Hi, I’m Kelvin! I’m a PhD candidate in the Uncertainty Quantification (UQ) group at MIT, supervised by Professor Youssef Marzouk. We are also affiliated with the Laboratory for Information and Decision Systems (LIDS). My research is broadly focused on applications of Bayesian methods and inverse problems.
My Vision
I’m passionate about applying fundamental principles in math and statistics to solve global-scale problems, particularly in climate science. I am truly inspired by the diversity of our planet – I strive to make connections and work on problems beyond my immediate environment, whether it’s collaborating with researchers around the world or helping bridge ideas across different scientific communities.
Featured Projects
Earth Remote Sensing
We are developing remote sensing algorithms to retrieve Earth surface properties for climate applications.
Crop Yield Estimation
For another important climate science problem, I worked on quantifying the uncertainty of crop yields in the US.
Autonomous Can Sorting
Throwback to my engineering days. We built a robot from scratch that was able to sort cans for recycling!
