Izabela Moise
Sr. Data Scientist
Alumni
(Alumni)
Izabela holds a PhD degree in Computer Science from University of Rennes 1, France and the National French Institute for Research in Computer Science and Automatics (INRIA), France. Before joining the SDSC, she was a postdoctoral researcher at the Chair of Computational Social Science at ETH Zurich and a lecturer for the “Data Science in Techno-Socio-Economic Systems” course at ETH Zurich. Her main research focus is on big data analytics, tools and platforms, machine learning and data mining, large scale network analysis, in the particular setting of social data mining.
Projects
PolyNet
In Progress
Exploring disease trajectories and outcome prediction using novel methods in network analysis and machine learning
Biomedical Data Science
Neuro-choice
In Progress
Extracting Neural Activity Signals from Large-scale Calcium Imaging Data
Biomedical Data Science
Big Science Data
SPEEDMIND
In Progress
Improving species biodiversity analyses and citizen science feedback through machine learning
Energy, Climate & Environment
Publications
Mentioned in
November 7, 2019
Improving species biodiversity analyses and citizen science feedback through machine learning
Improving species biodiversity analyses and citizen science feedback through machine learning
The WSL and the SDSC are actively working towards the development and the study of the benefits of machine learning approaches for facilitating biodiversity assessments.
Case Studies
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