• I worked on a distributed consensus problem in the presence of malicious agents, in collaboration with Prof. Stephanie Gil (REACT Lab, Harvard SEAS). Work accepted for publication to the American Control Conference (ACC 2024).

• Together with my research group, I designed and applied some very nice techniques for proving complexity bounds on a specific opinion dynamic model. Work accepted to PODC 2023.

• I worked with Wikipedia datasets in order to design and implement an online-streaming classifier. This classifier would help protect Wikipedia articles from vandalism and edit wars.

• Together with Nancy Lynch's group from MIT, we designed a drug-delivery method to treat cancer involving nanorobots that coordinate locally, via a distributed process. Work submitted to PNAS

• Harasha, N., Gava, C., Lynch, N., Contini, C. & Mallmann-Trenn, F. - "Modeling Feasible Locomotion of Nanobots for Cancer Detection and Treatment." Submitted to Proceedings of the National Academy of Science (PNAS 2025)

• Berenbrink, P., Cooper, C., Gava, C., Marzagao, D. K., Mallmann-Trenn, F. & Radzik, T. - "On Early Extinction and the Effect of Travelling in the SIR Model." In The 38th Conference on Uncertainty in Artificial Intelligence (UAI 2022).

• Berenbrink, P., Cooper, C., Gava, C., Marzagao, D. K., Mallmann-Trenn, F., Radzik, T. & Rivera, N. - "Distributed Averaging in Population Protocols". In the ACM Symposium on Principles of Distributed Computing (PODC 2023)

• Gava, C., Cavorsi, M., Vekassy, A., Gil, S., Mallmann-Trenn, F. - "Community Consensus: Converging Locally despite Adversaries and Heterogeneous Connectivity"

Additionally, I have been a reviewer for the following conferences:

• UAI 2023