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Siinn Che
Data Scientist at AllianceBernstein


Siinn Che is a data scientist on the centralized data science team at AllianceBernstein. His research is focused on applying machine learning techniques to solve challenging business problems, including developing deep learning models to improve the existing investment process, building a natural language processing pipeline to extract investment signal, and building LSTM models for time-series prediction. Before joining AllianceBernstein in 2018, he was a physicist at CERN, where he searched for fundamental particles beyond the standard theory. He holds a BA in Mathematics and Physics from UC Berkeley and a Ph.D. in Particle Physics from the Ohio State University.

Agenda Sessions

  • Use cases: Using AI and ML to develop models in asset management