Susanne Ditlevsen
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
Publications
8 items
Choosing optimal Strang splitting estimators of nonlinear stochastic differential equation models
2026
Cited
0
Strang splitting estimator for nonlinear multivariate stochastic differential equations with Pearson-type multiplicative noise
2026
Cited
0
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
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
5 total
Adeline Samson
Adeline Samson
Université Grenoble Alpes, LJK, Grenoble Alpes Data Institute
Umberto Picchini
Umberto Picchini
Dept. Mathematical Sciences, University of Gothenburg and Chalmers University of Technology
Niels Keiding
Niels Keiding
Professor of biostatistics, University of Copenhagen
Massimiliano Tamborrino
Massimiliano Tamborrino
Reader (Associate Professor), Department of Statistics, University of Warwick
Anders Rahbek
Anders Rahbek
Professor, University of Copenhagen