My interests are at the interface of digital health, time series analysis, and machine learning. I currently work on applications of machine learning in healthcare at Philips Research with a special interest in decision analysis for clarifying uncertain and dynamic decision problems in critical care. Previously, I obtained my PhD in neural engineering and was a data scientist at Stitch Fix.
A simple Markov score is a discriminative feature for classifying arrhythmia from heart rate sequences.
Dec 24, 2018
Improving forecasts with explanatory variables. An example using search trends from Google Correlate to forecast US weekly initial claims for unemployment.
Dec 05, 2018
Notes on linear state-space models used in time-series analysis for filtering, prediction, and smoothing problems.
Feb 02, 2016