
Amir Feder
Google Research
clinical nlp
health informatics
medical nlp
document segmentation
2
presentations
SHORT BIO
Amir Feder is a PhD student at the Technion - Israel Institute of Technology, working with Prof. Roi Reichart and Prof. Uri Shalit. Amir develops methods that integrate causality into natural language processing to generate more robust and interpretable models. He is also interested in investigating and developing linguistically informed algorithms for predicting and understanding human behavior. Amir is currently also a visiting researcher at Google Research, where he works on methods that leverage causal methodology for clinical NLP.
Presentations

Section Classification in Clinical Notes with Multi-task Transformers
Amir Feder

Learning and Evaluating a Differentially Private Pre-trained Language Model
Amir Feder