Sotabase

Career

· Technical Staff, TensorZero2025–
· Postdoctoral Researcher, Columbia University2023–2025
· Research Scientist Intern, Meta2022–2022
· Program Manager, Imagia2017–2019
· Scientific Software Researcher, Imagia2016–2017
· Graduate Student, McGill University2015–2018
· Intern Software Analysis And Development, Esterline CMC Electronics2013–2013

Publications (28)

Evaluating White Matter Lesion Segmentations with Refined Sørensen-Dice Analysis
Scientific Reports · 2020
165
cited
On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty
2021
120
cited
Identifying Causal Effect Inference Failure with Uncertainty-Aware Models
Neural Information Processing Systems · 2020
80
cited
Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
International Conference on Machine Learning · 2021
63
cited
Interventions, Where and How? Experimental Design for Causal Models at Scale
Neural Information Processing Systems · 2022
56
cited
CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance
International Conference on Medical Image Computing and Computer-Assisted Intervention · 2017
53
cited
Improving Deterministic Uncertainty Estimation in Deep Learning for Classification and Regression
arXiv.org · 2021
50
cited
Brain Tumor Segmentation Using a 3D FCN with Multi-scale Loss
BrainLes@MICCAI · 2017
45
cited
Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data
Neural Information Processing Systems · 2021
37
cited
Hierarchical Mrf and Random Forest Segmentation of Ms Lesions and Healthy Tissues in Brain Mri
37
cited
B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding
International Conference on Machine Learning · 2023
36
cited
Establishing Evidence-Based Criteria for Directly Observed Hand Hygiene Compliance Monitoring Programs: A Prospective, Multicenter Cohort Study
Infection Control & Hospital Epidemiology · 2014
36
cited
Feasibility of monitoring compliance to the My 5 Moments and Entry/Exit hand hygiene methods in US hospitals.
American Journal of Infection Control · 2016
32
cited
Stochastic Batch Acquisition: A Simple Baseline for Deep Active Learning
Trans. Mach. Learn. Res. · 2021
32
cited
Attentive Task-Agnostic Meta-Learning for Few-Shot Text Classification
2018
31
cited
Scalable Sensitivity and Uncertainty Analysis for Causal-Effect Estimates of Continuous-Valued Interventions
Neural Information Processing Systems · 2022
31
cited
Estimating the Hallucination Rate of Generative AI
Neural Information Processing Systems · 2024
28
cited
GeneDisco: A Benchmark for Experimental Design in Drug Discovery
International Conference on Learning Representations · 2021
25
cited
On the Importance of Attention in Meta-Learning for Few-Shot Text Classification
arXiv.org · 2018
21
cited
DiscoBAX: Discovery of optimal intervention sets in genomic experiment design
International Conference on Machine Learning · 2023
16
cited
Sotabase
Andrew Jesson | Researcher Profile | Sotabase | Sotabase