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Quantitative Software Research Group at Georgia Tech

The Quantitative Software Research Group investigates systematic algorithms for trading and investing. Our focus is on Machine Learning, but we are also interested in other types of algorithms that inform us about markets and trading.

Members of Our Group

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Tucker Balch, Ph.D., Director, Quant Software Research Group
Professor, Interactive Computing, Georgia Tech
Chief Scientist, Lucena Research, Inc.
website

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Maria Hybinette, Ph.D.
Associate Professor, Computer Science, University of Georgia

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David Byrd, Graduate Student and Head TA
Research Scientist, Interactive Media Technology Center, Georgia Tech

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Brian Hrolenok, Ph.D. Student and Head TA
Multiagent Robotics and Systems Lab
website

Alumni

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Sourabh Bajaj, MSCS, Georgia Tech
Software Engineer, Coursera Inc
website

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Devpriya Dave, MSCS, Georgia Tech
Quant Developer, Morgan Stanley

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Jayita Bhattacharya, MSCS, Georgia Tech
Software Engineer (Playlist), Pandora Media

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Alexander Moreno
Ph.D. student, Georgia Tech

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Rohit Sharma, MS QCF, Georgia Tech
Blackrock Capital

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Vishal Shekhar, MS QCF, Georgia Tech
Software Engineer, Axioma Inc.
website

Publications

  • Moreno, Alexander, and Tucker Balch. "Speeding up large-scale financial recomputation with memoization." Proceedings of the 7th Workshop on High Performance Computational Finance. IEEE Press, 2014. (conference)
  • Moreno, Alexander, and Tucker Balch. "Improving financial computation speed with full and subproblem memoization." Concurrency and Computation: Practice and Experience (2015). (Journal) [1]