I started my journey in criminology and social statistics, fascinated by patterns in human behavior and social systems 🕵️♀️. This curiosity led me down a path where I discovered that the same analytical tools used to understand crime networks could optimize supply chains, and methods for studying social inequality could improve healthcare delivery.
My PhD in AI Decision Sciences became a playground for exploring how machine learning and operations research could solve real-world problems 🧠. Along the way, I've worked on everything from analyzing illegal drug markets to optimizing personalized medicine manufacturing - always drawn to projects where data science meets social impact ✨.
I'm passionate about the intersection of technology and social good, whether that's building systems that make data more accessible or teaching others to code 👩💻. My work spans Python, R, SQL, and various visualization tools, but what really drives me is turning complex datasets into stories that help people make better decisions 📈.
Always happy to collaborate on projects that use data to make the world a little bit better 🌍.
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