Sotabase

Career

· Postdoctoral Research Fellow, UCSF2021–
· PhD Student, UC Berkeley Department of Statistics2019–

Publications (18)

Definitions, methods, and applications in interpretable machine learning
Proceedings of the National Academy of Sciences of the United States of America · 2019
1,642
cited
Iterative random forests to discover predictive and stable high-order interactions
Proceedings of the National Academy of Sciences of the United States of America · 2017
305
cited
Artificial intelligence and statistics
Frontiers of Information Technology & Electronic Engineering · 2017
174
cited
A Debiased MDI Feature Importance Measure for Random Forests
Neural Information Processing Systems · 2019
97
cited
Curating a COVID-19 data repository and forecasting county-level death counts in the United States
Harvard data science review · 2020
75
cited
Refining interaction search through signed iterative Random Forests
bioRxiv · 2018
24
cited
A novel random forest approach to revealing interactions and controls on chlorophyll concentration and bacterial communities during coastal phytoplankton blooms
Scientific Reports · 2021
21
cited
Learning epistatic polygenic phenotypes with Boolean interactions
bioRxiv · 2020
11
cited
Deciphering epistatic genetic regulation of cardiac hypertrophy
medRxiv · 2023
8
cited
Epistasis regulates genetic control of cardiac hypertrophy
Nature Cardiovascular Research · 2023
7
cited
Iterative Random Forests to detect predictive and stable high-order interactions
2017
4
cited
Designing a Data Science simulation with MERITS: A Primer
Journal of Computational And Graphical Statistics · 2024
3
cited
Signed iterative random forests to identify enhancer-associated transcription factor binding
2018
2
cited
Domain-inspired machine learning for hypothesis extraction in biological data
2019
1
cited
A Novel Random Forest Approach to Revealing Interactions and Disentangling Inland and Oceanic Controls over Coastal Phytoplankton Productivity
Goldschmidt Abstracts · 2020
Detecting and Estimating Filamentary Structures in the Presence of Background Noise
2013
iRF: extracting interactions from random forests
Journal of Open Source Software · 2018
Three principles of data science: predictability, computability, and stability (PCS)
2019
Sotabase
Karl Kumbier | Researcher Profile | Sotabase | Sotabase