Alex Oesterling
Scholar

Alex Oesterling

Google Scholar ID: N7KLEsMAAAAJ
PhD Candidate, Harvard University
Information TheoryInterpretabilityMachine Learning
Citations & Impact
All-time
Citations
127
 
H-index
6
 
i10-index
4
 
Publications
14
 
Co-authors
6
list available
Resume (English only)
Academic Achievements
  • Publications: Multiple conference papers including ICML, NeurIPS, CVPR, etc.; Awards: Supported by the NSF Graduate Student Research Fellowship; Other Achievements: Involved in various research projects and collaborations with renowned scholars.
Research Experience
  • Work Experience: Conducting doctoral research at Harvard; Research Projects: Focused on fair, interpretable, and trustworthy machine learning, particularly using information theoretic tools for fairness and representation learning.
Education
  • Degree: PhD; University: Harvard University; Advisors: Dr. Flavio du Pin Calmon and Dr. Hima Lakkaraju; Time: Not specified; Major: Machine Learning related fields.
Background
  • Research Interests: fair, interpretable, and trustworthy machine learning; Professional Field: applying information theoretic tools to problems in fairness and representation learning; Background: PhD student with an engineering background, aiming to use research to design actionable solutions for society.
Miscellany
  • Personal Interests: Playing jazz guitar, volleyball (middle blocker), and board games with friends.