Research interests
Bayesian Machine Learning, Approximate Inference, Recurrent Neural Networks, Continual Learning
Role and responsibilities
I have a mixed background in financial economics and data science. My primary research interest lies in the intersection of approximate inference and parametric machine learning, with a focus on specification efficiency and other idiosyncrasies of Bayesian ML models. Moreover, I am interested in time series forecasting under high temporal distribution shift & noise.