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ADD: ikr
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irenelivia committed Aug 8, 2024
2 parents 7fb7dcb + fa874a0 commit 73d117c
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2 changes: 2 additions & 0 deletions Gemfile
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Expand Up @@ -41,3 +41,5 @@ gem "wdm", "~> 0.1.1", :install_if => Gem.win_platform?

gem "faraday", "< 1.0"

# https://github.com/ffi/ffi/issues/1103
gem "ffi", "< 1.17.0"
47 changes: 40 additions & 7 deletions _data/people.yaml
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Expand Up @@ -28,7 +28,7 @@
- name: Marion Devilliers
email: [email protected]
techniques:
- beginner, interested in CNN for downscaling
- beginner, interested in CNN for downscaling
applications:
- climate models
- name: Peter Thejll
Expand Down Expand Up @@ -76,7 +76,7 @@
- LSTMs, CNNs
applications:
- Forecasting and simulation of river networks
- name: Tommaso Benacchio
- name: Tommaso Benacchio
email: [email protected]
social:
website: https://tbnc.wordpress.com
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techniques:
- interested in supervised/unsupervised learning
applications:
- ai data driven NWP forecasts
- ai data driven NWP forecasts
- ML for remote sensing products and satellite data assimilation within NWP systems
- name: Villy Mik-Meyer
email: [email protected]
Expand All @@ -116,7 +116,7 @@
techniques:
- interested in supervised learning
applications:
- Data driven models for extreme WL predictions
- Data driven models for extreme WL predictions
- name: Kristian H. Møller
email: [email protected]
social:
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applications:
- Model verification and post-processing
- Interested in data-driven forecast models, downscaling, time-series forecasting
- name: Kristian Pagh Nielsen
- name: Kristian Pagh Nielsen
email: [email protected]
social:
linkedin: https://www.linkedin.com/in/kristian-pagh-nielsen-5330163/
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applications:
- Effect of North Atlantic system on European Climate
- Chances and limitation of ML methods
name: Irene Livia Kruse
- name: Irene Livia Kruse
email: [email protected]
social:
github: irenelivia
Expand All @@ -204,4 +204,37 @@ name: Irene Livia Kruse
- Interested in GNNs for nowcasting, and much more
applications:
- In my phd: nowcasting convective cold pools from weather station time series
- In the near future: nowcasting solar/wind time series for energy meteorology
- In the near future: nowcasting solar/wind time series for energy meteorology
- name: Nicolaj Hansen
email: [email protected]
social:
github: NicolajHansen90
twitter: Hansen_Nicolaj
linkedin: Nicolaj Hansen
techniques:
- Machine learning
- Data quality
- Emulators
applications:
- Build emulators that can downscale precipitation over ice sheets
- name: Michael Andersen
email: [email protected]
social:
github: blackplague
linkedin: mchl-ndrsn
techniques:
- GNNs, XGBoost, Hyperparameter Optimization, ResNet/CNN, Word2Vec text embedding, OCR, Neo4j, GraphDB
applications:
- Fraud detection
- Image classification
- Similarity/context searches
- name: Henriette Rilling
email: [email protected]
social:
github: HenrietteRilling
techniques:
- Supervised/unsupervised learning
- Physics-informed neural networks
applications:
- Precipitation time series forecasting, spatial + temporal gap-filling
- ML for radar products
Binary file added assets/img/henrietterilling.jpg
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