Sotabase

Career

· Co-founder, Vals AI2022–
· Lumen Energy
· Microsoft
· Founder/Leader, Operation Sustain
· Intern, Palantir Technologies
· SAP Concur
· Schools Under 2 Degrees C
· Research Assistant, Stanford University
· University of Washington
· Intern, Valar Labs

Publications (10)

Self-supervised learning in medicine and healthcare
Nature Biomedical Engineering · 2022
513
cited
Evaluating progress in automatic chest X-ray radiology report generation
medRxiv · 2022
183
cited
Retrieval-Based Chest X-Ray Report Generation Using a Pre-trained Contrastive Language-Image Model
ML4H@NeurIPS · 2021
106
cited
Using LSTM and SARIMA Models to Forecast Cluster CPU Usage
arXiv.org · 2020
23
cited
CheXphoto: 10, 000+ Photos and Transformations of Chest X-rays for Benchmarking Deep Learning Robustness
ML4H@NeurIPS · 2020
19
cited
CheXphoto: 10, 000+ Smartphone Photos and Synthetic Photographic Transformations of Chest X-rays for Benchmarking Deep Learning Robustness
arXiv.org · 2020
13
cited
Finance Agent Benchmark: Benchmarking LLMs on Real-world Financial Research Tasks
arXiv.org · 2025
11
cited
CheXbreak: Misclassification Identification for Deep Learning Models Interpreting Chest X-rays
Machine Learning in Health Care · 2021
2
cited
43/#512 Assessing robustness of an artificial intelligence derived histological biomarker across different sites of disease and in serial sections in tubo-ovarian high-grade serous carcinoma
Featured Printed Posters (Poster Rounds with the Professors) · 2022
44/#219 Predicting response to platinum-based chemotherapy for tubo-ovarian high-grade serous carcinoma using an artificial intelligence histopathology platform
Featured Printed Posters (Poster Rounds with the Professors) · 2022
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Rayan Krishnan | Researcher Profile | Sotabase | Sotabase