Helmholtz AI consultants @ HMGU

Helmholtz AI consultants @ Helmholtz Zentrum Munich

Christian Müller

Interim team leader

@microbionaut

Health-focused AI consultants

Helmholtz AI central unit / local unit for health also includes a team of health-focused Helmholtz AI consultants, that provide technical support and assessment to researchers across the Helmholtz Association through the voucher system. Currently, the Helmholtz AI consultant team @ HMGU is in the recruitment phase and the first scientists have joined. Some pilot vouchers are already under way and new exciting AI projects have been defined as the current consultants are expanding their network through collaborations with local Helmholtz Zentrum München researchers and partners.

Questions or ideas? consultant-helmholtz.ainoSp@m@helmholtz-muenchen.de

GITHUB Helmholtz AI consultants @ HMGU

 

 

Team members

Christina Bukas

Christina Bukas

Helmholtz AI consultant @ HMGU

Christina Bukas

Christina Bukas

Helmholtz AI consultant @ HMGU

Focus areas:

  • Medical Image Processing
  • c-GANs
  • Image inpainting

Highlighted Projects:

  • Acquisition Quality Assessment of Echocardiograms
  • Estimation of vertebral bodies prior to fracture damage using generative models
  • Rest tremor detection in Parkinson’s Disease with the help of a smartphone

Ruolin Shen

Ruolin Shen

Helmholtz AI consultant @ HMGU

Ruolin Shen

Ruolin Shen

Helmholtz AI consultant @ HMGU

Focus areas:

  • Computer Vision
  • Image and Video Processing
  • Object Detection and Segmentation

Highlighted Projects:

  • Deep unsupervised video saliency detector
  • Face Super-resolution guided by 3D facial priors

Dominik Thalmeier

Dominik Thalmeier

Helmholtz AI consultant @ HMGU

Dominik Thalmeier

Dominik Thalmeier

Helmholtz AI consultant @ HMGU

Focus areas:

  • Optimal Control
  • Reinforcement Learning
  • Stochastic Optimization
  • Bayesian Inference

 

Highlighted Projects:

  • Threshold detection in ABR data
  • Reinforcement learning for social graphs
  • Learning climate dynamics with a CNN