Classical computational geometry usually deals with linear objects in a Euclidean setting and when other situations happen, curved objects are typically linearized and non-Euclidean spaces are locally approximated by Euclidean spaces. The goals of the Gamble team are to address such limitations of classical computational geometry.

• Non-linear computational geometry.
• Non-Euclidean computational geometry.
• Probability in computational geometry.
• Discrete geometric structures.

Annual activity reports: 2017, 2018, 2019, 2020, 2021. 2022.