New analysis techniques were inspired and facilitated by the large available data set from Run 2 of the LHC, leading to unprecedented sensitivity to top squarks with masses up to 1.3 TeV.
I will present novel methods based on machine learning and elaborate algorithms, and show the latest results from these searches. By combining a comprehensive set of individual analysis channels we are able to further tighten these constraints, leading to results that will set a legacy for years to come.