Eingabe löschen

Kopfbereich

Schnellnavigation

Hauptnavigation

Dr. Jasmina Bogojeska

Dr. Jasmina Bogojeska

Dr. Jasmina Bogojeska

ZHAW School of Engineering
Centre for Artificial Intelligence
Technikumstrasse 71
8400 Winterthur

+41 (0) 58 934 79 59
jasmina.bogojeska@zhaw.ch

Persönliches Profil

Tätigkeit an der ZHAW

Wissenschaftlerin, Dozentin

www.zhaw.ch/en/engineering/institutes-centres/cai/

Arbeits- und Forschungsschwerpunkte, Spezialkenntnisse

Maschinelles Lernen, Deep learning, (erklärbare) künstliche Intelligenz, Data Science, Bioinformatik

Aus- und Fortbildung

Promotion, Dr. rer. nat., Max-Planck Institut für Informatik/Universität des Saarlandes, 2011
Master Informatik, Universität des Saarlandes, 2007

Beruflicher Werdegang

Heute: Dozentin an der ZHAW
2022: Senior Principal Data Scientist, Roche
2013-2021: Wissenschaftler Maschinelles Lernen, IBM Forschungslabor-Zurich
2011-2012: Wissenschaftler (Postdoc), Max-Planck Institut für Informatik
2007-2011: Wissenschaftler, Max-Planck Institut für Informatik

Mitglied in Netzwerken

Data Lab, the ZHAW data science laboratory

Publikationen vor Tätigkeit an der ZHAW

Lukas Fromme, Jasmina Bogojeska, Jonas Kuhn. ContextGen: Targeted Data Generation
for Low Resource Domain Specific Text Classification. Proceedings of the 25th
International Conference on Artificial Intelligense and Statistics (AISTATS) 2022.

Mattia Atzeni, Jasmina Bogojeska, Andreas Loukas. SQALER: Scaling Question
Answering by Decoupling Mulit-Hop and Logical Reasoning. Advances in Neural
Information Processing Systems (NIPS) 2021.

Jasmina Bogojeska, David Lanyi, Mirela Botezatu, Dorothea Wiesmann. ezNL2SQL: A
System for Network Devices Management with a Natural Language Interface for
Databases. IFIP/IEEE International Symposium on Integrated Network Management (IM)
2021.

Jasmina Bogojeska, Ioana Giurgiu, George Stark, Dorothea Wiesmann. IBM Predictive
Analytics Reduces Server Downtime. INFORMS Journal on Applied Analytics 2021.

Chenjie Wan, Nadine Bachmann, Venelin Mitov, François Blanquart, Susana Posada, Teja
Turk, Kathrin Neumann, Niko Beerenwinkel, Jasmina Bogojeska, Jaques Fellay, Volker Roth,
Jürg Böni, Matthieu Perreau, Thomas Klimkait, Sabine Yerly, Manuel Battegay, Andri Rauch,
Alexandra Calmy, Pietro Vernazza, Enos Bernasconi, Matthias Cavassini, Karin J. Metzner,
Huldrych F. Günthard, Roger D. Kouyos and the SHCS. Heritability of the HIV-1 reservoir
size and decay under long-term suppressive ART. Nature Communications 2020.

Christian W Thorball, Alessandro Borghesi, Nadine Bachmann, Chantal Von Siebenthal,
Valentina Vongrad, Teja Turk, Kathrin Neumann, Niko Beerenwinkel, Jasmina Bogojeska,
Volker Roth, Yik Lim Kok, Sonali Parbhoo, Mario Wieser, Jürg Böni, Matthieu Perreau,
Thomas Klimkait, Sabine Yerly, Manuel Battegay, Andri Rauch, Patrick Schmid, Enos
Bernasconi, Matthias Cavassini, Roger D Kouyos, Huldrych F Günthard, Karin J Metzner,
Jacques Fellay, and the SHCS. Host genomics of the HIV-1 reservoir size and its decay
rate during suppressive antiretroviral treatment. JAIDS 2020.

Jan A. Roth, Gorjan Radevski, Catia Marzolini, Andri Rauch, Huldrych F. Günthard, Roger
D. Kouyos, Christoph A. Fux, Alexandra U. Scherrer, Alexandra Calmy, Matthias Cavassini,
Christian R. Kahlert, Enos Bernasconi, Jasmina Bogojeska, Manuel Battegay and SHCS.
Cohort-derived machine learning models for individual prediction of chronic kidney
disease in people living with HIV: a prospective multicentre cohort study. The Journal of
Infectious Diseases (JID) 2020.

