My teaching¶

I teach in the Bachelor AI (Kunstmatige Intelligentie) at the UvA. I am course coordinator for the mandatory Data Structures and Algorithms course, as well as for a brand new elective course Machine Learning for Structured Data.

I enthusiastically supervise bachelor and master theses at the UvA: don’t hesitate to contact me if you are an interested UvA student.

Machine Learning for Structured Data¶

UvA Bachelor AI elective, year 3. course materials

• Fall 2023
• Fall 2022

Algorithms and Data Structures¶

UvA Bachelor AI, mandatory, year 2.

• Spring 2024
• Spring 2023
• Spring 2022
• Spring 2021

Other teaching¶

• Fall 2019: Co-instructor, Deep Structured Learning (IST)
• ACL 2019 Tutorial on Latent Structure Models for NLP with Tsvetomila Mihaylova, Nikita Nangia, and André Martins.
• Feb. 2015, ASDA@UIUC: NLP-centric scikit-learn tutorial [ github ] & lessons learned from scikit-learn [ pdf ] [ pptx ]

Ancient history¶

As teaching assistant at IST¶

• Fall 2018: Deep Structured Learning (IST)
  • Guest lecture: Neural Attention Mechanisms.

As teaching assistant at Cornell¶

• Fall 2017: CS 4740/5740: Introduction to NLP.
• Fall 2016: CS 4740/5740: Introduction to NLP.
• Spring 2016: CS 4786/5786: Machine Learning for Data Science.
• Spring 2015: INFO/CS 4300: Language and Information.

As teaching assistant at the University of Bucharest¶

• Spring 2012: Graph algorithms (“Algoritmica grafurilor”).