Prof. Eliu Huerta and Grad Student Daniel George are pioneering the use of Deep Learning to study gravitational waves. Read more here
Daniel is a PhD student in Astronomy and a Computational Science and Engineering Fellow at the University of Illinois at Urbana-Champaign. He obtained his Bachelor's degree in Engineering Physics from IIT Bombay. He is a Research Assistant in the Gravity Group at the National Center for Supercomputing Applications (NCSA), working with Profs. Gabrielle Allen, Eliu Huerta, Zhizhen Zhao, and Ed Seidel. He is also a member of the LIGO, NANOGrav, and Dark Energy Survey (DES) collaborations, and an LSST Data Science Fellow. He has previously worked at Los Alamos National Lab and is currently a machine learning intern at Wolfram Research (Mathematica, WolframAlpha). He will be working at Google X as a Machine Learning Resident for Physical Sciences in summer 2018. He recently won the 2018 NVIDIA Graduate Fellowship.
- Gravitational Wave and Multimessenger Astrophysics
- Machine Learning, Deep Learning
- Signal Processing, Data Science
- High Performance Computing, Numerical Relativity
- LIGO, LSST, DES, JWST, eLISA
- Natural Language Processing, Artificial Intelligence
Daniel’s research is at the interface of deep learning, high-performance computing, and gravitational wave astrophysics. He employs massively parallel physics simulations on petascale supercomputers including Blue Waters for generating data to train artificial intelligence algorithms that he is developing for time-series signal processing, using deep neural networks which can exploit emerging hardware architectures such as deep-learning-optimized GPUs, to enable real-time analysis of highly noisy big data from the LIGO detectors and telescopes such as LSST to push the frontiers of multimessenger astrophysics. His long-term interests lie in applying cutting-edge computer science and technology, especially artificial intelligence, to accelerate discoveries in the fundamental sciences.
Research group webpage: http://gravity.ncsa.illinois.edu/
- IIT Bombay - Bachelor of Technology in Engineering Physics (with Honors) - 2015
- University of Illinois at Urbana-Champaign - Master of Science in Astronomy - 2017
Distinctions / Awards
- NVIDIA Graduate Fellowship
- Computational Science and Engineering Fellowship
- LSST Data Science Fellowship
- 1st place in ACM Graduate Student Research Competition at SC17
- 2nd place in HackCulture hackathon twice (2016 and 2017)
- Best Poster Award in the 24th IEEE International Conference on HPC, Data, and Analytics (2017)
- IEEE TCPP Award for HiPC 2017
- Fermilab New Perspectives conference 2017 travel grant
- NIPS 2017, Deep Learning for Physical Sciences travel grant
In The News
Daniel George won first place in the SC17 ACM Student Research Competition!! This work included new deep learning algorithms, black hole simulations with the Einstein Toolkit, and LIGO gravitational wave data analysis. Congratulations, Daniel!