Sarem Seitz

DISL-Lab  (KI-Labor Dependable Intelligent Systems)

Office: WE5/05.052
Office hours: by appointment

Email: sarem.seitz(at)

since 09/2020

Research assistant at DISL-Lab (CogSys Team)

02/2019 - 04/2019

Intern Data Scientist Advanced Analytics at McKinsey&Company Dusseldorf
since 12/2016Freelancing Data Scientist & Machine Learning Engineer
10/2016 - 11/2016Intern Data Scientist Financial Accounting Advisory Services at EY Frankfurt a.M.
10/2015 - 03/2016Intern Audit at PwC Nuremberg


Main Research Interests

  • Methods for Interpretable Machine Learning
  • Reinforcement Learning 
  • Learning and forecasting with time-series data
  • Statistical and Bayesian Learning
  • Data Analysis
  • Neuro-Symbolic Integration
  • Differentiable Programming




  • Seitz, S. (2021) - Mixtures of Gaussian Processes for regression under multiple prior distributions (arXiv)

Talks and Presentations

"Deep Learning - Das next big thing oder die nächste große Blase?" - Talk at Total Digital 2019, Coburg

"Wie lernen Maschinen? - Ein- und Ausblicke in aktuelle Erkenntnisse aus der KI-Forschung" - Talk at Total Digital 2020, Coburg

"Dependable AI under heavy tailed distributions" - Short presentation at KI2020 Workshop for dependable AI, Bamberg



Personal blog:

When is Bayesian Machine Learning actually useful?