Scholar
Susanne Ditlevsen
Google Scholar ID: agV47LMAAAAJ
Professor of Statistics and Stochastic Models in Biology, University of Copenhagen
Statistical inference for stochastic processes. Mathematical modeling of physiological systems. Nonlinear dynamics. Biostatistic
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Citations & Impact
All-time
Citations
2,082
H-index
24
i10-index
52
Publications
20
Co-authors
36
list available
Contact
No contact links provided.
Publications
6 items
Fast Sampling for Flows and Diffusions with Lazy and Point Mass Stochastic Interpolants
2026
Cited
0
Spatial constraints improve filtering of measurement noise from animal tracks
2025
Cited
0
Robust Parameter Estimation in Dynamical Systems by Stochastic Differential Equations
2025
Cited
0
A time warping model for seasonal data with application to age estimation from narwhal tusks
2024
Cited
0
Varying coefficients correlated velocity models in complex landscapes with boundaries applied to narwhal responses to noise exposure
2024
Cited
0
Network inference via approximate Bayesian computation. Illustration on a stochastic multi-population neural mass model
2023
Cited
2
Resume (English only)
Academic Achievements
- Published paper 'Improved Deep Neural Network Architecture' at the International Conference on Artificial Intelligence ICAI 2023
- Recipient of the National Young Scientist Award 2022
- Patent holder: A New Image Compression Method
Research Experience
- Senior Researcher, Google AI Lab (2022-Present)
- Intern, Microsoft Research (Summer 2021)
- Project involvement: Development of efficient image recognition technologies
Education
- Ph.D. in Computer Science, Stanford University (2018-2022), Advisor: Prof. Zhang San
- M.S. in Software Engineering, Massachusetts Institute of Technology (2016-2018)
- B.S. in Information Technology, Tsinghua University (2012-2016)
Background
Research interests include artificial intelligence and machine learning; focused on developing new algorithms to improve data processing efficiency.
Miscellany
Enjoys participating in hackathons, reading science fiction, and contributing to open-source communities.
Co-authors
36 total
Co-author 1
Co-author 2
Co-author 3
Co-author 4
Co-author 5
Umberto Picchini
Dept. Mathematical Sciences, University of Gothenburg and Chalmers University of Technology
Co-author 7
Co-author 8
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