Fredrik D. Johansson, PhD
Postdoc @ MIT (IMES)
PhD in Computer Science from Chalmers University of Technology,
advised by Prof. Devdatt Dubhashi

Research

My research interests are primarily focused on causal inference in machine learning. I have also been working on graph related methods and problems, including graph kernels and probabilistic graphical models.

I am part of the Clinical Machine Learning group at IMES at Massacusetts Institute of Technology working with Professor David Sontag.

I used to work in the LAB group at the Computer Science department of Chalmers University of Technology, Sweden.

Here is my CV (April '17).

Contact

You can contact me by email at ml(at)fredjo.com or by coming to my office at 45 Carleton St, E25-545d at MIT.

Publications

Here is my Google Scholar profile.

Peer-reviewed conference publications

Journal articles

  • Nina Tahmasebi, Lars Borin, Gabriele Capannini, Devdatt Dubhashi, Peter Exner, Markus Forsberg, Gerhard Gossen, Fredrik D Johansson, Richard Johansson, Mikael Kågebäck, Olof Mogren, Pierre Nugues, Thomas Risse. Visions and open challenges for a knowledge-based culturomics. Int J Digit Libr (2015) 15: 169, 2015

Workshop papers

PhD Thesis

Software & Data

Matching Kernels is a package of graph kernels for MATLAB.

Lovasz-theta Kernel is a package of graph kernels for MATLAB.

DLOREAN is a software for inferring multi-way dynamic networks from node data.

Entity Graphs is a collection of graphs of entity interactions built from data collected by Recorded Future.

Teaching

I have co-developed and co-taught the course Deep Learning

Additionally, I have been a teaching assistant in the following courses at Chalmers University of Technology: