Nico Görnitz




Berlin Institute of Technology
Department of Software Engineering
and Theoretical Computer Science
Machine Learning Group
Marchstr. 23
Berlin, 10578, Germany

nico.goernitz[at]tu-berlin.de
 

[ Bio | Teaching | Research | Publications | Supplements | Code | Activities ]


Short Bio

    After an internship with the eScience Group, led by David Heckerman (Microsoft Research, Los Angeles, US) in 2014, I received a scholarship and am currently enrolled as a PhD student in the machine learning group at the Berlin Institute of Technology (Berlin, Germany) headed by Klaus-Robert Müller. Before, I was employed as a research assistant from 2010-2014 and during 2010-2012 also affiliated with the Friedrich Miescher Laboratory of the Max Planck Society in Tübingen, where I was co-advised by Gunnar Rätsch. I received a diploma degree (MSc equivalent) in computer engineering (Technische Informatik) from the Berlin Institute of Technology with a thesis in machine learning for computer security in 2010.


Teaching



Research Interests

    I am interested in all kinds of machine learning and have mainly been working on density level-set estimation, large-margin structured output learning and corresponding optimzation techniques. Applications I have been working on cover Computational Biology (DFG funded project on 'Learning with Sequence Data'), Computer Security (BMBF funded project 'ReMIND'), Computational Sustainability (BMBF funded project 'ALICE: autonomuous learning in complex environments') but also Brain-Computer-Interface and Native Language Processing.


Publications (* for joint first author)


Supplements

  • (Invited Lecture) Machine Learning II Structured output prediction, Berlin Institute of Technology, Winter 2010/2011)

Code

  • mTIM: margin-based transcript mapper matlab/c implementation on GitHub
  • tilitools: LatentSVDD, SVDD, OcSVM, Structured Output SVM, Semi-supervised Anomaly Detection , lp-Norm Multiple Kernel Learning Wrapper, as python scripts on GitHub

Activities

2014
Nominated representative for BMBF founded ALICE project at the CeBIT trade show.

Reviewer: JMLR, ICPR, NIPS, TPAMI
2013
ISCB Member

Reviewer: GCPR, MLSP, NIPS, TNNLS.

Program Comittee: IDA Seminar Schloss Wulkow.
2012
ISCB Member

Reviewer: ICPR, TNNLS.

Mentor: GSoC (Google Summer of Code); Building a generic structured output learning framework (for Shogun).
2011
ISCB Member

Program Committee: IJCAI (22th International Joint Conference on Artificial Intelligence).

Reviewer: DAGM, ICML, STCO.

Mentor: GSoC (Google Summer of Code); Building a generic structured output learning framework (for Shogun).
2010
Reviewer: CSDA, ECML, NIPS, TAAI.




Page style borrowed from Ulf Brefeld
*The original publication is available at http://www.acm.org
**The original publication is available at http://www.springerlink.com