Nadine Bachmann, Chantal von Siebenthal, Valentina Vongrad, Teja Turk, Kathrin Neumann,
Niko Beerenwinkel, Jasmina Bogojeska, Jacques Fellay, Volker Roth, Yik Lim Kok, Christian
W Thorball, Alessandro Borghesi, Sonali Parbhoo, Mario Wieser, Jürg Böni, Matthieu
Perreau, Thomas Klimkait, Sabine Yerly, Manuel Battegay, Andri Rauch, Matthias Hoffmann,
Enos Bernasconi, Matthias Cavassini, Roger D Kouyos, Karin J Metzner, Huldrych Günthard.
Determinants of HIV-1 reservoir size and long-term dynamics during suppressive ART.
Nature Communications 2019.

Jasmina Bogojeska, Dorothea Wiseman. Transfer Learning for Server Behavior
Classification in Small IT Environments. NOMS 2018.

Ioana Giurgiu, Dorothea Wiesmann, Jasmina Bogojeska, David Lanyi, George Stark, Rodney
Wallae, Marcelo Pereira, Alexander Hidalgo. On Adoptation and Impact of Predictive
Analytics for Server Incident Reduction. IBM Journal of Research and Development 2017.

Sonali Parbhoo, Jasmina Bogojeska, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez.
Combining Kernel and Model Based Learning for HIV Therapy Selection. AMIA 2017.

Mirela Botezatu, Ioana Giurgiu, Jasmina Bogojeska, Dorothea Wiseman. Predicting Disk
Replacement towards Reliable Data Centers. SIGKDD 2016.

Mirela Botezatu, Jasmina Bogojeska, Ioana Giurgiu, Hagen Volzer, Dorothea Wiseman.
Multi-View Incident Ticket Clustering for Optimal Ticket Dispatching. SIGKDD 2015.

Andrii Maksai, Jasmina Bogojeska, Dorothea Wiseman. Hierarchical Incident Ticket
Classification with Minimal Supervision. ICDM 2014.

Johannes Schneider, Jasmina Bogojeska, Michail Vlachos. Solving Linear SVMs with
Multiple 1D Projections. CIKM 2014.

Jasmina Bogojeska, Ioana Giurgiu, David Lanyi, George Stark, Dorothea Wiseman. Impact
of HW and OS Type and Currency on Server Availability Derived from Problem ticket
Analysis. NOMS 2014.

Ioana Giurgiu, Jasmina Bogojeska, Sergii Nikolaiev, George Stark, Dorothea Wiseman.
Analysis of Labor Efforts and their Impact Factors to Solve Server Incidents in
Datacenters. CCGRID 2014.

Jasmina Bogojeska, David Lanyi, Ioana Giurgiu, George Stark, Dorothea Wiseman.
Classifying Server Behavior and Predicting Impact of Modernization Actions. CNSM
2013.

Jasmina Bogojeska, Daniel Stöckel, Maurizio Zazzi, Kaiser Rolf, Incardona Francesca,
Rosen-Zvi Michal, Thomas Lengauer. History-alignment models for bias-aware prediction
of virological response to HIV combination therapy. AISTATS 2012.

Jasmina Bogojeska, Thomas Lengauer. Hierarchical Bayes model for predicting outcomes
of HIV combination therapies. SAGMB 2012.

Jasmina Bogojeska. History distribution matching method for predicting effectiveness of
HIV combination therapies. NIPS 2011.

Hiroto Saigo, Andre Altmann, Jasmina Bogojeska, Fabian Müller, Sebastian Nowozin,
Thomas Lengauer. Learning from past treatments and their outcome improves prediction
of in vivo response to anti-HIV therapy. Statistical Applications in Genetics and Molecular
Biology 2011.

Jasmina Bogojeska, Steffen Bickel, André Altmann, Thomas Lengauer. Dealing with sparse
data in predicting outcomes of HIV combination therapies. Bioinformatics 2010.

Jasmina Bogojeska, Adrian Alexa, André Altmann, Thomas Lengauer, Jörg Rahnenführer.
Rtreemix: an R package for estimating evolutionary pathways and genetic progression
scores. Bioinformatics 2008.

Steffen Bickel, Jasmina Bogojeska, Thomas Lengauer, Tobias Scheffer. Multi-Task Learning
for HIV Therapy Screening. Proceedings of the International Conference on Machine
Learning (ICML) 2008.

Jasmina Bogojeska, Thomas Lengauer, Jörg Rahnenführer. Stability analysis of mixtures of
mutagenetic trees. BMC Bioinformatics 2008.