Scholar
Lorenzo Flores
Google Scholar ID: sGxo6qQAAAAJ
Montreal Institute for Learning Algorithms
Citations & Impact
Citations
134
H-index
6
i10-index
6
Publications
11
Co-authors
15
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published multiple papers in areas such as natural language processing and text generation, including 'Towards Reliable Multi-Agent Systems for Marketing Applications via Reflection, Memory, and Planning' and 'Improving the Calibration of Confidence Scores in Text Generation Using the Output Distribution’s Characteristics.' Received the Best Workshop Paper Award at the ML4D Workshop, NeurIPS 2020.
Research Experience
- Interned at Adobe (2025, AI Applied Research) and Elicit (2024, ML Engineering). Before that, worked as a data scientist at McKinsey and Company, QuantumBlack (2023-2024). Currently working on WriteDoc, a medical scribe + paperwork tool for Filipino/Taglish, piloting with various doctors and clinics.
Education
- Pursuing a Master's degree in Computer Science at McGill University, supervised by Professor Jackie Cheung. Previously worked on NLP for summarization and simplification with Prof. Arman Cohan and on tabular data with Prof. Dragomir Radev and Linyong Nan at Yale.
Background
- Excited by NLP and good coffee, proudly Filipino. Currently pursuing an MSc (Research) in Computer Science at MILA and McGill University under the supervision of Professor Jackie Cheung. Focused on natural language processing and training models with scarce data.
Miscellany
- Interests include natural language processing and personal projects like LossLibrary, a repository that consolidates loss functions from NLP literature and helps users integrate them into training.
