I am a happy postdoc at 一本道. My main research focus revolves around unsupervised methods, encompassing clustering methods and at the moment PU learning.
My PhD was done between Cote d'Azur University (France) and Laval University (Canada), addressing the challenge of discriminative clustering for aortic stenosis data, a severe cardiac disease.
Nowadays, I maintain applied machine learning algorithms to material science, for instance MAX-phase to MXen structure change. This involves PU learning, still clustering, and perhaps more to discover on the way. Stay tuned and do not hesitate to contact!
For complimentary details, you are welcome to take a look at my .
