Scholar
Benjamin Sanchez-Lengeling
Google Scholar ID: -91dFcMAAAAJ
Assistant Professor at University of Toronto
Citations & Impact
Citations
11,754
H-index
23
i10-index
30
Publications
20
Co-authors
3
list available
Publications
Resume (English only)
Research Experience
- Research Scientist at Google DeepMind/Brain for 5 years, working in the AI+Olfaction team and later the protein team led by Lucy Cowell
- Conducted ML-based olfaction research: mapped odor space (2019), validated with human panels, discovered new mosquito repellents, explored links between odor and metabolic spaces, and engaged in industrial collaborations
- Pioneered data-driven molecular design using deep learning for molecular representation, property prediction, few-shot generalization, similarity search, generation, and optimization
- Applied Graph Neural Networks (GNNs) to molecular materials and investigated explainability methods for GNN trustworthiness
- Co-organized a NeurIPS workshop to bridge computational discovery and laboratory validation
Background
- Assistant professor at the ChemE department of University of Toronto, PI of the Chemical Cognition Lab
- Researcher solving chemical problems using data-driven techniques
- Designs, builds, and evaluates computational tools for molecular discovery across small molecules, polymers, chemical mixtures, and proteins
- Focuses on bridging computational predictions with experimental validation, emphasizing interpretability and accessibility of research
- Passionate about science education and public outreach
