MRes Student in the Department of Chemistry since 2018
+
+ 2018-2019: MRes Molecular Science & Engineering, Imperial College London
+ 2019-date: PhD in Theory & Simulation of Materials, Imperial College London
Supervisors: Dr. Stefano Angioletti-Uberti
+## Projects and Research
+
+ Monte Carlo Simulations of Multivalent Systems for Biomedical Applications
+Our main research aim is to develop, validate and implement theoretical and simulation frameworks for the study of multivalent interactions in the context of real-life applications. In particular we intend to achieve a more extensive and detailed description and understanding of real applications' conditions: a range of never-before investigated factors have been taken into account and their effect on the selective potential of multivalent interaction is being currently gauged.
+
+Most of our work focuses on DNA Coated Colloids (DNACCs) in a diagnostic application setting, but our main results are general and should be readily extendable to capture the behaviour of different multivalent systems. Our two main projects are focusing respectively: on the influence of colloidal shape on the adsorption profile of DNACC on a receptor-decorated surface; on the applicability of DNACCs amorphous phase transition as a recognition event in diagnostic devices.
+
+ Additional Research Projects
+In parallel with our main project we have and still are collaborating with other academic groups on secondary research projects. In particular:
+
+- We have collaborated with members of the Kraft Lab from Leiden University on the development of a novel experimental protocol and a theoretical kinetics model for the adsorption of DNACCs. While our collaborators provided the experimental data we focused on the optimisation and computational implementation of a model to fit, analyse and interpret the data.
+
+- We are currently collaborating with the Computational Soft Matter research group from Nanyang Technological University from Singapore on the development of a Deep Neural Network for a fast and reliable prediction of the kinetics of reaction-rate based systems. A possible application to DNA origami folding kinetics is being considered as final validation of the results.
+