Uriel Morone

Uriel Morone has a diverse work experience in data science and research. Their most recent position is as a Senior Data Scientist at Coin Metrics, where they conduct research on institutional-grade cryptocurrency data and metrics. Uriel utilizes their analytics and mathematics background to uncover insights and improve existing methodologies using Python and scientific computing packages.

Prior to this, Uriel worked as a Research Scientist at Amazon Web Services from 2018 to 2021. In this role, they focused on solving network capacity problems and worked on time series forecasting, accuracy metrics, and failure modeling.

From 2016 to 2018, Uriel was a Data Scientist - Operations Research at Revenue Management Systems, Inc. where they applied operations research techniques to optimize data analysis processes.

During their time at UC San Diego from 2011 to 2016, Uriel served as a Graduate Research Assistant. Uriel worked on predictive modeling of various physical systems, including neuron dynamics and weather prediction. Uriel developed algorithms to make quantitative predictions feasible when only a limited subset of model variables could be recorded.

Uriel also gained experience as a Software Engineer Intern at Google in 2015.

Overall, Uriel Morone has a strong background in data science, research, and predictive modeling, with expertise in areas such as cryptocurrency data analysis, network capacity optimization, and algorithm development.

Uriel Morone completed their Bachelor's Degree in Physics from Washington University in St. Louis from 2007 to 2011. They then pursued a Doctor of Philosophy (Ph.D.) in Physics at UC San Diego from 2011 to 2016.