Working on next-generation compliance and safety evaluations of generative AI, particularly focusing on large language models.

Worked on efficient methods to perform zero-shot and weakly-supervised referring image segmentation (i.e., segmenting an object in an image that is referred in a natural language sentence), achieving new state-of-the-art performance in the field.

Extended the certified robustness technique of randomized smoothing from isotropic isotropic balls to anisotropic certificates through a simplified Lipschitz analysis-based framework.

• Led the development of safe and scalable optimization-based motion planning algorithms, working in a team with research scientists and software engineers
• Published and presented research work developed at top tier conferences and journals within the robotics community, as well as to non-technical audiences
• Wrote and reviewed research and development code, ensuring CI with other tools within the company
• Carried out literature reviews, prepared and presented cutting edge research at paper reading groups

Studied and developed new methods to perform pose estimation through vanishing points in general (central and non-central) omnidirectional cameras which lead to the publication of a paper in one of the top conferences in the field, IEEE CVPR 2018.

Relevant courses: Data Estimation & Inference, Machine Learning, Reinforcement Learning, Discriminative & Deep Learning for Big Data
Supervisors: Prof. Philip H.S. Torr, Dr. Adel Bibi and Dr. Pawan Kumar (Google DeepMind)

Relevant courses: Computational Game Theory, Probabilistic Model Checking
Dissertation: “To Err is Human: Designing Correct-by-Construction Driver Assistance Systems using Cognitive Modelling”
Supervisors: Dr. Morteza Lahijanian and Prof. Marta Kwiatkowska

Relevant courses: Applied Machine Learning, Image and Video Processing, Lab in Image and Signal Processing
Awarded a monthly scholarship under the Swiss-European Mobility Programme

Relevant courses: Algorithms and Data Structures, Signals and Systems, Computational Mathematics, Automatic Control
Top 2% of the class
Academic Excelency Award every year and for the end of the BSc (3 years)