Scholar
Harrison Katz
Google Scholar ID: 0_TiSfYAAAAJ
Forecasting Data Science, Airbnb
Statistics
Forecasting
Bayesian Data Analysis
Compositional Time Series
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Citations & Impact
All-time
Citations
17
H-index
2
i10-index
1
Publications
10
Co-authors
2
list available
Contact
No contact links provided.
Publications
14 items
When Should Forecasting Models Be Re-Specified? A Cost-Sensitive Trigger for Adaptive Model-Form Updating
2026
Cited
0
Retraining as Approximate Bayesian Inference
2026
Cited
0
Coupled Supply and Demand Forecasting in Platform Accommodation Markets
2026
Cited
0
Forecasting the Evolving Composition of Inbound Tourism Demand: A Bayesian Compositional Time Series Approach Using Platform Booking Data
2026
Cited
0
Directional-Shift Dirichlet ARMA Models for Compositional Time Series with Structural Break Intervention
2026
Cited
0
Impact by design: translating Lead times in flux into an R handbook with code
2025
Cited
0
Centered MA Dirichlet ARMA for Financial Compositions: Theory & Empirical Evidence
2025
Cited
0
Slomads Rising: Stay Length Shifts in Digital Nomad Travel, United States 2019-2024
2025
Cited
0
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Resume (English only)
Academic Achievements
- Published 'Improving Medical Image Analysis with Deep Learning' in Nature, 2019
- Best Paper Award, International Conference on Machine Learning, 2018
Research Experience
- Senior Researcher, Google Health, focusing on developing AI-powered diagnostic tools, 2020-Present
- Research Assistant, MIT CSAIL, involved in several AI projects, 2016-2020
Education
- Ph.D., Computer Science, Massachusetts Institute of Technology (MIT), Advisor: Prof. Zhang, 2015-2020
- M.S., Computer Engineering, Stanford University, 2013-2015
Background
Research interests include artificial intelligence, machine learning, and their applications in healthcare. Holds a Ph.D. in Computer Science.
Miscellany
Enjoys mountain climbing and photography.
Co-authors
2 total
Robert Weiss
Department of Biostatistics, UCLA Fielding School of Public Health
Co-author 2