- 'Deep Learning for Early Cancer Detection', Nature Medicine, 2020.
- 'Improving NLP Models with Transfer Learning', ACL, 2019.
Awards:
- ACM SIGKDD Best Research Paper Award, 2020.
Research Experience
2018-Present: Research Scientist, Google AI Healthcare Team - Leading projects on deep learning models for early cancer detection.
2016-2017: Intern Researcher, Microsoft Research - Contributed to multiple NLP understanding projects.
Education
2010-2014: Bachelor of Computer Science, Stanford University
2014-2018: PhD in Computer Science, Massachusetts Institute of Technology (Advisor: Prof. John Doe)
Background
Research interests include machine learning, natural language processing, and applications of AI in healthcare. Holds a PhD in Computer Science focused on developing technologies that improve the efficiency and quality of medical services.
Miscellany
Enjoys outdoor activities such as hiking and rock climbing; spends free time reading science fiction.