Short CV

Education

• Ph.D. in Statistical Machine Learning, UCL, Department of Statistical Science. 2026 – present
  Funded by the EPSRC CDT in Collaborative Computational Modelling at the Interface (CCMI).
• M.Sc. in Mathematics, Technical University of Munich (TUM). 2021 – 2024
  Final grade: 1.0 (with high distinction).
  Thesis: Stochastic Online Scheduling on Parallel Machines, supervised by Prof. Andreas S. Schulz.
• B.Sc. in Mathematics, Sapienza University of Rome. 2018 – 2021
  Final grade: 110/110 cum laude.
  Thesis: MCMC and Simulated Annealing, supervised by Prof. Elena Agliari.
• Scientific High School Diploma, Liceo G.B. Morgagni, Rome. 2013 – 2018
  Final grade: 100/100 cum laude.

Work Experience

• Mathematical Consultant, Smith Institute, Oxford. Oct 2024 – Sep 2026
• Student Research Assistant, Fraunhofer IKS (Reasoned AI for Healthcare), Munich. Jun 2023 – Dec 2023
• Data & Analytics Intern, Munich Re, Munich. Aug 2022 – Dec 2022
• Teaching Assistant, Sapienza University of Rome. Mar 2021 – Jul 2021

Awards and Scholarships

• Master’s Thesis Award, German Operations Research Society (GOR) - News. 2025
• Women in CIT Diversity Award, TUM. Jul 2024
• Deutschlandstipendium, Federal Ministry of Education and Research. Jan 2024 – Oct 2024
• DAAD Scholarship, German Academic Exchange Service. Oct 2022 – Jan 2024
• Bonus Esami Scholarship, Sapienza University of Rome. 2020 - 2021
• Honours Program, Sapienza University of Rome. Jan 2020 – Jul 2021

Volunteering

• Women in Computer Science, TUM. Co-organised internal and external events promoting equitable participation of underrepresented groups in Computer Science and STEM.
• Student Faculty Representative, Sapienza University of Rome.

Publications

Stochastic Online Scheduling on Parallel Machines: Theoretical Analysis and Computational Studies on the Performance Guarantees of Deterministic and Randomized Algorithms

Robust Prediction under Missingness Shifts

Rockenschaub, P., Xian, Z., Zamanian, A., Piperno, M., Ciora, O. A., Pachl, E., Ahmidi, N. (2024). "Robust Prediction under Missingness Shifts." arXiv preprint arXiv:2406.16484. https://arxiv.org/abs/2406.16484

Analysis of Missingness Scenarios for Observational Health Data

Zamanian, A., von Kleist, H., Ciora, O.-A., Piperno, M., Lancho, G., Ahmidi, N. (2024). "Analysis of Missingness Scenarios for Observational Health Data." Journal of Personalized Medicine, 14(5), 514. https://doi.org/10.3390/jpm14050514