Program Organization

 

Staff

Program Coordinator
Fabrizio Ceciliani

Deputy
Davide Danilo Zani

PhD program support office
Carolina Hernandes (phdcourse.vas@unimi.it)

Administrative office
Rosa Balsamo (amministrazione.vas@unimi.it)

Doctorate Council members

Quality Assurance (QA)

Quality Assurance (QA) of research doctorates is inspired by the principles contained in the University Quality Policies and is implemented by monitoring and evaluating, in research doctorates, the management of research doctorates with a view to continuous improvement.

Quality Board

Alessia Libera Gazzonis (QA delegate for the PhD)

Valeria Martini
Sara Panseri
Laura Filippone Pavesi
Elena Andreoli
Carolina Hernandes

Guidance Panel

Guidance Panel

Fabrizio Ceciliani (Program Coordinator).
Alessia Libera Gazzonis (Responsible QA VAS).
Elena Andreoli.

Industrial Stakeholders:
Dr. Martina Perissinoto, ditta SILA S.r.l.
Dr. Carmelo Gagliano, S.A.L.F. Spa
Dr. Daniele Giaccone, Associazione Regionale Allevatori Piemonte

Non academic Research:
Dr.ssa Giovanna Lazzari, Avantea S.r.l.
Dr.ssa Rita Vassena, EUGIN, Spain

Veterinary Practice:
Dr. Vezzoni, Medico Veterinario, Clinica Veterinaria Vezzoni

Non national Academic researchers:
Angela Cánovas, Università of Guelph, Canada

Alumni Association:
Dr. Matteo Dell’Anno
Dr.ssa Silvia Grossi
Dr.ssa Martina Penati

Doctoral student representatives:
Dr. Niko Gioacchino Zeni

The PhD satisfaction survey (36th, 37th, and graduates) are online

We hereby publish the reports on surveys from doctoral students launched by the University at the beginning of October 2023.
The survey was carried out according to the indications of the Policy  and addressed using two distinct questionnaire models:

  • PhD students enrolled in the 1st and 2nd year of the course (and 3rd year for four-year courses);
  • PhD students enrolled in the course last year.

The QA team of the PhD program has planned a meeting with all the students to discuss in detail the weak points highlighted by the two questionnaires and how to come up with them.
These results are significant for the overall assessment of the VAS PhD program.