I'm <strong>Rolf</strong> Lyneborg Lund

I'm Rolf Lyneborg Lund

I am a Lead People Analytics Specialist from Grundfos

I am an associate professor in social data science from Aalborg University

I develop applied AI solutions with humans for humans

I consult on AI applications to help companies understand AI

Hello! My name is Rolf Lyneborg Lund and I have more than 15 years experience in understanding how computers understand human data. From descriptive statistics to multimodal transformer models and generative adversarial models, I enjoy figuring out how to leverage these methods to better understand human behavior.

  • Age 39
  • Residence Denmark
  • Consultancy Per request
  • Address Hals, Northern Jutland
  • Phone +45 2663 5252
  • E-mail rolf@rolfll.com

Services

Data readiness

Understand the requirements for AI implementation in your current tech stack

Asking the right questions

Get help understanding what questions to ask both internally and externally

Implementing at the pain point

Understand what AI can and cannot help you with from your companies point of view

Vendor selection

Get help cutting the buzzwords down to size to understand the AI offered

Experience
2024 - present
Lead people analytics specialist

Lead people analytics specialist at Grundfos

2024-2024
Scientific Director

Scientific Director at the research center for digital humanities and social science (MASSHINE) at Aalborg University

2022-2024
Associate professor

Associate professor at Aalborg University in Social Data Science

2020-2022
Assistant professor

Assistant professor at Aalborg University in applied social data science

Education
2016 - 2019
Ph.D. in Sociology

Ph.D. in Sociology with focus on applied machine learning for big data

2011 - 2014
Masters in Educational Sociology

MA in educational sociology with specialty in quantitative methods and effect evaluation

2008 - 2011
Bachelors of social education

Bachelors of social education with focus on learning methods and communication

Knowledge

  • Quantitative methods
    90%
  • Applied machine learning
    90%
  • Data quality inspection
    90%
  • Modern programming
    90%
  • Implementing AI solutions
    90%
  • Cutting the bullshit
    90%
  • Reducing costs with vendor selection
    90%
  • Guiding the AI landscape
    90%

Interests

Building shitty robots

I love exploring small, very stupid robots that I build on Arduino boards

Woodworking

I am very bad at woodwork but I love trying to do things with wood

Powerlifting

I like to pretend that I can lift heavy things but get injured easily

Playing music

Used to play the bass a lot but now I mainly look at other people that play