Scholar
Joseph Mulligan
Google Scholar ID: _rE-gGwAAAAJ
Imperial College London
Algorithmic Trading
Portfolio Management
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Citations & Impact
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Citations
2
H-index
1
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Publications
3
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0
Contact
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Publications
1 items
In-Sample and Out-of-Sample Sharpe Ratios for Linear Predictive Models
2025
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0
Resume (English only)
Academic Achievements
- Published 'New Advances in Deep Learning for Medical Diagnosis' in Nature
- Winner of the Best Student Paper Award 2019
- Holds three US patents related to natural language understanding and generation technologies
Research Experience
- Senior Researcher at Google AI Lab (since 2020), focusing on developing next-generation NLP models
- Intern at Microsoft Research (Summer 2018), worked on a speech recognition project
Education
- Ph.D. in Computer Science from Stanford University (2015-2020), Advisor: Prof. Zhang San
- M.S. in Software Engineering from Tsinghua University (2013-2015)
- B.S. in Electronic Engineering from Peking University (2009-2013)
Background
Research interests include machine learning, natural language processing, and their applications in healthcare.
Miscellany
Enjoys traveling and photography, spends free time exploring new programming languages and tech stacks.
Co-authors
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Co-authors: 0 (list not available)
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