Sotabase

Career

· PhD Student In Computer Science, Stanford University2020–
· Master of Science - MS, Computer Science, Stanford University2017–2019
· Bachelor of Science - BS, Computer Science, Stanford University2014–2018
· Doctor of Philosophy - PhD, Computer Science, Stanford University

Publications (22)

Domino: Discovering Systematic Errors with Cross-Modal Embeddings
International Conference on Learning Representations · 2022
172
cited
Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes
Proceedings of the VLDB Endowment · 2023
137
cited
DataPerf: Benchmarks for Data-Centric AI Development
Neural Information Processing Systems · 2022
129
cited
Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture
Neural Information Processing Systems · 2023
67
cited
ViLMedic: a framework for research at the intersection of vision and language in medical AI
Annual Meeting of the Association for Computational Linguistics · 2022
52
cited
dcbench: a benchmark for data-centric AI systems
DEEM@SIGMOD · 2022
23
cited
Cartridges: Lightweight and general-purpose long context representations via self-study
arXiv.org · 2025
18
cited
Minions: Cost-efficient Collaboration Between On-device and Cloud Language Models
International Conference on Machine Learning · 2025
12
cited
HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions
Neural Information Processing Systems · 2022
9
cited
Mutual interactors as a principle for phenotype discovery in molecular interaction networks.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2022
5
cited
OncoNet: Weakly Supervised Siamese Network to automate cancer treatment response assessment between longitudinal FDG PET/CT examinations
arXiv.org · 2021
4
cited
HAPI Explorer: Comprehension, Discovery, and Explanation on History of ML APIs
AAAI Conference on Artificial Intelligence · 2023
1
cited
Adaptive Rank Allocation: Speeding Up Modern Transformers with RaNA Adapters
2025
Constructing Efficient Fact-Storing MLPs for Transformers
2025
Counting Clinical Trials: New Evidence on Pharmaceutical Sector Productivity
2024
Disease Protein Prediction : A Machine Learning Approach
2017
Just read twice: closing the recall gap for recurrent language models
2024
Model ChangeLists: Characterizing Updates to ML Models
2024
Multi-task weak supervision enables anatomically-resolved abnormality detection in whole-body FDG-PET/CT
2021
Simple linear attention language models balance the recall-throughput tradeoff
2024
Sotabase