For students

Resources

The things I hand to students.

01 / Guide

Using GenAI in your coursework

What informed use looks like in practice: when to disclose, how to verify, and the questions to ask before you paste anything in.

Download the guide (PDF)

Drawn from the GenAI-literacy study written up for CSEDU 2026. Read it before the first assignment that allows these tools.

02 / Code

Code from the papers

Implementations and evaluation scripts, published per paper. Clone what you need; the READMEs list the datasets and how to reproduce the figures.

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Repository links are added as each paper's code goes public. Email me (contact) for anything not yet listed.

03 / Reading

Recommended reading

Books I point students to, roughly in the order I would read them.

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04 / Thesis

The doctoral thesis

The full argument behind the publication list: how far multivariate time-series data can be perturbed before it stops being useful, and how to measure where that line sits.

Read the thesis (PDF)

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Listed on Google Scholar