Yuki Marchetti

Background

Yuki Marchetti is on the faculty of the Department of Data Science and holds a Ph.D. from Kansas State University. Before Porter, Yuki was a data scientist at an e-commerce company.

Yuki's work centers on teaching and curriculum in Bayesian methods and machine learning, including course redesign and mentoring newer instructors.

Areas of expertise

• Bayesian methods
• Machine learning
• Undergraduate research and project mentoring

Teaching

Yuki regularly teaches courses in Data Science, Applied Mathematics. Specific sections and syllabi are listed in the class schedule each term.

Yuki designs courses around clear, visible learning outcomes, frequent retrieval practice, and prompt feedback, and revises the sequence each year based on where students actually get stuck.

Advising and office hours

Yuki advises students in the Data Science programs and holds weekly office hours during the fall and spring terms, posted on the office door and in the course pages. Prospective students are welcome to email to arrange a visit or a call.

Advising conversations usually cover course sequencing, whether to add a minor or a concentration, and how classroom work connects to internships, research, or graduate study. Students who are undecided are welcome; part of the job is helping them narrow things down.

Recent and representative work

Yuki's recent activity centers on teaching scholarship and curriculum work in Bayesian methods and machine learning. Representative items:

• A redesigned course sequence in Bayesian methods, with open or low-cost materials.
• A conference presentation on teaching machine learning at the undergraduate level.
• Mentoring of new instructors and teaching assistants in the department.

Titles and venues here are illustrative. UW–Porter Falls is fictional; Yuki has no real publication record.

Get in touch

The fastest way to reach Yuki is email (ymarchetti@uwporterfalls.edu); messages during the fall and spring terms are usually answered within two business days. Prospective students and families can ask the Data Science department office to set up a call, a class visit, or a meeting during an admitted-student day.