Nino Scherrer
Scholar

Nino Scherrer

Google Scholar ID: CG9n26kAAAAJ
Google
CausalityRobustnessCognitionLLM EvaluationsSynthetic Data
Citations & Impact
All-time
Citations
737
 
H-index
10
 
i10-index
10
 
Publications
17
 
Co-authors
20
list available
Resume (English only)
Academic Achievements
  • Evaluating the Moral Beliefs Encoded in LLMs (NeurIPS 2023 Spotlight)
  • SimpleSafetyTests: A Test Suite for Identifying Critical Safety Risks in Large Language Models (Arxiv Preprint, 2023)
  • FinanceBench: A New Benchmark for Financial Question Answering (Arxiv Preprint, 2023)
  • Uncovering Mesa-Optimization Algorithms in Transformers (ICLR 2024 Workshop on Understanding of Foundation Models, Oral)
  • Trust Your ∇: Gradient-based Intervention Targeting for Causal Discovery (NeurIPS 2023)
  • On the Generalization and Adaption Performance of Causal Models (ICML 2022, SCIS and BeyondBayes Workshop)
  • Learning Neural Causal Models with Active Interventions (NeurIPS 2021, WHY Workshop)
Research Experience
  • Research Scientist at Google, Zurich
  • Research Scientist at Patronus AI (contributed to a successful $17M Series A round)
  • Research Scientist at FAR AI, collaborating with Claudia Shi, Amir Feder, and Prof. David Blei (Columbia University)
  • Research Intern at Vector Institute / University of Toronto, hosted by Prof. Animesh Garg
  • Research Intern at Mila / Université de Montréal, hosted by Nan Rosemary Ke and Prof. Yoshua Bengio
  • Worked as a Systems Engineer for several years at SFS AG