Jiangzhuo Chen

Associate Professor, Biocomplexity Institute, University of Virginia, Charlottesville

Joined

July 2019

Names

Jiangzhuo Chen

Emails

****@virginia.edu (Confirmed)

Personal Links

Career & Education History

Associate Professor

Biocomplexity Institute, University of Virginia, Charlottesville (virginia.edu)

2018 – Present

Associate Professor

Virginia Polytechnic Institute and State University (vt.edu)

2016 – 2018

PhD student

Northeastern University (northeastern.edu)

2001 – 2005

Advisors, Relations & Conflicts

PhD Advisee

Lijing Wang

2015 – 2021

PhD Advisor

Rajmohan Rajaraman

2001 – 2005

PhD Advisor

Ravi Sundaram

2001 – 2005

Expertise

computational epidemiology

modeling and simulation of large-scale social systems

and causal machine learning

2018 – Present

Publications

Data-driven scalable pipeline using national agent-based models for real-time pandemic response and decision support
Parantapa Bhattacharya, Jiangzhuo Chen, Stefan Hoops, Dustin Machi, Bryan L. Lewis, Srinivasan Venkatramanan, Mandy L. Wilson, Brian Klahn, Aniruddha Adiga, Benjamin Hurt, Joseph Outten, Abhijin Adiga, Andrew S. Warren, Young Yun Baek, Przemyslaw J. Porebski, Achla Marathe, Dawen Xie, Samarth Swarup, Anil Vullikanti, Henning S. Mortveit et al. (3 additional authors not shown)
- Published: 01 Jan 2023, Last Modified: 12 May 2023
- Int. J. High Perform. Comput. Appl. 2023
- Readers: Everyone
CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting
Lijing Wang, Aniruddha Adiga, Jiangzhuo Chen, Adam Sadilek, Srinivasan Venkatramanan, Madhav V. Marathe
- 2022 (modified: 24 Apr 2023)
- AAAI 2022
- Readers: Everyone
Effective Social Network-Based Allocation of COVID-19 Vaccines
Jiangzhuo Chen, Stefan Hoops, Achla Marathe, Henning S. Mortveit, Bryan L. Lewis, Srinivasan Venkatramanan, Arash Haddadan, Parantapa Bhattacharya, Abhijin Adiga, Anil Vullikanti, Aravind Srinivasan, Mandy L. Wilson, Gal Ehrlich, Maier Fenster, Stephen G. Eubank, Christopher L. Barrett, Madhav V. Marathe
- Published: 01 Jan 2022, Last Modified: 15 May 2023
- KDD 2022
- Readers: Everyone
Cohorting to Isolate Asymptomatic Spreaders: An Agent-Based Simulation Study on the Mumbai Suburban Railway
Alok Talekar, Sharad Shriram, Nidhin K. Vaidhiyan, Gaurav Aggarwal, Jiangzhuo Chen, Srinivasan Venkatramanan, Lijing Wang, Aniruddha Adiga, Adam Sadilek, Ashish Tendulkar, Madhav V. Marathe, Rajesh Sundaresan, Milind Tambe
- 2021 (modified: 24 Apr 2023)
- AAMAS 2021
- Readers: Everyone
High Performance Agent-Based Modeling to Study Realistic Contact Tracing Protocols
Stefan Hoops, Jiangzhuo Chen, Abhijin Adiga, Bryan L. Lewis, Henning S. Mortveit, Hannah Baek, Mandy L. Wilson, Dawen Xie, Samarth Swarup, Srinivasan Venkatramanan, Justin Crow, Elena Diskin, Seth Levine, Helen Tazelaar, Brooke Rossheim, Chris Ghaemmaghami, Rebecca Early, Chris Barrett, Madhav V. Marathe, Carter Price
- Published: 01 Jan 2021, Last Modified: 12 May 2023
- WSC 2021
- Readers: Everyone
AI-Driven Agent-Based Models to Study the Role of Vaccine Acceptance in Controlling COVID-19 Spread in the US
Parantapa Bhattacharya, Dustin Machi, Jiangzhuo Chen, Stefan Hoops, Bryan L. Lewis, Henning S. Mortveit, Srinivasan Venkatramanan, Mandy L. Wilson, Achla Marathe, Przemyslaw J. Porebski, Brian Klahn, Joseph Outten, Anil Vullikanti, Dawen Xie, Abhijin Adiga, Shawn Brown, Christopher L. Barrett, Madhav V. Marathe
- Published: 01 Jan 2021, Last Modified: 15 May 2023
- IEEE BigData 2021
- Readers: Everyone
Scalable Epidemiological Workflows to Support COVID-19 Planning and Response
Dustin Machi, Parantapa Bhattacharya, Stefan Hoops, Jiangzhuo Chen, Henning S. Mortveit, Srinivasan Venkatramanan, Bryan L. Lewis, Mandy L. Wilson, Arindam Fadikar, Tom Maiden, Christopher L. Barrett, Madhav V. Marathe
- Published: 01 Jan 2021, Last Modified: 15 May 2023
- IPDPS 2021
- Readers: Everyone
Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting
Lijing Wang, Aniruddha Adiga, Srinivasan Venkatramanan, Jiangzhuo Chen, Bryan L. Lewis, Madhav V. Marathe
- 2020 (modified: 24 Apr 2023)
- CoRR 2020
- Readers: Everyone
Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting
Lijing Wang, Aniruddha Adiga, Srinivasan Venkatramanan, Jiangzhuo Chen, Bryan L. Lewis, Madhav V. Marathe
- 2020 (modified: 24 Apr 2023)
- IEEE BigData 2020
- Readers: Everyone
Wisdom of the Ensemble: Improving Consistency of Deep Learning Models
Lijing Wang, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Ahmed K. Farahat, Mahbubul Alam, Chetan Gupta, Jiangzhuo Chen, Madhav V. Marathe
- 2020 (modified: 24 Apr 2023)
- CoRR 2020
- Readers: Everyone

View all 61 publications

Co-Authors

View all 123 co-authors