Scholar
Davin Hill
Google Scholar ID: lFRNvCMAAAAJ
Northeastern University
Citations & Impact
Citations
185
H-index
7
i10-index
5
Publications
16
Co-authors
8
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers in conferences and journals such as NeurIPS 2025, AISTATS 2025, ICLR 2025, AISTATS 2024, Nature Genetics 2024, NeurIPS 2023, ASHG 2023, Nature Genetics 2023, ICLR 2022.
Research Experience
- Works in Dr. Jennifer Dy’s Machine Learning Lab, focusing on interpretability and uncertainty quantification. Collaborates with Dr. Michael H. Cho’s research lab at Mass General Brigham on applying machine learning methods to COPD-related challenges. Industry experience includes internships with Optum AI, Wayfair, and Blue Cross Blue Shield, as well as lead analyst roles in the Oil & Gas, Wind, and Power Generation businesses of General Electric.
Education
- PhD: Electrical and Computer Engineering, Northeastern University, Advisor: Jennifer Dy; MS: Statistics, University of Illinois at Urbana-Champaign; BS: Economics and Business Administration, UNC Chapel Hill.
Background
- PhD candidate in the ECE department at Northeastern University and part of Dr. Jennifer Dy’s Machine Learning Lab at the SPIRAL research center. Broadly interested in improving transparency in black-box prediction models, specifically in relation to interpretability and uncertainty quantification. Collaborates with Dr. Michael H. Cho’s research lab at Mass General Brigham on applying machine learning methods to various challenges related to Chronic Obstructive Pulmonary Disease (COPD).
