I am an Assistant Adjunct Professor (i.e. a postdoc) in the Department of Mathematics at UCLA, working with Wotao Yin. My work lies in the intersection of machine learning, signal processing and optimization. I am particularly interested in devising new algorithms for old problems that scale efficiently to large data sets. My recent and ongoing projects include:
- Using compressed sensing to devise new approaches to high-dimensional zeroth order optimization.
- Using path metrics to get a handle on high-dimensional point clouds, particularly when they are sampled from a low dimensional manifold.
- Designing new architectures for implicit depth neural network that allow for more efficient training.
I received my PhD from the University of Georgia in May 2019, under the supervision of Ming-Jun Lai. Prior to that I was an undergraduate at the University of Cape Town, from where I also received my Master’s degree. In between Cape Town and Athens, Georgia I spent a semester at the University of Bayreuth working with Fabrizio Catanese.
I enjoy teaching upper and lower division courses, and strive to make my classrooms a welcoming space for all. Lately I have been thinking a lot about best practice for teaching data science related courses. You can find more information on my teaching page.
You can reach me at [my surname]@math.ucla.edu. My physical address is Office 5346, Mathematical Sciences Building, 520 Portola Plaza, Los Angeles, 90095.