Derek Farren
Hey!
I enjoy implementing scalable Machine Learning algorithms, playing guitar and having fun with my kids. I am originaly from Chile, now living in Silicon Valley.
You can reach me at dfarren {a t] gmail .
My www footprint:
linkedin
github
google+
My research:
Low Latency Anomaly Detection and Bayesian Network Prediction of Anomaly Likelihood
by Derek Farren, Thai Pham, Marco Alban-Hidalgo. 2016.
Sherlock: A real time and scalable anomaly detector using parallel sparse regression
by Derek Farren. INFORMS 2014.
Analysis of Networks in Chess
by Derek Farren, Daniel Templeton and Meiji Wang. Stanford CS224W project, 2013.
Predicting retail website anomalies using Twitter data
by Derek Farren. Stanford CS229 project, 2012.
Modeling an economic system using Agent Based Simulation
by Derek Farren. Master’s thesis, Universidad Adolfo Ibanez, 2005.
Economic experiments using Agent Based Simulation
by Derek Farren. Universidad Adolfo Ibanez, 2004.
My CV
.
My current
blog
, and my
legacy blog (in spanish)
.
Wanna play music with me? I am pretty busy, but it would be hard for me to say no if you are good. This is
me playing guitar
.