therapeutic Need, and Implications for Stroke and Systemic Embolism in Atrial Fibrillation Patients: A Population-Scale Longitudinal Study.” European Heart Journal Open, vol. 2, no. 6, Nov. 2022, pp. 1–12, https://doi.org/10.1093/EHJOPEN/OEAC066., 2022
- Kerr, Steven, et al. “First Dose ChAdOx1 and BNT162b2 COVID-19 Vaccinations and Cerebral Venous Sinus Thrombosis: A Pooled Self-Controlled Case Series Study of 11.6 Million Individuals in England, Scotland, and Wales.” PLOS Medicine, vol. 19, no. 2, Feb. 2022, p. e1003927, https://doi.org/10.1371/JOURNAL.PMED.1003927., 2022
- Abbasizanjani, Hoda, et al. Harmonising Electronic Health Records for Reproducible Research: Challenges, Solutions and Recommendations from a UK-Wide COVID-19 Research Collaboration. Sept. 2022, https://doi.org/10.21203/RS.3.RS-2109276/V1., 2022
- Simpson, C. R., et al. “First-Dose ChAdOx1 and BNT162b2 COVID-19 Vaccines and Thrombocytopenic, Thromboembolic and Hemorrhagic Events in Scotland.” Nature Medicine 2021 27:7, vol. 27, no. 7, June 2021, pp. 1290–97, https://doi.org/10.1038/s41591-021-01408-4., 2021
- Vasileiou, Eleftheria, Colin R. Simpson, Chris Robertson, et al. “Effectiveness of First Dose of COVID-19 Vaccines Against Hospital Admissions in Scotland: National Prospective Cohort Study of 5.4 Million People.” SSRN Electronic Journal, Feb. 2021, https://doi.org/10.2139/ssrn.3789264., 2021
- Vasileiou, Eleftheria, Colin R. Simpson, Ting Shi, et al. “Interim Findings from First-Dose Mass COVID-19 Vaccination Roll-out and COVID-19 Hospital Admissions in Scotland: A National Prospective Cohort Study.” The Lancet, vol. 397, no. 10285, May 2021, pp. 1646–57, https://doi.org/10.1016/S0140-6736(21)00677-2/ATTACHMENT/0E9EEB7D-B073-4425-B336-8350C5A53BF8/MMC1.PDF., 2021
- Torabi, F., Akbari, A., North, L., Harris, D., Davies, G., Gravenor, M., Griths, R., Lyons, J., Jenkins, N., Morris, A., Halcox, J., & Lyons, R. A. (n.d.). Evaluating the effect of COVID-19 on dispensing patterns: a national cohort analysis. https://doi.org/10.21203/rs.3.rs-233848/v1, 2021
- Torabi, Fatemeh, Ashley Akbari, Stuart Bedston, et al. “Impact of COVID-19 Pandemic on Community Medication Dispensing: A National Cohort Analysis in Wales, UK.” International Journal of Population Data Science, vol. 5, no. 4, 2020, https://doi.org/10.23889/IJPDS.V5I4.1715, 2020
- Torabi, F., D. Harris, A. Akbari, et al. “Longitudinal Study of Adherence to Anticoagulation Guidelines in Patients with Atrial Fibrillation.” European Heart Journal, vol. 41, no. Supplement_2, Nov. 2020, https://doi.org/10.1093/ehjci/ehaa946.3524., 2020
- Lyons, Jane, et al. “Understanding and Responding to COVID-19 in Wales: Protocol for a Privacy-Protecting Data Platform for Enhanced Epidemiology and Evaluation of Interventions.” BMJ Open, vol. 10, no. 10, Oct. 2020, p. e043010, https://doi.org/10.1136/bmjopen-2020-043010., 2020
- Torabi, F., Lee-Lane, E., Lacey, A., Fonferko-Shadrach, B., Harris, D., Akbari, A., Lyons, R. A., Rees, M., Sawhney, I., Halcox, J., Powell, R., & Pickrell, W. O. (2020). A National Level Case-Control Study for Determining Risk of Major Cardiovascular Events in People with Epilepsy. International Journal of Population Data Science, 5(5). https://doi.org/10.23889/ijpds.v5i5.1539, 2020