Sotabase

Career

· Teaching Assistant (CS 224N Natural Language Processing With Deep Learning), Stanford University2021–2021
· Senior Software Engineer, Waymo2021–
· Research Assistant, Stanford University2020–2021
· Teaching Assistant (CS 229 Machine Learning), Stanford University2020–2021
· Intern, Deloitte2017–2017
· IB Diploma, Higher Levels: Further Mathematics, Mathematics, Physics, Philosophy, Higher Level grades (out of 7): 7, 7, 7, 6, UWC South East Asia2011–2015

Publications (14)

CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT
Conference on Empirical Methods in Natural Language Processing · 2020
438
cited
VisualCheXbert: addressing the discrepancy between radiology report labels and image labels
ACM Conference on Health, Inference, and Learning · 2021
39
cited
DLBCL-Morph: Morphological features computed using deep learning for an annotated digital DLBCL image set
Scientific Data · 2020
33
cited
Effect of Radiology Report Labeler Quality on Deep Learning Models for Chest X-Ray Interpretation
arXiv.org · 2021
9
cited
MedSelect: Selective Labeling for Medical Image Classification Combining Meta-Learning with Deep Reinforcement Learning
arXiv.org · 2021
7
cited
MedSelect: Selective Labeling for Medical Image Classification Using Meta-Learning
International Conference on Medical Imaging with Deep Learning · 2022
5
cited
Analysis and Classification of Symbolic Western Classical Music by Composer
2019
3
cited
VisualCheXbert
Proceedings of the Conference on Health, Inference, and Learning
2
cited
BioXtract: Learning Biomedical Knowledge From General and Random Data
2021
Sotabase
Akshay Smit | Researcher Profile | Sotabase | Sotabase