Fork me on GitHub

About me

I am a research scientist at RISE AI (Research institutes Sweden).

March 23, 2018, I defended my PhD thesis, Representation learning for natural language (click for details). The last five years, I have spent as a PhD student in the machine learning research group at Chalmers university of technology, working on deep learning and natural language processing. I have worked on summarization, dialogue systems, adversarial training, and character-based RNNs for sequence labeling and morphological analogies. I am also interested in convnets for language and policy gradient methods.

I find attention models and neural machine translation fascinating, and listen to the Talking Machines podcast every two weeks.

I tweet and blog about things I find interesting, and give talks in our popular seminar series at the department and other events. During 2016-2017, I was the organizer of the seminar series. Most of my recent code is written in Python with Pytorch, and I am also familiar with Tensorflow, Theano, and Lasagne.

Richard Johansson and Devdatt Dubhashi was my supervisors.

My Licentiate Thesis, titled "Multi-Document Summarization and Semantic Relatedness", was defended on November 20th, 2015. Tapani Raiko from Aalto University was discussion leader. Read more about this. My master's thesis was about small-world network models in realistically geographical settings. Read more about this.

Teaching

During period four (March-May 2016), I developed and taught a PhD course in Deep Learning, together with Mikael Kågebäck and Fredrik Johansson. The course covered some of the most important topics in the field, including convolutional neural networks, recurrent neural networks, unsupervised methods, and regularization techniques. We used a “flipped classroom” approach, with video lectures from some of the best researchers in the field, along with discussion sessions. Read more at the course web page.

I also supervise a number of master students.

Furthermore, I have taught the following courses.

Other things

During 2016-217, I was the organizer of Chalmer Machine Learning Seminars.

When not doing research or teaching, I am a long distance runner and the lucky father of two wonderful children.

Contact

Email: first name at last name dot one.
Telephone: +46-703-969624.
Follow me on LinkedIn, Twitter, or RSS.

Olof Mogren Decisions, networks and analytics lab (DNA), RISE SICS

LinkedIn Twitter Atom/RSS Feed