Sotabase

Career

· Research Scientist, OpenAI2022–
· Quantitative Research Intern, Citadel Securities2020–2020
· Research Intern, Google Brain2019–2019
· Research Intern, DeepMind for Google2018–2018
· Research Intern, Adobe Research2017–2018
· Doctor of Philosophy - PhD, Computer Science, Stanford University2017–2022
· Graduate Student, Stanford University2016–2018
· Data Scientist Intern, Fliptop (acquired by LinkedIn)2015–2015
· Master's Degree, Biomedical Informatics, Stanford University2015–2017
· Bachelor of Arts, Chemistry, Dartmouth College2011–2014

Publications (210)

A DIRT-T Approach to Unsupervised Domain Adaptation
International Conference on Learning Representations · 2018
656
cited
Constructing Unrestricted Adversarial Examples with Generative Models
Neural Information Processing Systems · 2018
342
cited
Fair Generative Modeling via Weak Supervision
International Conference on Machine Learning · 2019
155
cited
Weakly Supervised Disentanglement with Guarantees
International Conference on Learning Representations · 2019
147
cited
Mg3+δSbxBi2−x Family: A Promising Substitute for the State‐of‐the‐Art n‐Type Thermoelectric Materials near Room Temperature
Advanced Functional Materials · 2018
108
cited
Robust Locally-Linear Controllable Embedding
International Conference on Artificial Intelligence and Statistics · 2017
99
cited
Amortized Inference Regularization
Neural Information Processing Systems · 2018
87
cited
Mussel-inspired Fe-based Tannic acid Nanozyme: A renewable bioresource-derived high-affinity signal tag for dual-readout multiplex lateral flow immunoassay
Chemical Engineering Journal · 2022
75
cited
Recent researches of the bio-inspired nano-carbon reinforced metal matrix composites
2020
75
cited
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows
AAAI Conference on Artificial Intelligence · 2019
71
cited
Evaluation of the Multidimensional Enhanced Lateral Flow Immunoassay in Point-of-Care Nanosensors.
ACS Nano · 2024
68
cited
Temporal Predictive Coding For Model-Based Planning In Latent Space
International Conference on Machine Learning · 2021
62
cited
Nature-inspired nanozymes as signal markers for in-situ signal amplification strategy: A portable dual-colorimetric immunochromatographic analysis based on smartphone.
Biosensors & bioelectronics · 2022
58
cited
Microstructure and mechanical, electrical, and electrochemical properties of sputter-deposited multicomponent (TiNbZrTa)Nx coatings
Surface & Coatings Technology · 2020
56
cited
Engineered Core-Shell Multifunctional Nano-Tracer in Raman-Silent Region with Highly Retained Affinity to Enhance Lateral Flow Immunoassays.
Small · 2022
54
cited
"From food waste to food supervision"-Cuttlefish Ink Natural Nanoparticles-Driven Dual-mode Lateral Flow Immunoassay for Advancing Point-of-Care Tests.
Biosensors & bioelectronics · 2022
53
cited
Fabrication and mechanical properties of MWCNTs and graphene synergetically reinforced Cu–graphite matrix composites
Powder Technology · 2019
48
cited
Effects of ion irradiation on chromium coatings of various thicknesses on a zirconium alloy
2019
46
cited
OpenAI GPT-5 System Card
2025
46
cited
Microstructures and mechanical properties of Al-Si alloy nanocomposites hybrid reinforced with nano-carbon and in-situ Al2O3
Journal of Alloys and Compounds · 2019
41
cited
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