Neural Network aided quarantine control model estimation of COVID spread in Wuhan, China
Raj Dandekar, George Barbastathis. arXiv 2020.
CV
Education
- B.S. in GitHub, GitHub University, 2012
- M.S. in Jekyll, GitHub University, 2014
- Ph.D in Version Control Theory, GitHub University, 2018 (expected)
Work experience
- Summer 2015: Research Assistant
- Github University
- Duties included: Tagging issues
- Supervisor: Professor Git
- Fall 2015: Research Assistant
- Github University
- Duties included: Merging pull requests
- Supervisor: Professor Hub
Skills
- Skill 1
- Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
- Skill 3
Publications
A machine learning aided global diagnostic and comparative tool to assess effect of quarantine control in Covid-19 spread
Raj Dandekar, Chris Rackauckas, George Barbastathis. Cell Patterns 2020.
Bayesian Neural Ordinary Differential Equations
Raj Dandekar, Vaibhav Dixit, Mohamed Tarek, Aslan Garcia-Valadez, Chris Rackauckas. LAFI 2021.
Safe Blues: The case for virtual safe virus spread in the long-term fight against epidemics
Raj Dandekar, Shane G Henderson, Hermanus M Jansen, Joshua McDonald, Sarat Moka, Yoni Nazarathy, Christopher Rackauckas, Peter G Taylor, Aapeli Vuorinen. Cell Patterns 2021.
Talks
Bayesian Neural Ordinary Differential Equations
Talk at Languages for Inference (LAFI), remote
Scientific ML: Applications to the Covid-19 pandemic
Talk at Data Science Summit 21, BITS Mesra, remote
Tutorial on Bayesian Neural ODE: NUTS Sampler
Tutorial at Julia SciML organization,
Tutorial on Bayesian Neural ODE: SGLD Sampler
Tutorial at Julia SciML organization,
Teaching
Service and leadership
- Currently signed in to 43 different slack teams