Sotabase

Career

· Co-founder, Layer Health2025–
· Professor of Electrical Engineering and Computer Science, Massachusetts Institute of Technology2017–
· Assistant Professor in Computer Science and Data Science, New York University2011–2016
· Postdoctoral Researcher, Microsoft Research New England2010–2011
· Ph.D. in Electrical Engineering and Computer Science, Massachusetts Institute of Technology2005–2010
· S.M. in Electrical Engineering and Computer Science, Massachusetts Institute of Technology2005–2007
· B.A. in Computer Science, University of California, Berkeley2001–2005

Publications (349)

Recurrent Neural Networks for Multivariate Time Series with Missing Values
Scientific Reports · 2016
2,213
cited
Character-Aware Neural Language Models
AAAI Conference on Artificial Intelligence · 2015
1,704
cited
Estimating individual treatment effect: generalization bounds and algorithms
International Conference on Machine Learning · 2016
1,166
cited
Causal Effect Inference with Deep Latent-Variable Models
Neural Information Processing Systems · 2017
836
cited
Learning Representations for Counterfactual Inference
International Conference on Machine Learning · 2016
795
cited
BLOG: Probabilistic Models with Unknown Objects
International Joint Conference on Artificial Intelligence · 2005
550
cited
Structured Inference Networks for Nonlinear State Space Models
AAAI Conference on Artificial Intelligence · 2016
498
cited
A Practical Algorithm for Topic Modeling with Provable Guarantees
International Conference on Machine Learning · 2012
454
cited
Large language models are few-shot clinical information extractors
Conference on Empirical Methods in Natural Language Processing · 2022
436
cited
Why Is My Classifier Discriminatory?
Neural Information Processing Systems · 2018
431
cited
Deep Kalman Filters
arXiv.org · 2015
395
cited
Learning a Health Knowledge Graph from Electronic Medical Records
Scientific Reports · 2017
391
cited
TabLLM: Few-shot Classification of Tabular Data with Large Language Models
International Conference on Artificial Intelligence and Statistics · 2022
334
cited
Tightening LP Relaxations for MAP using Message Passing
Conference on Uncertainty in Artificial Intelligence · 2008
319
cited
Learning Low-Dimensional Representations of Medical Concepts
Summit on Clinical Research Informatics · 2016
286
cited
Unsupervised learning of disease progression models
Knowledge Discovery and Data Mining · 2014
256
cited
Creating an automated trigger for sepsis clinical decision support at emergency department triage using machine learning
PLoS ONE · 2017
254
cited
Semi-Amortized Variational Autoencoders
International Conference on Machine Learning · 2018
254
cited
Consistent Estimators for Learning to Defer to an Expert
International Conference on Machine Learning · 2020
239
cited
Learning Bayesian Network Structure using LP Relaxations
International Conference on Artificial Intelligence and Statistics · 2010
230
cited
Sotabase