Scholar
Hilaf Hasson
Google Scholar ID: PqhyosoAAAAJ
Principal Research Scientist at Intuit
Citations & Impact
Citations
446
H-index
7
i10-index
6
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- - Developed the science behind AutoPredictor, see the blog post: 'New Amazon Forecast API that creates up to 40% more accurate forecasts and provides explainability'
- - Developed the science behind Amazon SageMaker Canvas's Quick Build for time series forecasting, see the blog post: 'Train a time series forecasting model faster with Amazon SageMaker Canvas Quick Build'
- - Mentored 4 interns during that time, resulting in published work
- - Developed LSF (the algorithm turning XGBoost, or any other point prediction algorithm, into a probabilistic algorithm; resulting in the 9th most read research paper from Amazon in 2021)
- - Worked on Ensembles in ML (improving the state-of-the-art theoretical guarantees, and developed an algorithm for time series forecasting ensembles)
Research Experience
- - Principal Research Scientist at Intuit AI Research
- - Lead scientist at Amazon Forecast, AWS AI Labs, shortly after its founding
- - Worked at Lumiata
- - Held faculty positions at the University of Maryland, Stanford University, and Penn State University, focusing on Algebraic Geometry and Number Theory
Education
- PhD in Mathematics from the University of Pennsylvania.
Background
- A Principal Research Scientist at Intuit AI Research, overseeing and co-heading the University Collaboration Program for AI, shaping key research initiatives and managing academic alliances to broaden Intuit’s AI research impact. Also leads and contributes to independent research projects that drive innovation across Intuit’s AI ecosystem.
Miscellany
- Personal interests and other unmentioned details
Co-authors