Mikkel Krøjer Svendsen

Cognitive Science Student | Student Programmer

Aarhus University

mikkelks@pm.me | +45 27 82 71 69 | Aarhus, Denmark

LinkedIn | GitHub

Profile

I am a Cognitive Science student with a background in Political Science, a combination that gives me a strong foundation in causal inference and research design alongside computational and behavioural methods. I work with multimodal data including EEG, fMRI, mouse-tracking, and heart-rate measurements, and I use R and Python to turn research questions into robust analyses and digital solutions. I am a curious and collaborative colleague who communicates clearly and works well across disciplines.

Skills

Programming

  • R, Python
  • PostgreSQL
  • React, HTML, CSS, JavaScript
  • Git, PsychoPy, UCloud, Quarto, SurveyXact

Languages

  • Danish - Native
  • English - Fluent
  • German - B2
  • Bornholmsk - Native (good for coffee-break jokes)

Education

2024-Present
BSc in Cognitive Science (5th semester), Aarhus University
Supplementary Subject: Cultural Data Science (language, visual, and geospatial analytics)

Focus: Human cognition and behaviour, Bayesian inference and modeling, machine learning, and experimental design

Graded courses - top grade (12): Cognitive Neuroscience | Social and Cultural Dynamics | Perception and Action | Applied Cognitive Science | Introduction to Cognitive Science

Methods courses - pass/fail: Bayesian Computational Modeling | Multilevel Statistical Modeling and Machine Learning | The General Linear Model | Experimental Methods, Statistics, and Programming

Surprisingly, some of these courses resulted in projects I’m actually quite proud of… check them out here!
2021-2024
BSc in Political Science, Aarhus University
Focus: Causal inference, quantitative methods, and political behaviour

Top grades (12): Methods II: Quantitative Methods | International Politics | Microeconomics | Political Behaviour | Political Sociology | Political Philosophy

Work Experience

2025-Present
Student Programmer, Department of Economics and Business Economics, Aarhus University
  • Built a full data pipeline from scratch to generate insights into alumni career outcomes where no prior data existed, using R, Python, PostgreSQL, LLM APIs, and UCloud
  • Iterative development focused on maintainability, reproducibility, and version control
  • Statistical analysis and visualisation of career trajectories to support decision-making for programme coordinators and prospective students alike
Initially developed for Economics alumni, since expanded to all BSS programmes following positive reception from BSS leadership.
2023-2026
Student Assistant, Research Centre for Social Marginalisation and Research Centre for Citizen and Society Studies, VIA University College
  • Research support across multiple interdisciplinary research centres and projects
  • Independent data collection, analysis, and literature reviews
  • Design of surveys and experiments in SurveyXact
  • Collaboration on externally anchored projects with VIVE and Aalborg University
  • Taught a researcher to use R from scratch
Contributed to a study on unemployment patterns among flexjob workers across Danish municipalities, including building a comparative dataset covering nearly all Danish job centres. The project resulted in a published book.
2024
Personal Assistant, Department of Society and Politics, Aalborg University
Research assistance to a PhD project - data collection and qualitative analysis
2021-2024
Guest Speaker, Højskolerne
Public presentations in Danish and English, in-person and as webinars
2019-2025
Senior Mentor, MentorDanmark
One-on-one tutoring focused on clear communication and learning progression

Volunteer Work

2021-Present
Chairperson, Dorm Board, Christianshøj Kollegiet
  • Representation of dorm residents in dialogue with the Aarhus Dorm Office
  • Coordination of social and cultural activities from small events to large dorm festivals
  • Initiatives to improve accessibility and inclusion within the dorm community

About Me

I have played guitar since childhood. Although this has not made me famous yet, I still value both the creative and social aspects of making music. I read widely across fiction and non-fiction, driven by the idea that almost anything becomes fascinating once you understand it well enough. So far, this seems to hold true. I also love cooking food and tinkering with personal data science projects, both of which involve a whole lot of waiting around and only occasionally produce something worth sharing.