Caetano has advanced degrees across different domains of exact and natural sciences, complete with a Ph.D. in Computational Biology, and several years of multidisciplinary postdoctoral experience in intersections of areas of knowledge that few people are truly qualified to evaluate. He has extensive and intensive experience teaching full-semester courses in core mathematical subjects, multidisciplinary areas, as well as several seminars and workshops, in addition to being a certified Software and Data Carpentries Instructor.

Caetano is also responsible for the hard task of writing everyone's description including his own in third person, and do justice to his qualifications without overselling them; nevertheless, he will not shy away touting all the the well deserved honors and achievements of his Aurora Collective teammates.

Ana holds a Ph.D. in Immunology with Postdoctoral training in Heme metabolism. She also has several years of experience in scientific attraction and professional development. Ana has developed and mentored scientists directly, taught several courses, workshops, summer programs, in addition to supporting institutional, cross-institutional, and extra-institutional efforts to improve scientific research environments in particular and knowledge spaces in general.

Ana has been using this blend to learn about what is important for the growth of professionals, and to guide them through the many possible routes that lead to their individual and organizational goals.

Daniel has advanced degrees in plant biology, a Ph.D. in computational biology, and extensive postdoctoral experience in world-renowned institutions. In addition to academic accolades and metrics like number of citations, number of undergraduates taught, publication indices, positions as journal reviewer, usually counted in the hundreds to thousands, Daniel is someone who is able to do research in topics as far apart as binary star systems, polen tubes, advanced data visualization/presentation and CHUKNORRIS.

Daniel can do it all: formulate hypotheses, develop mathematical models, analyze data, present beautiful visuals that make the covers of top journals, ride a monocycle, and play the trumpet -- albeit not always at the same time.