We are incredibly grateful to our donors who make our mission possible. Your generosity is helping us to empower global well-being through cutting-edge technology and data-driven insights, ensuring a secure and prosperous future.
A Special Thanks
We would like to extend a heartfelt thank you to those who have supported us in attending the 2024 IDM Annual Symposium, Global public health in a chaotic world: The role of modeling & data science. Your contributions have made it possible for us to share our work, connect with global leaders, and bring back valuable insights to further our mission.
Our Contributors
We are profoundly grateful to the dedicated employees and volunteers that have generously supported our mission. Your time, knowledge, and commitment have been essential in shaping our progress and in helping us drive innovation and advance global well-being:
- Shruthi Ravichandran, Former scientific researcher, Center for Excellence in Education, MIT
- Andreea Georgiana Stanescu, Former Volunteer – COO, Secretary, Test User, Data Curator & Strategy
- Jiaying Li, Former Volunteer – Machine Learning Developer
- Juliette Choiseul, Former Volunteer – Managing Epidemiologist
- Vitthal Khandelwal, Former Volunteer – Python Quality Assurance Engineer
- Aditya Kiran, Former Volunteer – Epidemiologist
- Shiyi Gong, Former Volunteer – Quality Assurance Engineer
- Viktoriia Sluchenkova, Former Volunteer – Epidemiologist
- Linyang (Leah) Li, Former Volunteer – Epidemiologist
- Xu (Jason) Yang, Former Volunteer – Vice President/COO
- Caio Cesar Liberato, Former Volunteer – Vice President/COO
- Chenyao Zhu, Former Volunteer – Data Analyst & Curator
- Suhrid Saha, Former Volunteer – Machine Learning Developer & Data Scientist
- Trang Nguyen, Former Volunteer – Database Developer
- Meng Fang, Former Volunteer – Machine Learning Developer
- Chee-Kiang Lim, Former Volunteer – CFO, Data Curator & Strategy
- Ayden Salazar, Former Volunteer – Epidemiologist & Data Scientist
- Aaron Chow, Former Volunteer – Machine Learning Developer & Data Scientist
- Bobo Kwok, Former Volunteer – Machine Learning Developer & Data Scientist
- Kanta Eng, Former Volunteer – Junior Marketing Specialist
- Christopher Franz, Former Volunteer – Local Data (North Carolina)
- Krystyn Knockwood, Former Volunteer – Social media and Test User
- Arinze Chukwu G. Ofodile, Former Volunteer – Data Analyst & Curator
- Ariel Hansen, Former Volunteer – Social media & Fundraising
- Rasmi Davu, Former Volunteer – Epidemiologist
- Chris Grant, Former Volunteer – Epidemiologist
- Aditya Kiran, Former Volunteer – Epidemiologist
- Tanaya Joshi, Former Volunteer – Python Developer & QA Engineer
- Shiyi Gong, Former Volunteer – Python Developer & QA Engineer
- Huawei (Steven) Wu, Former Volunteer – Epidemiologist
- Dipayan Mukherjee, Former Volunteer – Python developer
- Quoc Huynh, Former Volunteer – Python developer
- Wentian (Jude) Zhu, Former Volunteer – Python developer
- Sara Grever, Former Volunteer – Data collector
- Younchan Hwang, Former Volunteer – Data collector
- Samarth Urs, Former Volunteer – Python Quality Assurance Engineer
- Harsh Singh, Former Volunteer – Python Quality Assurance Engineer
- Harsh Vora, Former Volunteer – Python Quality Assurance Engineer
- Gutao Ying, Former employee – COO
- Marcus (Minh) Le, Former employee – Strategic Planning and Societal Risk Analyst
If your name is not listed here, please know that we value your contributions and are in the process of updating our records to ensure that everyone is recognized.
Acknowledgements
We especially thank institutions such as the Centers for Disease Control and Prevention (CDC) and the U.S. Census Bureau whose work and resources have been fundamental to our approach. (Disclaimer for app: This product uses the Census Bureau Data API but is not endorsed or certified by the Census Bureau.)
We gratefully acknowledge use of the following outside sources of data. These data have played a critical role in our estimates and analyses:
- Center of Disease Control (CDC) Data
- U.S. Census Bureau Data
- NYC Health COVID-19 Data
- North Carolina Department of Health and Human Services
- Mask usage estimates, courtesy of The New York Times
- Data on COVID-19 cases and deaths, courtesy of The New York Times
- FIPS Codes for all counties, provided by the Federal Communications Commission