Neuroscience

Datacast Episode 49: Computational Neuroscience, Quantitative Finance, and Churn Prediction with Carl Gold

Datacast Episode 49: Computational Neuroscience, Quantitative Finance, and Churn Prediction with Carl Gold

Carl Gold, the Chief Data Scientist at Zuora, has a Ph.D. from the California Institute of Technology and first-author publications in leading Machine Learning and Neuroscience journals. Before coming to Zuora, he spent most of his post-academic career as a quantitative analyst on Wall Street. Now a data scientist, Carl has written a book about using insights from data to reduce customer churn, to be released in December 2020 entitled "Fighting Churn With Data."

Datacast Episode 34: Deep Learning Generalization, Representation, and Abstraction with Ari Morcos

Datacast Episode 34: Deep Learning Generalization, Representation, and Abstraction with Ari Morcos

Ari Morcos is a Research Scientist at Facebook AI Research working on understanding the mechanisms underlying neural network computation and function and using these insights to build machine learning systems more intelligently. In particular, Ari has worked on a variety of topics, including understanding the lottery ticket hypothesis, the mechanisms underlying common regularizers, and the properties predictive of generalization, as well as methods to compare representations across networks, the role of single units in computation, and on strategies to measure abstraction in neural network representations.

Previously, he worked at DeepMind in London, and earned his Ph.D. in Neurobiology at Harvard University, using machine learning to study the cortical dynamics underlying evidence accumulation for decision-making.

Datacast Episode 11: Psychology and Neuroscience in Data Science with Francisco Carrera Arias

Datacast Episode 11: Psychology and Neuroscience in Data Science with Francisco Carrera Arias

Francisco Carrera Arias, B.S. is currently a data scientist/analyst for MotionPoint Corporation and a research assistant for the Clinical Systems Biology group at Nova Southeastern University. His current work entails performing a variety of data analyses to better inform business decisions as well as using discrete logic to analyze complex biological regulatory networks for the purposes of identifying and simulating treatment courses for chronic illnesses such as Gulf War Illness.