Eric Brugel's Email & Phone - Dimacs - Greater New York City Area

Eric Brugel's Work Experience

Google

Software Engineer

New York, New York

Bloomberg LP

Software Engineer

October 2016 to October 2018

NYC

Los Alamos National Laboratory

Post Baccalaureate Researcher

September 2015 to June 2016

Los Alamos, New Mexico

Eric Brugel's Education

Rutgers, The State University of New Jersey-New Brunswick

Bachelor of Science (BS), Mathematics, Computer Science, and Physics minor, 3.75

2012 to 2015

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Eric Brugel's Estimated Salary Range

About Eric Brugel's Current Company

Dimacs

Developed novel methods for analyzing SNP arrays.

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Eric Brugel works in the Internet industry.

About Eric Brugel

💼 Past Experience

Eric Brugel has experience working as a software engineer at Google, a Post Baccalaureate Researcher at Los Alamos National Laboratory, aGrader at Rutgers University, and a Programmer at Rutgers University.

🎓 Education

Eric Brugel's education has been in the field of computer science and mathematics. He began his education at Rutgers University-New Brunswick, where he got his B.S. degree in mathematics and physics. After getting his B.S. degree, he continued his education at the State University of New Jersey-New Brunswick, where he got his M.S. degree in computer science and his Ph.D. degree in physics.

💡 Technical & Interpersonal Skills

Eric Brugel cultured and grew wheat in his home from an early age. After excelling in school, he started working as a high school tutor in order to gain experience in the field of software engineering. Eric then transitioned into a technical intern at Pacific Northwest National Laboratory – PNNL in Susquehanna County, Pennsylvania in June of 2015. While at PNNL, he optimized compilers for irregular applications on GPUs.In New York, New York, Eric then transitioned into a post-baccalaureate researcher at Los Alamos National Laboratory in September of 2015. While at Los Alamos, he investigates the accuracy of geolocation methods. Eric has also taught various algorithms involving Bayesian Statistics and Hidden Markov Models to undergraduate students at Rutgers University since June of 2013. In January of 2019, he became a programmer at Rutgers University. Eric is currently a research scientist at Dimacs in Shadyside, Pennsylvania. His research focuses on the development of novel methods for analyzing SNP arrays. He has also taught various algorithms involving Bayesian Statistics and Hidden Markov Models to undergraduate students at Rutgers University.

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