Joachim Daiber

About me

I am an applied scientist focused on machine learning and practical engineering. I was a co-founder and CTO of Objective, Inc. (TechCrunch), which was acquired by Upwork in November 2024. Previously, I was a Staff Machine Learning Engineer at Apple in California.

I received my PhD at the University of Amsterdam, where I worked with Prof. Khalil Sima’an on machine translation. From 2011 until 2013, I was a Master’s student in the EM LCT programme in Computational Linguistics at Charles University in Prague and the University of Groningen. In my Master thesis, I worked on robust dependency parsing of noisy content with Gertjan van Noord and Dan Zeman. During my undergraduate studies at Freie Universität Berlin, I worked at the German Research Center for Artifical Intelligence.

See my full CV here or connect at GitHub, LinkedIn or write an email to daiber.joachim [at] gmail.com.

Research Interests

My research interests are in applications and evaluation of large language and vision models, machine translation, entity linking and dependency parsing.

• See my publications on Google Scholar
• Code and data for my publications

Software and data

• Semantic analogy-based compound splitter: An unsupervised compound splitter based on the regularities in the vector space of word embeddings.
• The Denoised Web Treebank: Dependency treebank for evaluation of parser robustness.
• FilmTit: Translation memory application for movie subtitles.
• DBpedia Spotlight: I created an efficient and more accurate version of the multilingual entity linking system DBpedia Spotlight.
• Raw Spotlight data: Raw counts for entity linking in many languages.

Blog Posts

• 15 Jan 2018 ~ Photos: 2017 in Photos
• 04 Jan 2017 ~ Books: 2016 in Books
• 12 Jan 2015 ~ Travel: Vietnam 2014
• 22 Nov 2014 ~ Poem: Ithaka by Constantine P. Cavafy
• 21 Nov 2014 ~ Poem: Still I Rise by Maya Angelou