max.zhao@stanford.edu

Max Zhao

How this works

The name is terrain: f=1−0.62 (Gσ1∗L)−0.30 (Gσ2∗L)+ηf = 1 - 0.62\,(G_{\sigma_1} * L) - 0.30\,(G_{\sigma_2} * L) + \eta, where LL is the letter mask, GσG_\sigma a Gaussian blur, and η(x)=∑kakcos⁡(k⋅x)+bksin⁡(k⋅x)\eta(\mathbf{x}) = \sum_{\mathbf{k}} a_{\mathbf{k}} \cos(\mathbf{k} \cdot \mathbf{x}) + b_{\mathbf{k}} \sin(\mathbf{k} \cdot \mathbf{x}) a random field whose coefficients follow Ornstein–Uhlenbeck processes, dak=−θ ak dt+σ dWda_{\mathbf{k}} = -\theta\, a_{\mathbf{k}}\,dt + \sigma\,dW. Water fills the sublevel set {x:f(x)≤t}\{\mathbf{x} : f(\mathbf{x}) \le t\}, the pixel filtration my flood detection paper runs on radar images. The inset is its persistence diagram, recomputed every frame by union-find: dots are pools (H0H_0), rings are islands (H1H_1), and β0,β1\beta_0, \beta_1 count those alive at the current level tt. Dragging across the name subtracts a Gaussian from ff, digging channels and rings.

Hi! I’m an 18yo studying CS + Math at Stanford. I’m a big fan of The Smiths and Deftones. I grew up in Northern Virginia and attended TJHSST, where I:

Won awards in USAMO and USAPhO
Served as concertmaster of school, All-Region, and All-Virginia orchestras

Things I’ve built:

Palantir Technologies, Valley Forge Grant:
Flood response operations platform for county-level emergency coordinators

US Naval Research Lab, Radar Division:
Topology-informed ML models for satellite flood detection
Regeneron STS Scholar

George Mason University, Algorithms Lab:
Quantum-inspired algorithm for combinatorial optimization
S.T. Yau Science Award USA Gold Prize in Physics