Name: Linying Zhang
Type: User
Company: Washington University in St Louis
Bio: Asst Prof of Biostatistics at Washington University in St Louis. Machine learning, causal inference, federated learning, healthcare.
Location: St Louis, MO
Blog: linyingzhang.com
Linying Zhang's Projects
Public repository for 2024 ADLM 'FairLabs' data analytics competition
The Blood Glucose Level Prediction Challenge - A Deep Learning Approach for Blood Glucose Prediction of Type 1 Diabetes
An R package for performing new-user cohort studies in an observational database in the OMOP Common Data Model.
Analyzing the sensitivity of an individual treatment effect over a potential violation of unconfoundedness.
Documents related to final project: Inverse reinforcement learning for healthcare
Homeworks completed for the data science course I took in Falll 2016 at Harvard SEAS.
multivariate deconfounder
python implementation of Peng Ding's "First Course in Causal Inference"
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal in
Public repository for the work on hormonal menstrual cycle
A classifier to detect humor using aversarial methods.
Personal website is at
Four practical problems I completed for the machine learning course I took in Spring 2017 at Harvard SEAS.
Models and examples built with TensorFlow
Code for performing 3 multitask machine learning methods: deep neural networks, Multitask Multi-kernel Learning (MTMKL), and a hierarchical Bayesian model (HBLR).
Probabilistic reasoning and statistical analysis in TensorFlow
AC209 final project: build a classifier for predicting death of patients admitted to the emergency department in a hospital in Sweden.
This repo contains all files for the Symbolic Methods course project.
Lab website at https://zhangly811.github.io/zhanglab (under development)