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 .

• linkedin
• github
• google+

• 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.