About

I am a biostatistician at Rick Hansen Institute & University of British Columbia, I have broad interest to machine learning and stochastic process. While working on my PhD thesis, I have used artificial neural networks to find nonlinear patterns in data. I provide a new model of Poisson regression by combining it with neural networks to relax the traditional Poisson regression assumption of linearity.

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