LIGO Lab Postdoctoral Associate at MIT. Previously, Graduate Research Assistant in the department of Physics at Louisiana State University. I employ Scientific Data Analysis and Machine Learning to characterize and identify noise and noise sources at Advanced LIGO detectors. I also contribute towards the maintenance and development of software tools required for this analysis.
Reducing Slow Scattering noise in LIGO detectors
Noise classification with GravitySpy
Assistance to Detector Characterization Team at KAGRA, Japan
Fast Scattering Data Analysis
Loud noise transients in LIGO data
Course work, Teaching and Grading Labs and Tutoring
During the first two years as a teaching assistant, I worked towards finishing my course work and passing the qualifying exam. My work also included teaching undergraduate Physics lab, grading lab reports, home works, and assisting undergraduate students in the tutoring center. During this time, I also worked with the Quantum Gravity research group at LSU, and this helped me gain an understanding of cosmology, topology, and general relativity.
I taught Cambridge AS and A level Mathematics and Physics to high school students at a Cambridge affiliated school in Hyderabad, India, for 2.5 years. I used tests, quizzes, and other assignments to gauge students learning and determine understanding of course materials.
Code contribution to include additional noise witness sensors, utility function in gwdetchar/scattering
Code contribution to include a utility function for downstream data analysis, unit tests for the utility function
Data Science and Artificial Intelligence
TensorFlow Specialization on Coursera
Deep Learning Specialization on Coursera
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