Peter Holmström
PHD Student at Lund University
Gothenburg, Västra Götaland County, Sweden
Summary
👤
Senior🎓
Top SchoolPeter Holmström is a PhD student in Economic History at Lund University with 17 years of professional experience applying quantitative and econometric methods to questions of gender, networks, and academic career dynamics. He combines rigorous analysis of micro- and longitudinal datasets with practical experience in data management, visualization, and research administration from roles at Sahlgrenska and Gothenburg University. His background in economics and knowledge-based entrepreneurship, plus teaching econometrics labs, gives him a strong mix of methodological depth and communication skills. He has hands-on coding and back-end experience demonstrated by contributions to the widely used NLTK library, improving HMM training and chart parsing components. Based in Gothenburg, he bridges social science research and technical implementation, often uncovering how family formation and networks shape long-term academic outcomes. Colleagues value his ability to turn complex longitudinal data into clear, policy-relevant insights.
17 years of coding experience
2 years of employment as a software developer
Master of Science in Economics, Nationalekonomi, Master of Science in Economics, Nationalekonomi at Handelshögskolan vid Göteborgs universitetÖvriga kurser universitetProjektkurs skönlitterärt skrivande., Projektkurs skönlitterärt skrivande. at Albins folkhögskolaJournalistik och dokumentärfilm, Journalistik och dokumentärfilm at Nordiska folkhögskolanProjektkurs skönlitterärt skrivande, Projektkurs skönlitterärt skrivande at Ölands folkhögskolaEkonomie kandidatexamen (ek.kand.), Nationalekonomi, Ekonomie kandidatexamen (ek.kand.), Nationalekonomi at Göteborgs universitetDigital videoproduktion 7,5 hp. Introduktion till digital grafik 7,5 hp., Digital videoproduktion 7,5 hp. Introduktion till digital grafik 7,5 hp. at Högskolan väst
Github Skills (8)
nltk10
python10
natural-language-processing10
machine-learning9
algorithms8
data-structures8
algorithm8
data-structure8
Programming languages (12)
Github contributions (5)
nltk/nltk
Dec 2008 - Dec 2014
NLTK Source
Role in this project:
Back-end Developer
Back-end DeveloperContributions:109 commits, 1 comment in 6 years
Contributions summary:Peter focused on improving the NLTK library's probability and parsing capabilities, particularly for Hidden Markov Model training and chart parsers. Contributions included bug fixes related to probability distributions and the integration with the HMM trainer. Additionally, they significantly modified and optimized grammar and chart parsing components, adding new parsing strategies and functionalities, like the bottom-up left-corner strategy, and refactoring code for easier use.
nlppythonmachine-learningnltknatural-language-processing
ChalmersGU-AI-course/shrdlite-course-project
Jan 2015 - Jan 2018
Contributions:55 commits, 31 PRs, 45 pushes in 3 years
machine-learning
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