Computation And Modeling (Layerone 2009)
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Description:
This is the video of the presentation titled "Computation and Modeling" given by Doug Cohen at LayerOne 2009. You can download the slides here.
Talk Description: Computational models are used to understand and predict behavior of many kinds of systems. They come in two flavors, theoretical and statistical, both of which have proven useful in modern day applications. Theoretical models often are preferable to statistical models because they utilize an underlying intuition that can be used in the particular. I have had experience building both kinds of models for systems biology, computational finance and internet marketing applications. In order to create these kinds of models, extensive data mining systems need to be implemented, for both model creation and validation. Each particular application has its own processes for creation and implementation, but understanding broadly how to create and implement models is becoming invaluable in many sectors.
Speaker Bio: Douglas Cohen previously worked as an analyst for a quantitative hedge fund where he built computational models for credit derivatives, fixed income securities and risk management. Currently, he works as an analyst building models to predict consumer behavior in social media applications and games. He attended the University of California, San Diego where he majored in Bioengineering: Biotechnology and Management Science and graduated Cum Laude with honors from the Economics department. While attending he worked at the Jacobs Retinal Center producing imaging software for the neural engineering laboratory, and creating innovative models applied to both bioengineering and econometrics.
Talk Description: Computational models are used to understand and predict behavior of many kinds of systems. They come in two flavors, theoretical and statistical, both of which have proven useful in modern day applications. Theoretical models often are preferable to statistical models because they utilize an underlying intuition that can be used in the particular. I have had experience building both kinds of models for systems biology, computational finance and internet marketing applications. In order to create these kinds of models, extensive data mining systems need to be implemented, for both model creation and validation. Each particular application has its own processes for creation and implementation, but understanding broadly how to create and implement models is becoming invaluable in many sectors.
Speaker Bio: Douglas Cohen previously worked as an analyst for a quantitative hedge fund where he built computational models for credit derivatives, fixed income securities and risk management. Currently, he works as an analyst building models to predict consumer behavior in social media applications and games. He attended the University of California, San Diego where he majored in Bioengineering: Biotechnology and Management Science and graduated Cum Laude with honors from the Economics department. While attending he worked at the Jacobs Retinal Center producing imaging software for the neural engineering laboratory, and creating innovative models applied to both bioengineering and econometrics.