J. Andrew Casey-Clyde work email
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I am a PhD Research Assistant with 8+ years of data analysis, modeling, and research experience on astrophysics projects. I have recently graduated from my doctoral program, and am interested in Data Scientist and Research Scientist opportunities in industry. I am passionate about data analysis and modeling projects. I have lead 3 scientific research papers analyzing gravitational wave data and modeling supermassive black hole binary populations. This includes leading a paper for a collaboration of 100+ scientists. I have additionally co-authored 15+ other research papers and two white papers. To communicate our findings, I have presented research results at 25+ meetings, conferences, and seminars.I have extensive experience implementing Bayesian data analyses and population modeling modeling pipelines. I am especially adept at combining data from multiple, independent sources to produce models that accurately account for all available data. I have strong research skills and am always keen to learn new data analysis methods. I am also experienced with machine learning techniques, including density estimation, clustering, classification, and neural networks.
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Data ScientistRelantoCalifornia, United States -
Visiting Assistant In ResearchYale University Sep 2023 - PresentNew Haven, Connecticut, United StatesAnalyzing astrophysical data to model supermassive black hole binary (SMBHB) populations. - Led gravitational wave data analysis and modeling project for collaboration of 100+ scientists. - Developed Bayesian, data-driven statistical models of individual SMBHBs and SMBHB populations. - Constructed pipeline to simulate millions of SMBHBs and their gravitational wave signals - Used simulation pipeline to aid interpretation of observed gravitational wave data. -
Graduate Research And Teaching AssistantUniversity Of Connecticut Aug 2019 - PresentStorrs, Connecticut, United StatesCreated and implemented 3 hierarchical Bayesian models of supermassive black hole binary (SMBHB) populations - Combined data from independent sources to produce models consistent with all known information. - Used Bayesian models to infer population properties, including mass, distance, and numerosity. - Developed novel method to efficiently sample multivariate probability distributions. -
Student Research AssistantTower Foundation Of Sjsu Jun 2019 - Aug 2019 -
Graduate Research And Teaching AssociateSan Jose State University Jan 2017 - May 2019San Francisco Bay Area -
Software EngineerSalient Process Inc Feb 2015 - Aug 2016Sacramento, California AreaBuild and maintain several software solutions for both internal use, as well as for customers and clients.
J. Andrew Casey-Clyde Skills
J. Andrew Casey-Clyde Education Details
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Physics -
Computational Physics -
Physics
Frequently Asked Questions about J. Andrew Casey-Clyde
What company does J. Andrew Casey-Clyde work for?
J. Andrew Casey-Clyde works for Relanto
What is J. Andrew Casey-Clyde's role at the current company?
J. Andrew Casey-Clyde's current role is Data Scientist.
What is J. Andrew Casey-Clyde's email address?
J. Andrew Casey-Clyde's email address is jc****@****ess.com
What is J. Andrew Casey-Clyde's direct phone number?
J. Andrew Casey-Clyde's direct phone number is +140869*****
What schools did J. Andrew Casey-Clyde attend?
J. Andrew Casey-Clyde attended University Of Connecticut, San Jose State University, University Of California, Davis.
What are some of J. Andrew Casey-Clyde's interests?
J. Andrew Casey-Clyde has interest in Programming, New Technology, Physics, Space Exploration, Relativity, Black Holes, Cosmology, Astrophysics, Gravitation.
What skills is J. Andrew Casey-Clyde known for?
J. Andrew Casey-Clyde has skills like Java, Javascript, Physics, C, C++, Latex, Linux, Astrophysics, Python, R, Sql, Statistics.
Who are J. Andrew Casey-Clyde's colleagues?
J. Andrew Casey-Clyde's colleagues are Francesco Beraldi, Katie Madow, Donna Caporale-Colon, Jazmin Figueroa Bodine, Md, Ccrp, Kayla Bland, Merix Guillory, Richard Deloitte.
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