From 9400e555642ebf06124783508b39389dd670b30d Mon Sep 17 00:00:00 2001 From: Michael Andersen Date: Wed, 29 May 2024 14:29:30 +0200 Subject: [PATCH] Add mian to people --- _data/people.yaml | 21 ++++++++++++++++----- 1 file changed, 16 insertions(+), 5 deletions(-) diff --git a/_data/people.yaml b/_data/people.yaml index 6601c33..e1c7a89 100644 --- a/_data/people.yaml +++ b/_data/people.yaml @@ -28,7 +28,7 @@ - name: Marion Devilliers email: mde@dmi.dk techniques: - - beginner, interested in CNN for downscaling + - beginner, interested in CNN for downscaling applications: - climate models - name: Peter Thejll @@ -76,7 +76,7 @@ - LSTMs, CNNs applications: - Forecasting and simulation of river networks -- name: Tommaso Benacchio +- name: Tommaso Benacchio email: tbo@dmi.dk social: website: https://tbnc.wordpress.com @@ -107,7 +107,7 @@ 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: vlymi@dtu.dk @@ -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: khm@dmi.dk social: @@ -148,7 +148,7 @@ 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: kpn@dmi.dk social: linkedin: https://www.linkedin.com/in/kristian-pagh-nielsen-5330163/ @@ -195,3 +195,14 @@ applications: - Effect of North Atlantic system on European Climate - Chances and limitation of ML methods +- name: Michael Andersen + email: mian@dmi.dk + social: + github: blackplague + linkedin: mchl-ndrsn + techniques: + - Interested in learning GNN, XGBoost, Hyperparameter Optimization, ResNet/CNN, Word2Vec text embedding, OCR, Neo4j GraphDB + applications: + - Fraud detection + - Image classification + - Similarity/context searches