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jonatanpallesen
github.com/ymer
jsmp.dk


See examples of projects and code on jsmp.dk, and on github.


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Jonatan Pallesen

As a seasoned data scientist with a PhD in Statistical Genomics and fifteen years of experience, I bring deep expertise in conducting reliable and understandable data analyses. My background in statistics is extensive and deep-rooted, encompassing a thorough grasp of statistical principles and a wide-ranging experience in the application of diverse statistical methods. I have advanced programming skills in R, Python, and Julia, with a particular emphasis on developing clear and high-quality code.

Recently, my focus has shifted to working with retrieval augmented generative AI methods, leading the adoption of systematic statistical methods and test-driven development. This innovative project, still in its early stages, has already begun to bring quantifiable benefits to my organization.

Work Experience

Data scientist

Dansk Industri

N/A

current - 2020

  • Lead data scientist
  • Working with evaluating and improving retrieval augmented generative AI models using data and test-driven development.

Data science consultant

JP Insights

N/A

– - 2018

  • Data science consultancy work for a variety of clients.

Statistical analyst (postdoc)

Aarhus University

N/A

2018 - 2015

  • Statistics, research design, developing data pipelines.


Education

PhD, statistical genomics

Aarhus University

N/A

2015 - 2011

Visiting researcher

University of California, Berkeley

N/A

2012

MSc, molecular biology and computer science

Aarhus University

N/A

2010 - 2004