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.
Arrhythmia classification with stationary first order Markov process
A simple Markov score is a discriminative feature for classifying arrhythmia from heart rate sequences.
Dec 24, 2018
Nowcasting: Maintaining real time estimates of infrequently observed time series
Improving forecasts with explanatory variables. An example using search trends from Google Correlate to forecast US weekly initial claims for unemployment.
Dec 05, 2018
State space models and the Kalman filter
Notes on linear state-space models used in time-series analysis for filtering, prediction, and smoothing problems.
Feb 02, 2016
Human pose estimation in natural scenes
Aug 14, 2015
Pandoc static site generator
May 20, 2015
Data science at the command line
Dec 25, 2014
Punchcard visualization using D3.js
Aug 12, 2014
Data Mining PubMed
Mar 12, 2014