Denis A. Engemann

Research in Psychology, Neurophysiology, Data Science

Researcher in Clinical Neuroscience

About me

I am a clinical and cognitive neuroscientist caring about brain health and treatment options for neuropsychiatric patients. My initial training is in experimental psychology. Over the past decade, I have specialized in research at the intersection of computer science, machine learning, clinical neuroscience and public health. My work focuses on large-scale modeling of biomedical outcomes from brain data i.e. electroencephalography (EEG), magnetoencephalography (MEG), magnetic resonance imaging (MRI) as well as heterogeneous social data.

This can be described from at least three perspectives: 1) computational methods and tools for handling high dimensional and heterogenous input data, 2) statistical modeling algorithms and methods for predicting biomedical outcomes from brain signals, 3) applied studies in cognitive or clinical neuroscience focusing on elucidating biomedical outcomes, e.g, diagnosis in disorders of consciousness, assessment of perioperative complications or cognitive decline.

My previous position at the French National Institute for Research in Digital Science and Technology (Inria Saclay-Île-de-France) near Paris, has allowed me to develop robust strategies for modelling biomedical outcomes from heterogenous biobehavioral inputs. In my current role at the Roche Innovation Center Basel, I work on assessing the impact of novel compounds on brain dynamics and cognitive outcomes by applying knowledge, tools and resources resulting from my research.

Interests

  • Cognition, brain function and diseases
  • Biomarker development
  • Computational methods for non-invasive neurophysiology

Education

  • HDR (habilitation) in Medicine, 2022

    Université Paris Cité, France

  • PhD in Psychology, 2015

    University of Cologne, Germany

  • Diploma in Psychology, 2010

    University of Gießen, Germany

Recent & Upcoming Talks

Combining magnetic resonance imaging and magnetoencephalography enhances modeling of brain age
Challenges of building clinical biomarkers from M/EEG: multimodal modeling with missing data and robust regression on power spectra
Analysis of MEG/EEG with MNE-Python
Large-scale analysis of electrophysiology data in cognitive neurology.
Analyzing EEG and MEG in Python and MNE

Recent Publications

Filter publications

Projects

Automated processing of M/EEG

Automated processing of M/EEG

Tools for large-scale analysis

MNE software for analyzing and visualizing M/EEG data

MNE software for analyzing and visualizing M/EEG data

Coding, mentoring and dissemination for the MNE project.

Tackling disorders of consciousness with Cognitive Neuroscience, EEG and Machine Learning

Tackling disorders of consciousness with Cognitive Neuroscience, EEG and Machine Learning

Supplementing diagnosis in disorders of consciousnes with EEG and ML

Experience

 
 
 
 
 

Senior Scientist

F Hoffmann-La Roche Ltd

Nov 2021 – Present Switzerland
Biomarker and Experimental Medicine Leader
 
 
 
 
 

Research Scientist

INRIA Saclay / Neurospin (Parietal)

Jan 2017 – Oct 2021 France
Principal investigator
 
 
 
 
 

Postdoc

Neurospin (Unicog) & ICM (Picnic)

Apr 2014 – Dec 2016 France
Postdoc in clinical neuroscience
 
 
 
 
 

PhD student

Jülich Research Center (INM-3) & University of Cologne

Nov 2010 – Mar 2014 Germany
PhD student in cognitive social neuroscience
 
 
 
 
 

Diploma student, intern (Tomasello lab)

Max-Planck-Institute for Evolutionary Anthropology

Sep 2007 – Jan 2009 Germany
Intern & diploma thesis in developmental social cognition

Contact