Teaching
Philippe Grosjean teaches data science mainly to biologists (both undergraduate and graduate students). He also teaches marine biology. His courses are focused on practice in data analysis, image analysis and artificial intelligence applied to ecology (including plankton ecology). He is interested by new (digital) pedagogical techniques from recent discoveries about how our brain works (neurophysiology, experimental psychology, techno-pedagogy). His courses (see http://bds.sciviews.org) in blended learning and inverted classes, project-based, and with a continuous evaluation are constantly reworked with techniques valided by learning analytics.
Research
Philippe Grosjean develops three research axes: (1) (semi-)automated plancton identification with image analysis and machine learning, (2) research in the ecology of open source software, and (3) techno-pedagogy applied to teaching biological data science. Previously, he has also worked in aquaculture (se urchins), fisheries science, and ecophysiology of hermatypic corals. He has developped various aquaculture systems and artificial reef mesocosms that closely mimic physico-chemical conditions of a typical lagoon.