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Career

· Executive Director of Frontier Research, Genentech2025–
· Glen de Vries Professor of Health Statistics, New York University2025–
· Senior Director of Frontier Research, Genentech2020–2024
· Associate Professor, New York University2019–2023
· Professor of Computer Science and Data Science, New York University2019–
· Research Scientist, Facebook AI Research2017–2020
· Assistant Professor, New York University2015–2019
· Postdoctoral Researcher, University of Montreal2014–2015
· Doctor of Science (D.Sc.), Aalto University2011–2014
· Master of Science (M.Sc.), Aalto University2009–2011
· Bachelor of Science (B.Sc.), KAIST2005–2009

Publications (327)

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
International Conference on Machine Learning · 2015
10,623
cited
Theano: A Python framework for fast computation of mathematical expressions
arXiv.org · 2016
2,366
cited
Recurrent Neural Networks for Multivariate Time Series with Missing Values
Scientific Reports · 2016
2,213
cited
Identifying and attacking the saddle point problem in high-dimensional non-convex optimization
Neural Information Processing Systems · 2014
1,472
cited
Describing Videos by Exploiting Temporal Structure
IEEE International Conference on Computer Vision · 2015
1,097
cited
On Using Very Large Target Vocabulary for Neural Machine Translation
Annual Meeting of the Association for Computational Linguistics · 2014
1,029
cited
Structure-based protein function prediction using graph convolutional networks
Nature Communications · 2021
814
cited
On Using Monolingual Corpora in Neural Machine Translation
arXiv.org · 2015
580
cited
Deep Neural Networks Improve Radiologists’ Performance in Breast Cancer Screening
IEEE Transactions on Medical Imaging · 2019
560
cited
Asking and Answering Questions to Evaluate the Factual Consistency of Summaries
Annual Meeting of the Association for Computational Linguistics · 2020
543
cited
True Few-Shot Learning with Language Models
Neural Information Processing Systems · 2021
492
cited
Self-Rewarding Language Models
International Conference on Machine Learning · 2024
489
cited
Health system-scale language models are all-purpose prediction engines
Nature · 2023
406
cited
BERT has a Mouth, and It Must Speak: BERT as a Markov Random Field Language Model
Proceedings of the Workshop on Methods for Optimizing and Evaluating Neural Language Generation · 2019
376
cited
Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms
JAMA Network Open · 2020
325
cited
High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks
arXiv.org · 2017
239
cited
Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models
International Conference on Learning Representations · 2019
229
cited
KLUE: Korean Language Understanding Evaluation
NeurIPS Datasets and Benchmarks · 2021
223
cited
Iterative Reasoning Preference Optimization
Neural Information Processing Systems · 2024
207
cited
Unsupervised Question Decomposition for Question Answering
Conference on Empirical Methods in Natural Language Processing · 2020
199
cited
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