I am a data scientist employing a range of statistical and machine learning methodologies to generate predictions with quantified uncertainty estimates.
With a PhD background in theoretical and computational nuclear physics, I have 5+ years’ experience implementing algorithms to solve complex mathematical problems. My analytical and computational specialization drive my passion for data science and machine learning - collecting and analyzing data sets; building accurate AI models and generating predictions with quantified uncertainty estimates.
I am a results oriented researcher and communicator, producing 8 publications in < 5 years; delivering 5 talks and presenting 5+ posters at leading conferences in my field at both local and international levels.