Maya Rao
Maya runs the practical labs and model clinics, with a focus on PyTorch, dataset pipelines, training diagnostics, checkpoint loading, and reproducible evaluation.
- Role
- Teaching Fellow and Technical Tutor
- Affiliation
- Slop University School of Invented Disciplines
- maya.rao@slopu.edu.au
- Contact
- The Technical help area of the course forum, or maya.rao@slopu.edu.au for an individual access problem.
Maya runs the practical labs and model clinics, with a focus on PyTorch, dataset pipelines, training diagnostics, checkpoint loading, and reproducible evaluation.
- Responsibilities: lab facilitation, technical debugging, starter-platform guidance, and formative feedback on whether an experiment is well controlled.
- Support boundary: technical support can help locate and understand a fault, but it will not choose an assessed architecture, training recipe, or report conclusion for a student.
- Contact: the
Technical helparea of the course forum ormaya.rao@slopu.edu.aufor an individual access problem. - Consultation: Thursdays, 16:00–17:00 AET, Compute Commons 2.14. Maya also leads the scheduled online project clinics on Monday, 15:00–16:00 AET, during Weeks 3, 7, and 11.