banner

Workflow

block diagram

Goals of the project:

tickerWork with partners to centralize disparate data
tickersources related to project coronavirus
ticker
Work with partners to centralize disparate data sources related to project coronavirus
tickerDashboard to visualize global distribution of
tickerCOVID-19   View Dashboard
ticker
Dashboard to visualize global distribution of COVID-19
tickerAlert system powered by statistical models
tickerand machine learning   Sign up for Email Alerts
ticker

Our Collaborators and Partners:

Our Advisors:

huisu

Dr. Hui Su, Principal, Engineering and Science Directorate at JPL

xinyue_ye

Dr. Xinyue Ye, Associate Professor of Informatics at NJIT and Director of Urban Informatics & Spatial Computing Lab

stanley

Dr. Stanley H. Weiss, Professor of Medicine and Epidemiology at Rutgers University

john

Dr. John Jiang, CEO of VESS

Our Team Members   Become a Volunteer

Alex photo

Alex Liu

CEO of RMDS

linkedin blue

Alex guides the directions of this project to ensure its success and high-quality control. At the same time, he connects team members to outside resources, like Wuhan University and Harvard Dataverse, and recruits data and AI consultants.


Alicia photo

Alicia Wei

Data Science Manager

Alicia coordinates with different teams, among them specialists in epidemiology, analytics and modeling, and engineers. The team builds visualizations and predictions that empower our communities to make better decisions when tackling COVID-19.


Mo photo

Mo Chen

Evaluation Consultant

LinkedIn logo

Mo gave professional input in data collection, data processing, and model development. He contributes to model architecture, in particular epidemiological models. He is also preparing a workshop on this topic!


David photo

Jidong Li

Data Scientist

LinkedIn logo

David implemented data pipeline, API integration and arcGIS visualization for both JHU CSSE data and Dingxiangyuan data. David designed and implemented the LSTM machine learning model and Stochastic SIR to analyze and predict future infections.


yula photo

Yula Guo

Project Manager

LinkedIn logo

Yula is the project manager and keeps track of the status of overall project goals as well as tasks for each team member. She encourages the team to embrace collaborative processess, accountability and a results-oriented mindset.


pengxiang photo

Pengxiang Xu

Data Scientist

LinkedIn logo

Pengxiang collects the migration data and also helps with feature selection and model architecture to predict the number of 2019-nCoV cases infected. The results will be used to integrate an alert system for potential outbreak and constant monitoring.


Mao photo

Siyu Mao

Evaluation Consultant

LinkedIn logo

Siyu works with spatial-temporal datasets to help the team with data search, data merging and data centralizing.


suyean

Suyeon Ryu

Epidemiologist

LinkedIn logo

Suyeon contributes to exploratory data analysis and visualization. At the same time, she is advising the modeling team on feature selection and improvements to the SIR epidemiological model.