Biography

I’m a postdoctoral researcher in the machine learning group headed by Marius Kloft at Humboldt-University of Berlin. My main research interests include machine learning algorithms for text mining (in particular topic modeling), scalable variational inference algorithms, Gaussian processes and I recently started to look into deep neural networks. I received a PhD in natural language processing/machine learning from Leipzig University where my supervisor was Gerhard Heyer. Before that, I completed a Master’s program at Leipzig University and a Bachelor’s program at the University of Cooperative Education in Stuttgart including one term abroad at Staffordshire University’s School of Computing. During my time in Stuttgart, I was also simultaneously employed by IBM Germany where I had the chance to visit IBM’s Almaden research lab in San Jose, California.

Interests

  • Topic modeling
  • Dynamic Bayesian Models
  • Gaussian processes
  • Scalable Baysian Inference

Education

  • PhD in NLP/ML, 2016

    Leipzig University

  • MSc in NLP/ML, 2010

    Leipzig University

  • BSc in Applied Computer Science, 2005

    Stuttgart University of Cooperative Education (BA)

Activities

  • Advances in Approximate Bayesian Inference (Workshop at NIPS), since 2015

    Reviewer, Member of Program Committee

  • NIPS conference, 2016, 2017

    Reviewer, Member of Program Committee

  • Open Civil Engineering Journal, since 2016

    Reviewer

  • Genomics and Computational Biology, since 2016

    Reviewer

  • Digital Humanities Quarterly, since 2016

    Reviewer

Recent Publications

More Publications

  • Exploratory Search Through Interactive Visualization of Topic Models

    Details PDF External

  • Exploring Issues in a Networked Public Sphere: Combining Hyperlink Network Analysis and Topic Modeling

    Details PDF External

  • Scalable Inference in Dynamic Mixture Models

    Details PDF

  • Topics in Social Media for Disaster Management - A German Case Study on the Flood 2013

    Details PDF External

  • I'm currently not teaching, look out for future lectures or seminars.

Contact

  • Office hours: Thursdays, 1 pm - 3 pm
  • +49 (0)30 2093 3167
  • patrick.jaehnichen@hu-berlin.de
  • Machine Learning Group, Humboldt-Universität zu Berlin (Visitors: Rudower Chaussee 25, Bldg. IV, Room 217 (second floor), 12489 Berlin; Postal: Unter den Linden 6, 10099 Berlin)