About Me
My name is Juliane Manitz, I hold a PhD in Statistics/Applied Mathematics and have 15+ years of experience in data analysis, machine learning, and data engineering. My cross-disciplinary, high-impact publications demonstrate agility across diverse use cases, a quick ability to learn relevant background knowledge, and the capacity to communicate complex concepts in simple language.
I also take pleasure in building open-source software, primarily using R, and I enjoy sharing knowledge through teaching. I have developed and taught lectures and workshops for students of various levels and backgrounds, covering topics such as introductory statistics, machine learning, spatial statistics, mixed models, and statistical programming.
Furthermore, I am a passionate climate activist with Extinction Rebellion Boston. Since 2019, I have organized and supported various protests focused on climate-related issues in environmental justice communities. Since 2024, I have transitioned my career to directly address the urgent challenges of the climate crisis. This pivot was accelerated by completing the Climatebase Fellowship and immediately joining Divert, where I support their mission-focused food waste recovery efforts.
Funding & Awards
| 2024 | Climatebase fellowship for climate career acceleration through an industry-oriented educational program. Financial aid award. |
| 2024 | Skillet Toss Champion, Lumberjack & Jill Festival, Gorham NH. |
| 2023 | Legal Worker award from the Massachusetts Chapter of the National Lawyers Guild. |
| 2023 | Climate Justice Leader in Massachuetts award from GreenRoots and The Commonwealth of Massachuetts. |
| 2016 | Feodor Lynen research fellowship for post-doctoral researchers funded by the Alexander von Humboldt foundation. |
| 2016-2017 | Associated member of the research project 'Knowledge-based radiotherapy treatment planning' funded by the Auckland Medical Research Foundation |
| 2015-2017 | Associated member of the research project ‘Model-based Source Tracing of Foodborne Disease Outbreaks’ (MOST) funded by RIVM Strategic Programme (SPR), Dutch public health department. |
| 2014 | Fully financed research exchange Optimization and its Applications in Learning and Industry (OptALI) funding by European Marie Curie International Research Staff Exchange Scheme and New Zealand Government. |
| 2011 | Early career award at the Conference on Inference For Epidemic-related Risk (InFER 2011), Warwick, UK. |
| 2010-2014 | Doctoral position and start-up funding by the German Research Foundation (DFG) research training group ‘Scaling Problems in Statistics’ (RTG 1644). |
Education
| 2014 | PhD: Research Training Group 1644 ’Scaling Problems in Statistics’, Georg-August University School of Science (GAUSS, Dr. rer. nat.), Georg-August-University of Göttingen, Göttingen, Germany.
Thesis: Statistical Inference for Propagation Processes on Complex Networks. Verlag Dr. Hut, ISBN 978-3-8439-1668-4. |
| 2010 | Diploma: Statistics, Department of Statistics, Ludwig-Maximilians-University, Munich, Germany.
Specialization in Biostatistics; minor subject Politics.
Thesis: Automated Detection of Infectious Disease Outbreaks. |