"When it came to real-world complexities, the elegant equations and the fancy mathematics he’d spent so much time on in school were no more than tools – and limited tools at that" -- The Emerging Science at the Edge of Order and Chaos (by M. Mitchell Waldrop)
"I knew that if I failed I wouldn't regret that, but I knew the one thing I might regret is not ever having tried" -- Jeff Bezos' version of "regret minimization"
"一把青秧插野田, 低头便见水中天, 六根清净方为道, 退步原来是向前"
2023 ~ present: David M. McKenney Family Associate professor, ISyE, Georgia Tech.
The Exchange's Climate Tech Fellowship 2025, New York Climate Exchange
2022 ~ 2023: John L. Imhoff Endowed Chair and Assistant Professor, Department of Industrial Engineering, University of Arkansas.
2017 ~ 2023: Assistant Professor, Department of Industrial Engineering, University of Arkansas.
2015 ~ 2017: Research Staff Member (RSM), IBM Thomas J. Watson Research Center, Yorktown Heights, New York.
2012 ~ 2015: Research Staff Member (RSM), IBM Smarter Cities Research Collaboratory, Singapore.
2013 ~ 2016: Adjunct Assistant Professor, Department of Industrial and Systems Engineering, National University of Singapore.
physics-informed statistical learning and prediction for nonlinear dynamics (e.g., advection-diffusion, collision, etc.).
machine learning for adaptive reduced-order modeling.
inverse modeling and optimal sampling.
wildfires and power grid resilience.
remote-sensing data modeling and environmental processes (e.g., propagation of smoke and aerosols).
stochastic degradation and maintenance, reliability, and survival analysis.
ensemble trees for recurrence data, gradient boosted trees for Gaussian process, structural boosting trees for edge detection, etc.