February 5, 2020
HPC/GPU Computing
NLP Tools
Python
Representation learning is a powerful machine learning technique to capture the intrinsic structure of data and meaningful interdependencies. We propose to apply these methods and develop a framework to test, evaluate and compare different models.
February 5, 2020
HPC/GPU Computing
NLP Tools
Python
PyTorch
To answer the important and unanswered questions relevant to the comparative effectiveness of treatments for IBD and precision medicine, we propose to develop a series of text classifiers/regressors to abstract these elements from clinical notes.
November 1, 2019
Git/GitHub
HPC/GPU Computing
MLib/Machine Learning
Python
TensorFlow
We'd love to work with more people, primarily those looking to gain expertise in: deep learning, neurodegenerative diseases, github / CI / containers, etc.
November 1, 2019
Apache Spark
Git/GitHub
HPC/GPU Computing
MLib/Machine Learning
NLP Tools
Python
PyTorch
R
SQL
TensorFlow
This project aims to build a platform for machine learning-based interpretation of multiple data sources.
October 31, 2019
Git/GitHub
HPC/GPU Computing
MLib/Machine Learning
NLP Tools
Python
PyTorch
SQL
TensorFlow
Various projects are available in the Arnaout Laboratory at UCSF.
August 22, 2019
HPC/GPU Computing
MLib/Machine Learning
NLP Tools
Python
PyTorch
The idea is to pre-train an ML/NLP model on publicly-available clinical notes and then optimize on our notes here. We would use Deep Learning to capture embeddings relevant to disease prediction.
August 21, 2019
Git/GitHub
HPC/GPU Computing
MLib/Machine Learning
Python
SQL
We are hiring data scientists.