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!
Daniel is a PhD student in Astronomy, with a fellowship in Computational Science and Engineering, at the University of Illinois at Urbana-Champaign. He obtained his Bachelor's degree in Engineering Physics, with Honors, from IIT Bombay. He is currently a Research Assistant in the Gravity Group at the National Center for Supercomputing Applications (NCSA), a member of the LIGO, NANOGrav, and Dark Energy Survey (DES) collaborations, and an LSST Data Science Fellow, working at the interface of deep learning, high-performance computing, and gravitational wave and multimessenger astrophysics. He is also a part-time intern working on deep learning and natural language processing at Wolfram Research. His long-term interests lie in applying cutting-edge computer science and technology, especially artificial intelligence, to accelerate discoveries in the fundamental sciences.
- Gravitational Wave and Multimessenger Astrophysics
- Machine Learning, Deep Learning
- Signal Processing, Data Science
- High Performance Computing, Numerical Relativity
- LIGO, LSST, DES
- Natural Language Processing
- Artificial Intelligence
- Indian Institute of Technology (IIT) Bombay - Bachelor of Technology in Engineering Physics
Distinctions / Awards
- Computational Science and Engineering Fellowship
- LSST Data Science Fellowship
- 1st place in ACM Graduate Student Research Competition at SC17
- Best Poster Award in the 24th IEEE International Conference on HPC, Data, and Analytics (2017)