CV

Education

• Ph.D in Version Control Theory, GitHub University, 2018 (expected)
• M.S. in Jekyll, GitHub University, 2014
• B.S. in GitHub, GitHub University, 2012

Work experience

• Spring 2024: Academic Pages Collaborator
  • GitHub University
  • Duties includes: Updates and improvements to template
  • Supervisor: The Users
• Fall 2015: Research Assistant
  • GitHub University
  • Duties included: Merging pull requests
  • Supervisor: Professor Hub
• Summer 2015: Research Assistant
  • GitHub University
  • Duties included: Tagging issues
  • Supervisor: Professor Git

Skills

• Skill 1
• Skill 2
  • Sub-skill 2.1
  • Sub-skill 2.2
  • Sub-skill 2.3
• Skill 3

Publications

Protocol to calculate and compare exact Shapley values for different kernels in support vector machine models using binary features

Machine learning models with distinct Shapley value explanations decouple feature attribution and interpretation for chemical compound predictions

Relationship Between Prediction Accuracy and Uncertainty in Compound Potency Prediction Using Deep Neural Networks and Control Models

Chemical Reactivity of Supported ZnO Clusters: Undercoordinated Zinc and Oxygen Atoms as Active Sites

Influence of Strain on Acid–Basic Properties of Oxide Surfaces

Precursor chemistry of h-BN: adsorption{,} desorption{,} and decomposition of borazine on Pt(110)

Talks

Uncertainty Quantification in Compound Potency Prediction

November 04, 2024

Talk at 8th German Conference on Cheminformatics (GCC 2024), Bad Soden am Taunus (Germany)

Uncertainty Quantification in Compound Potency Prediction

October 06, 2024

Poster at All-Hands Meeting of the German AI Competence Centers, Dresden (Germany)

Teaching

Teaching experience 2

Teaching experience 1

Service and leadership

• Currently signed in to 43 different slack teams