Talks:

• Inference of Regulatory Relationships in Human Urothelial Cancer; at the 33th conference on Information Technology and Systems (ITAS2010) in Gelendzhik, Russia, September 23, 2010.
• A Study of Dynamic Time Warping for the Inference of Gene Regulatory Relationships; at the 34th conference on Information Technology and Systems (ITAS2011) in Gelendzhik, Russia, October 3, 2011.

Poster:

• Böck, M, Kaderali, L, Ogishima, S, and Kramer,S (2009). Bayes Meets Boole: Bayesian Learning of Boolean Regulatory Networks from Expression Data. Third International Workshop on Machine Learning in Systems Biology (MLSB09).

(Co-)Reviewing:

• ACM Symposium on Applied Computing (SAC-2010) Data Mining Track
• The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD-2010, 2011)
• IEEE International Conference on Data Mining (ICDM-2010)
• Conference on Knowledge Discovery and Data Mining (KDD-2011)

• seit Aug. 2009: Doktorand an der Technischen Universität München (TUM), Lehrstuhl für Data Mining  und Machine Learning in der Bioinformatik; Stipendium der Graduiertenschule  RECESS  (www.cellular-systems.de) in Zusammenarbeit mit der  Moscow State Universität, Supervisor: Prof. Kramer, Thema: Network-based interpretation of gene regulatory  systems

• Aug. 2007 - Aug. 2008: Diplomarbeit an der Ruprecht-Karls-Universität Heidelberg, Viroquant Institut, Modelling Gruppe, Supervisor: Dr. Kaderali, Thema: Bayesian learning on Boolean gene regulatory networks inferred from expression data
• Okt. 2002 - Dez. 2008: Studium der Bioinformatik an der Ludwig-Maximilians-Universität (LMU) und der Technischen Universität München (TUM)
• Sept. 2006 - Feb. 2007: TUM LAOTSE Stipendium, Chinesisch Studium an der Shanghai Jiao Tong Universität (SJTU)

• Hauptseminar Bioinformatik (WS09/10)
  
• Hauptseminar Bioinformatik (SS10)
• Hauptseminar Bioinformatik (WS10/11)
• Proseminar Bioinformatik (SS11)
• Data Mining Lab Course (SS11)