Sotabase

Career

· Research Scientist, Apple2022–
· Research Intern, Google2020–2020
· Greylock X Fellow, Greylock Partners2020–2020
· Lecturer for CS229 (Machine Learning Course), Stanford University2019–2022
· MS in Computer Science, Stanford University2019–
· MS in Statistics, Stanford University2019–
· PhD in Computer Science, Stanford University2015–2022
· PhD Student, Stanford University2015–2022
· Distinguished Engineer, Red Hat CTO Office2014–2015
· Senior Principal Software Engineer, Red Hat2012–2014
· Founding Engineer & Architect, Gluster (acquired by Red Hat)2005–2012
· Software Engineer, NetDevices (acquired by Alcatel-Lucent)2004–2005
· BE in Computer Science & Engineering, Sri Jayachamarajendra College of Engineering2000–2004

Publications (0)

NGBoost: Natural Gradient Boosting for Probabilistic Prediction
International Conference on Machine Learning · 2019
398
cited
Improving palliative care with deep learning
IEEE International Conference on Bioinformatics and Biomedicine · 2017
396
cited
Neural Language Correction with Character-Based Attention
arXiv.org · 2016
147
cited
Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands
2021
83
cited
Ambulatory Atrial Fibrillation Monitoring Using Wearable Photoplethysmography with Deep Learning
Knowledge Discovery and Data Mining · 2018
73
cited
A framework for making predictive models useful in practice
medRxiv · 2020
65
cited
Countdown Regression: Sharp and Calibrated Survival Predictions
Conference on Uncertainty in Artificial Intelligence · 2018
61
cited
Automated and flexible identification of complex disease: building a model for systemic lupus erythematosus using noisy labeling
J. Am. Medical Informatics Assoc. · 2018
36
cited
CRUDE: Calibrating Regression Uncertainty Distributions Empirically
2020
15
cited
Improving Hospital Readmission Prediction using Individualized Utility Analysis
medRxiv · 2020
14
cited
BEDS-Bench: Behavior of EHR-models under Distributional Shift-A Benchmark
arXiv.org · 2021
11
cited
Predicting Inpatient Discharge Prioritization With Electronic Health Records
arXiv.org · 2018
5
cited
Robust and Effective Grammatical Error Correction with Simple Cycle Self-Augmenting
2021
1
cited
2 . 1 Bias Variance Tradeoff in Linear Regression
2019
AI-enabled palliative care : from algorithms to clinical deployment
2022
Capturing Heterogeneity in Complex Chronic Illness: Building a Model for Systemic Lupus Erythematosus (SLE) with "Noisy Labeling" of Data
American Medical Informatics Association Annual Symposium · 2018
CS229 Lecture Notes
2020
Fast Tree-Structured Recursive Neural Tensor Networks
2015
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