I am a final year PhD student in Decision Sciences at the Alliance Manchester Business School . I have a Bachelor of Social Sciences in Criminology and Quantitative Methods and a Master of Science in Data Science (Business & Management). My current research draws on tools from operations research and machine learning to guide the optimisation of the manufacturing tasks and delivery strategies of personalised medical products .

I am also an Enrichment Student at The Alan Turing Institute working on collaborative research, reproducibility, project design, and data quality. I cannot recommend enough the resource available in The Turing Way and The Open Life Science community.

My main lies somewhere in the intersection between data science and decision sciences . I am particularly interested in optimisation problems addressing social sustainability issues in the fields of logistics and supply chain management. As you can probably tell from my Degrees,I have an interdisciplinary background and have in the past worked on topics like international migration, social media data, sentiment analysis, cryptomarkets, drug consumption, and illegal supply chains in both industry and academia.

I am also a Software Engineer Instructor with Code First Girls

Publications

Avramescu, A., & Wiśniowski, A. (2021). Now-casting Romanian migration into the United Kingdom by using Google Search engine data. Demographic Research, 45, 1219–1254. DOI:10.4054/demres.2021.45.40

Avramescu, A., Allmendinger, R., & López-Ibáñez, M. (2021). Managing Manufacturing and Delivery of Personalised Medicine: Current and Future Models. arXiv preprint arXiv:2105.12699.

Avramescu A., Allmendinger R., López-Ibáñez, M., Lopes, A. (2021). Towards a Holistic Supply Chain Model for Personalised Medicine. Supplemental Conference Proceedings for the Short Papers (Non-peer reviewed) of IEEE CIBCB 2021. DOI:10.25955/1a39-wk54

Avramescu, A., Allmendinger, R., & López-Ibáñez, M. (2021). A Multi-objective Multi-type Facility Location Problem for the Delivery of Personalised Medicine. Applications of Evolutionary Computation Lecture Notes in Computer Science, 388–403. DOI:10.1007/978-3-030-72699-7_25