Courses

2021/22: University of Vienna (Austria)

• Astronomiche Praktikum: Spektroskopie

• Orion as paradigm of Multiwavelength Star Formation Science (Seminar)

• Groundbreaking ALMA Science (COSMOS seminar)

• BSc seminar

• PM-Sem Forschungsseminar

2020/21: University of Vienna (Austria)

• Star Formation & Interstellar Medium

• Astronomiche Praktikum: Spektroskopie

• Classical results on Star Formation (COSMOS seminar)

• BSc seminar

• PM-Sem Forschungsseminar

2019/20: University of Vienna (Austria)

• PM-Sem Forschungsseminar.  University of Vienna (Austria)

2016/17: University of Vienna (Austria)

• Praktikum aus beobachtungsorientierter Astronomie

• Bridging the gap - Galactic and extragalactic star formation science. (Seminar)

• Low- vs. High-Mass Star Formation

2015/16: University of Vienna (Austria)

• Molecular Clouds and Star Formation. (Seminar)

• Orion as paradigm Multiwavelength Star Formation Science (Seminar)

2014/15: University of Vienna (Austria)

• Praktikum aus beobachtungsorientierter Astronomie

• Bridging the gap - Galactic and extragalactic star formation science. (Seminar) 

• Übungen zu Milchstraße und Interstellares Medium. (Seminar)

2013/14: University of Vienna (Austria)

• Praktikum aus beobachtungsorientierter Astronomie

• Molekuelwolken und Sternentstehung. (Seminar)

2013/12

• Sternentstehung und Interstellar Medium. (Seminar) University of Vienna (Austria)

• Praktikum aus beobachtungsorientierter Astronomie. University of Vienna (Austria)

2006/07

• Teaching assistant at the UCM Observatory, Departamento de Física de la Tierra, Astronomía y Astrofísica II, Universidad Complutense de Madrid (supervisor: J. Gallego), Madrid (Spain).

Previous courses & material

• UCM-Físicas (Spain): "Mecánica Lagrangiana"

• University of Vienna (Austria): "Praktikum aus beobachtungsorientierter Astronomie: CLASS for dummies" 

Online material

• Mark Krumholz: "Notes on Star Formation"

SCIENTIFIC results

• Matt Parker: "LMS Popular Lecture Series 2010, Clutching at Random Straws" - correlations vs large datasets & confirmation biases