Juliane SiglPhD candidate applied mathematics

Curriculum vitae

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The important thing is not to stop questioning. - Albert Einstein

...Juliane showed exceptional motivation and talents by learning very quickly the new research topic and starting immediately to contribute with original results.[...] I do not hesitate to very positively evaluate the large scope of her scientific achievements [...].

- Prof. Dr. Massimo Fornasier, TUM, PhD and MSc thesis supervisor

Although the task was very ambitious to our great surprise Juliane Sigl was able not only to understand the background but come up with a working Matlab code within two months.

- Dr. Frank Filbir, Helmholtz-Zentrum Munich, BSc thesis supervisor and internship mentor

Current positionsMay. 2017–present Technische Universität München (TUM) Munich

TUM Data Innovation Lab (TUM-DI-LAB)Project mentor

‚ personal role: organization, project mentoring, data science‚ current project with Celonis SE: ’Machine learning powered

process mining’

Jun. 2013–present Technische Universität München (TUM) Munich

Department of Mathematics,Applied Numerical Analysis, Data Analysis and OptimizationPhD candidate

‚ supervisor: Prof. Dr. Massimo Fornasier‚ project: ’Iteratively reweighted least squares - nonlinear reg-

ression and low-dimensional structure learning for Big Data’

Research ‚ general: modeling, solution conception and algorithm devel-opment for data analysis and machine learning

‚ theoretical: algorithm derivation, analysis and proofs‚ practical: algorithm implementation in MATLAB, numerical ex-

periments and performance comparison with state-of-the-art

Publicationpresentation

‚ publication in internationally recognized peer-review journals‚ conference attendance, presentation of research results

Teachingsupervision

‚ MSc thesis supervision‚ exercise conception and tutorial organization‚ teaching for students in mathematics, IT and engineering

Publications and preprintsApr. 2017 Harmonic-mean IRLS for low-rank matrix recovery

Sigl, Kümmerle(under review, Journal on Machine Learning Research)

Febr. 2016 Nonlinear residual minimization via iteratively reweightedleast squaresSigl(Computational Optimization and Applications, 64(3):755-792, 2016)

Mar. 2014 Quasilinear compressed sensingSigl, Ehler, Fornasier(SIAM Multiscale Modeling & Simulation,12(2):725-754, 2014)

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Contactaddress

Juliane SiglErnest-Thun-Str. 11a

5020 Salzburg

phone:+49 (0) 176 – 84740724

mail:sigl.juliane@gmail.com

born:04.11.1988

nationality:German

Juliane SiglErnest-Thun-Str. 11a ‚ 5020 Salzburg ‚ +49176 8474 0724 ‚ sigl.juliane@gmail.com

Practical experience‚ May 2012–

May 2013Radon Institute (RICAM) / TUM Linz/Munich

ÖAW project, Computational Mathematics/Data Analysis,Junior research scientist

‚ Mathematical modelling and algorithm development withincooperation project with physicists,

‚ Problem analysis, literature review, algorithm prototyping inMATLAB for method comparison and selection, implementationof software packages in C++.

‚ Jan.–Apr. 2012 Berner and Mattner Munich

Department Research and Development, Traffic EngineeringIntern traffic information service development

‚ Concept development and algorithm implementation for anal-ysis of precipitation radar data,

‚ Processing and evaluation of vehicle-based test track data,‚ Implementation concept sketching for the integration of pre-

cipitation radar information from automotive protocols intonavigation systems.

‚ Mar.–Jul. 2011Aug.–Sept. 2010

Helmholtz-Zentrum Munich Munich

Institute of Biomathematics and BiometryJunior member of the research group Biomedical Imaging

‚ Algorithm development within research project in cooperationwith biomedical engineers,

‚ Problem and literature study, design and implementation ofimaging algorithms in MATLAB for tomography data.

‚ Feb.–Mar. 2010 Krones AG Regensburg

Department Research and Development, Technical CalculationIntern software development

‚ Design and implementation of company-internal calculationprograms for machine movement optimization in Visual C#

Education‚ 2012–2013 Master of Science in Mathematics Munich/Hong Kong

Technische Universität München(TUM), exchange semester:Hong Kong University of Science and Technology (HKUST),

‚ passed with distinction, best female graduate of the semester,HKUST: Dean’s List

‚ 2008–2011 Bachelor of Science in Mathematics Munich

Technische Universität München(TUM)

‚ Minor: Computer Science

‚ 1999–2008 High School Mallersdorf

Burkhart Gymnasium Mallersdorf

‚ best graduate in natural sciences branch

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Programmingand Software

scripting‚ MATLAB (7+ years)

development‚ Java (1+ year)

‚ C++,C# (1+ year)

databases‚ SQL (3 months)

software general‚ Microsoft Office, LATEX

LanguagesGerman

Native

EnglishFluent