I'm studying Data Science at the
Institute for Computational and Mathematical Engineering at Stanford University.
I love photography, design, fine art, and coffee
My work.
I'm at the intersection of left and right brain.
I bring creativity, artistry, aesthetic, and interpersonal skills to computational science. I've been involved in a
wide variety of research projects from particle identification algorithms at CERN to crowd interaction modeling at Yale Law School.
I've developed a wide range of numerically driven software. My Deep Learning software is currently in use at the
ATLAS detector at CERN.
I've recently become more interested in creating intuitive API bindings
to powerful Machine Learning software I've developed. I think easy-to-use Machine Learning can
increase interest in computer science and in numerical sciences all around while giving access to
useful tools for any discipline from Economics to High Energy Physics.
When I'm not thinking numerically, you can probably find me biking, playing classical guitar, or at a easel painting.
My research.
My main research area is the development and refinement of machine learning algorithms for High Energy Physics.
While at Yale, I worked with Professor Tobias Golling in the Yale Physics Department. I designed and developed AGILEPack -- a comprehensive Deep Learning Framework for the European Center for Nuclear Research (CERN). You can find the code for the framework at my github, and general information about particle identification (called flavour tagging in the High Energy Physics community) here. The framework has the potential to train classifiers to be used in a variety of Physics searches, including the $\tilde{t} \rightarrow c + \tilde{\chi}_{1}^{0}$ search, the $H\rightarrow c\bar{c}$ search, the $H\rightarrow b\bar{b}$ search, the $W'\rightarrow tb$ search, and others involving identification of boosted bosons.
I'm now looking to start collaborating with SLAC on applying Deep Learning to look at jet images in the calorimeter of the ATLAS detector.
I've worked on projects in a wide variety of subjects from Law to Economics to Dark Matter research.
My skills.
Programming
C++, C, R, Python, Matlab, Perl, Bash.
I write a lot of C++. Don't believe me? Check out my report card.
General Computing
Batch computing. GP2U programming. Basic sys-admin skills.
Extensive experience with , .
Some experience with .
$\LaTeX$, MS Office, Photoshop.
Applied Mathematics
Coursework in Machine Learning, Data Analysis, Data Mining, Algorithm Design, Numerical Methods, Functional Analysis, Real Analysis.