Fridolin Linder
Senior Research Scientist at Meta
Munich, Bavaria, Germany
Summary
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Senior🎓
Top SchoolFridolin Linder is a Senior Research Scientist based in Munich with 11 years of experience applying machine learning and computational methods to social science problems, currently leading research efforts at Meta. He combines a strong academic pedigree—a PhD in Political Science and Social Data Analytics—with applied roles across industry and academia, from postdoctoral work on misinformation at NYU to data science in mobility at Yunex/Siemens. Fridolin’s work spans network inference, structural topic models, deep-transfer learning, and privacy-preserving synthetic text generation, with software implementations and R/C++ packages to show for it. He is fluent at turning complex social-science questions into reproducible, production-ready ML pipelines and has a track record of interdisciplinary collaboration across universities, NGOs, and industry. An understated strength is his focus on tooling and open research practices that bridge methodological innovation and operational deployment.
11 years of coding experience
10 years of employment as a software developer
Bachelor of Arts (B.A.), Political Science, distinction, Bachelor of Arts (B.A.), Political Science, distinction at University of ViennaPh.D., Political Science and Social Data Analytics, Ph.D., Political Science and Social Data Analytics at Penn State UniversityPolitical Science, Political Science at Washington University in St. LouisMaster of Arts (M.A.), Political Science, Master of Arts (M.A.), Political Science at University of Mannheim
German, English, Spanish
Stackoverflow
401reputation
28kreached
13answers
5questions
Github Skills (60)
twitter10
r-package10
twitter-api10
multi-agent-reinforcement-learning9
statistics9
decision-making9
rights9
data-analysis8
python8
machine-learning8
distributed-computing8
robotics8
measurement8
primitive7
data-science7
Programming languages (5)
Github contributions (5)
SMAPPNYU/stance_classification_experiment
Feb 2019 - Jun 2019
Machine Learning Pipeline and Transfer Learning Model for Stance Detection
Contributions:5 PRs, 66 pushes, 4 branches in 4 months
pipelinemachine-learning-pipelinetransfer-learningmachine-learningstance
CJFariss/Measurement-Theory
Jan 2015 - Sep 2022
Course material and R code for a graduate course on measurement theory
Contributions:2 PRs in 7 years 8 months
graduatemeasurementcourse-materialtheorygraduate-course
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