Amira Neumann (co-advised)

       Research Interests:

  • Machine learning
  • Explainable and interpretable AI
  • AI for the medical field
  • Power and memory efficient AI models

 

Biography

I received a B.Sc. in Life Sciences Engineering from EPFL and obtained a scholarship to study abroad during my third year. Following my graduation, I joined Onward Medical, a company developing medical implants to restore natural walking for spinal cord injured patients. There, I contributed to the development of clinical tools and analysed data from paraplegic patients who regained walking capacities. Afterwards, I joined the research lab of Nicole Wenderoth in ETH Zürich and worked as a research assistant on data analysis from finger tapping experiments and fMRI scans. 

For my master’s, I studied at ETH Zürich and received a M.Sc. title in Biomedical engineering, specializing in machine learning. During my semester project in Anne-Lise Giraud’s laboratory, I worked on defining relevant clinical features from neural data to develop more robust AI models for language decoding. My master thesis was carried out at the laboratory of Nick Ramsey in the Netherlands, where I focused on creating a transfer learning framework to improve the decoding of spoken syllables from invasive neural recordings. 

Currently, I am pursuing my Ph.D. in AI for medical applications such as Parkinson and epilepsy in the LIONS and INL groups at EPFL, under the co-supervision of Prof. Volkan Cevher and Prof. Mahsa Shoaran.

Publications

Contact

e-mail address: Amira Neumann

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