Juliane Manitz
Fractional Data Scientist For Climate Solutions
Greater Boston United States
Summary
👤
Senior🎓
Top SchoolJuliane Manitz is a PhD-trained statistician and fractional data scientist focused on translating advanced analytics into climate solutions, with 15+ years applying machine learning, network analysis, and visualization across academia, biotech, and climate tech. She has led statistical strategy for late-stage clinical trials and built ML frameworks and open tools in regulated environments, then pivoted to mission-driven market intelligence and spatial analysis for food-waste recovery and climate initiatives. Her 25+ publications (12 as first author) and 700+ citations reflect a knack for cross-disciplinary problems from genetics to epidemiology and complex networks. A recognized climate justice leader in Massachusetts, she pairs rigorous methodological thinking with grassroots organizing experience and recent Fellowship training to accelerate impact in the climate sector. Notably, she combines deep domain learning speed with hands-on engineering—R, SQL, APIs and GIS—to move prototypes into operational decisions.
11 years of coding experience
6 years of employment as a software developer
Statistics, Statistics at Ludwig-Maximilians-Universität MünchenDoctor of Philosophy - PhD, MATHEMATICS AND STATISTICS, Doctor of Philosophy - PhD, MATHEMATICS AND STATISTICS at The University of Göttingen
Github Skills (8)
cran9
r-package9
r8
survival-analysis7
visualization6
propagation5
complex-networks4
algorithm1
Programming languages (4)
Github contributions (5)
jmanitz/NetOrigin
Jul 2019 - Sep 2023
R package NetOrigin: Origin Estimation for Propagation Processes on Complex Networks
Contributions:15 reviews, 2 PRs, 31 pushes in 4 years 2 months
estimationr-packagepropagationcomplex-networks
jmanitz/samplingbook
Jan 2020 - Apr 2021
R package: sampling procedures from the book 'Stichproben - Methoden und praktische Umsetzung mit R' by Goeran Kauermann and Helmut Kuechenhoff (2010).
Contributions:40 commits, 33 pushes, 1 branch in 1 year 3 months
rr-packagecransampling-methodssampling-procedures
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