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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