Machine Learning

ML from scratch, neural nets, recommender systems, anomaly detection, SVM, PCA.

Data Science & Experimentation

A/B testing, causal inference, predictive modeling. Industry experience at Quora, Yelp, UMG.

Computational Neuroscience

Brain network analysis, EEG/LFP data, community detection, seizure analysis, Kuramoto models.

Matrix Theory & Linear Algebra

Inverse eigenvalue problems, spectral graph theory, combinatorial matrix theory.

Graph Theory & Combinatorics

Permanent ranks, cycle analysis, matchings, spectral characterizations.

Shell & Bash

Script parallelization, display manipulation, I/O controls, command-line tools.

Signal Processing

Mutual information, filtering, Fourier transforms, power spectral density, cross-correlation.

Teaching

Graduate & undergraduate courses, flipped classroom, math visualizations, outreach.