Responsible, robust, fair machine learning. Extensive experience in the medical domain. Worked with images, signals, tabular data. Emphasis on proper evaluation methodology, uncertainty quantification, explainability, robustness, and related themes.

Personal information
Full name: Eike Petersen
User name: e-pet
Organization memberships
Not a member of any organization.
Awards
No awards received yet.
Volunteer background
Education: PhD on Computer Science / Engineering (University of Lübeck)
LinkedIn profile
Github profile
Portfolio
Volunteer availability
Start date: None
End date: None
Hours available per week: 2
Volunteering interests
No stated preferences.
Skills
Skill
Beginner
Intermediate
Expert
Python
Computer Science (Algorithms)
Java
C/C++/C#
Data in Text Files
Data from Sensors
Data Visualization
Experience working on real-world problems using data
Experimental Methods (RCTs, A/B testing, etc.)
Social Science (Economics, Sociology, etc.)
Data Analysis
Time Series Models
Neural Networks / Deep Learning
Causal inference
Graphical models
Random Forests
SVMs
Decision Trees
Unsupervised models
Semi-Supervised models
Matching (e.g., Propensity Score Matching )
Instrumental Variables
Matlab
R

Volunteer projects

No volunteer work yet.