Gori Camps Tomàs

* Internship and Master's Thesis "Neural Optimal Transport for single-cell perturbation response prediction". * Supported by a full scholarship by the Konrad Zuse School of Excellence in Learning and Intelligent Systems. * Using AI to solve complex mathematical problems. Researching on efficient use of neural networks to learn Optimal Transport maps. * Building on JAX, Flax and OTT-JAX open-source Python packages to engineer architecture and training on lowest level.

* Build and deployed an explainable ML model for cross sell analysis in collaboration with an international external client. * In charge of end-to-end data management and contact with client. * In charge of updating internal Python Package dependencies, providing a full test suite and accompanying documentation.

* Built the Software and Hardware to automatically operate a vacuum chamber for 2D semiconductor research. * Delivered a fully functional valve system operated by a micro-controller.

* Focused on applied mathematical tools and their interaction with AI. * Completed a minor in Quantum Technologies on Semiconductor infrastructures. * Enhanced my coding skills by implementing an efficient metaheuristic for the vehicle routing problem together with a team of 4 students. * Completed additional credits in Physics, Computer Science and Electronic Engineering. * Grade: 1.3

* Bachelor's thesis: "Photothermal analysis of therapeutic nanoparticles". Focuses on the design of an experimental setup to quantify the efficiency of light-to-heat conversion of a given nanoparticle sample to be used in a clinical context.

* Bachelor's thesis: "A key exchange system based on quadratic fields". Focuses on the theoretical construction of a secure cryptographic key exchange protocol. Some aspects related to practicality and usefulness in real world applications are also touched on.