Sotabase

Career

· Co-founder/AI, Rox2024–
· ML Engineering Intern, Predibase2021–2021
· Doctoral Candidate, Stanford University2021–
· Doctor of Philosophy - PhD, Computer Science, Stanford University2021–
· Intern, Sequoia Capital2020–2020
· Intern, Palo Alto Networks2019–2019
· Product Research Intern, Genies, Inc.2017–2017
· Bachelor of Science - BS with Honors, Computer Science, Stanford University2017–2021
· Research Intern, Stanford University School of Medicine2015–2016
· Intern, Altair2014–2014
· Intern, Swarm Fund2014–2016
· High School Diploma, Palo Alto High School

Publications (24)

Proceedings of the VLDB Endowment · 2022
290
cited
International Conference on Learning Representations · 2022
256
cited
58
cited
Proceedings of the VLDB Endowment · 2024
20
cited
16
cited
Neural, Neural Everywhere: Controlled Generation Meets Scaffolded, Structured Dialogue ∗
2021
14
cited
12
cited
11
cited
Applying Transformer-based Sequence Modeling to ECG Data
2021
DAMsL: A meta-learning based approach for dialogue state tracking
2020
Elastic Weight Consolidation for Reduction of Catastrophic Forgetting in GPT-2
2022
Sotabase
Avanika Narayan | Researcher Profile | Sotabase | Sotabase