Christian Mueller

PhD in Social Research Methods

London School of Economics and Political Science

• Topic: Textual Data in Politics – Language, Campaigning, and Preferences
• Advisors: Prof. Kenneth Benoit (primary) and Prof. Benjamin Lauderdale (secondary)

MSc in Social Research Methods

London School of Economics and Political Science

• Specialisation in advanced quantitative methods for social science research
• Passed with Distinction

BA in Social Sciences

University of Zurich

• Political Science (major) with Computational Linguistics and Islamic World (minors)
• Final mark: 5.2/6.0

Inter-university Consortium for Political and Social Research Summer Program

University of Michigan, Ann Arbor, MI

Attended classes in “Advanced Bayesian Models” and “Network Analysis: Advanced Topics”

Essex Summer School in Social Science Data Analysis

University of Essex, Colchester

Attended classes in “Multilevel Modelling” and “Bayesian Statistics”

Research Assistant

Department of Political Economy, King's College London (Dr. Florian Foos and Prof. Peter John)

• Advanced cleaning and merging of data from field experiments
• Analysis and presentation of experimental data

Research Assistant

Department of Government, London School of Economics and Political Science (Dr. Livia Schubiger)

• Full implementation and monitoring of a survey experiment on Amazon MechanicalTurk

Research and Teaching Assistant

Chair of Political Methodology, Department of Political Science, University of Zurich (Prof. Dr. Marco Steenbergen and Prof. Dr. Dominik Hangartner)

• Devised as well as presented interactive teaching material for applied statistics courses, including material for a massive open online course (MOOC)
• Assisted in various research projects at different levels of the research process, including the implementation of a conjoint design in Qualtrics before it became officially supported

Research Assistant

ETH Zurich and University of Zurich joint project “Mining and Social Protest in Latin America” (Dr. Simon Bornschier, Dr. Livia Schubiger, Dr. Manuel Vogt)

• Designed and implemented an automatic content analysis approach to identify and retrieve news articles relevant to the project

Research Assistant

Chair of Policy Analysis, Department of Political Science, University of Zurich (Dr. Bruno Wüest)

• Implemented a solution to continuously download Twitter data using R and Python

Intern, Technical Analyst

Perspectives GmbH, Zurich (Climate Policy Consultancy; Dr. Axel Michaelowa)

• Evaluated development assistance projects for their effect on climate change

Intern

SVS/BirdLife Switzerland, Zurich (Nature Conservation NGO)

• Assisted in day-to-day administration and smaller research and publication projects

Introduction to Data Science and Big Data Analytics (ME314, Summer School)

London School of Economics and Political Science (Prof Kenneth Benoit, Prof Slava Mikhaylov and Dr Jack Blumenau)

• Presentation of computer class material for data management, regression and classification, and text analysis in R

Quantitative Text Analysis (MY459, MSc level)

Department of Methodology, London School of Economics (Prof Kenneth Benoit and Dr Pablo Barberá)

• Preparation and presentation of computer class material for applied text analysis in R

Intermediate Quantitative Analysis (MY465, MSc level)

Department of Methodology, London School of Economics (Prof Jonathan Jackson)

• Presentation of computer classes in Stata

Introduction to Quantitative Analysis (MY451, MSc level)

Department of Methodology, London School of Economics (Prof Benjamin Lauderdale)

• Presentation of computer classes in SPSS and Stata

Applied Methods in Political Science (MA level)

Department of Political Science, University of Zurich (Prof Marco Steenbergen)

• Introduction to Data Science and Big Data Analytics

Introduction to Political Science Methods (BA level)

Department of Political Science, University of Zurich (Dr Nathalie Giger)

• Support of the lecture in introductory research design and methods

Applied Methods in Political Science (BA level)

Department of Political Science, University of Zurich (Prof Thomas Gautschi)

• Preparation and presentation of an applied introduction to Stata

doc.mobility Fellowship (CHF 48,000)

Swiss National Science Foundation (SNSF)

Funding for a research at the Center for Data Science, New York University

LSE PhD Studentship 2016/17 (GBP 72,000)

London School of Economics and Political Science

Prize for the best dissertation in the MSc Social Research Methods

Department of Methodology, London School of Economics and Political Science

Prize for the best overall grade in the MSc Social Research Methods

Department of Methodology, London School of Economics and Political Science

Comprehensive knowledge and broad experience

Broad experience in using R to carry out various data processing and cleaning tasks

Good knowledge and relevant experience

Good knowledge of using Python for scripting and basic knowledge of writing complex general-purpose software in Python

Working knowledge and past experience

Working knowledge of common data cleaning and modeling commands

Good knowledge and relevant experience

Good knowledge of using standard SQL syntax to define, populate and manipulate large ta-for a research at the Center for Data Science, New York University

Native

Fluent (C2)

Intermediate (B2)

Beginner (A1)