Rich Ormiston Email & Phone Number

Experimental physicist, data scientist and machine learning researcher with a strong computer science background and collaborative mindset. Contributor to the 2013 and 2017 Nobel Prizes in Physics. Expertise in deep learning, nonlinear regression, stochastic analysis and model performance, distributed cloud computing, statistical model development, predictive forecasting, and ‘big data’ problems. Enjoys teamwork, leadership and liaising across departments.Github: https://github.com/nd70

• Senior Data Scientist

  Laser Interferometer Gravitational Wave Observatory (Ligo)

  Sep 2015 - Present - Minneapolis, Minnesota, United States

  Develop novel end-to-end signal processing solutions on audio-frequency range datasets > 1TB in scaleDeveloper and team lead of low-latency deep learning data-quality based software for nonlinear and nonstationary noise subtraction and forecasting of time series data. Papers published on the algorithm show a ~200% increase in the detector sensitivity, noise characterization and overall performance.Lead, design and run cross-correlation searches on terabyte-sized signal data streams from multiple servers and perform causal statistical analysis across parallel distributed HDFS computing systems. Turned results into action items steering hardware and software decisions across departmentsPrimary chair and mentor for the A.I research group at LIGO. Role involves organizing and leading machine learning efforts across the collaboration as well as initiating and coordinating a relationship with NVidia. Our combined efforts reduced pipeline run times from hours to seconds allowing for real-time low-latency data for all searchesDesign and construct web page documentation for software packages to cleanly log production pipeline output and provide fast lookup tables and databasesInterface remotely and in person within a diverse, global organization to create innovative team-driven, robust and lightweight algorithms for vital large-scale operationsRegularly present data and circulate results to the 1000 member LIGO collaboration and to the public