Sotabase

Career

· Computer Science and Business, University of California, Berkeley2026–
· Founder, Bellman (YC F25)2025–
· Intern, Databricks2025–2025
· Research Scientist, Mercor2025–2025
· Founder, Rovr (YC F25)2025–
· Intern, Amazon2024–2024
· Intern, AMD2024–2025
· Research, Berkeley RISE Lab2024–2025
· SDE Intern, Cue Health2023–2023
· Intern, Black Sheep Foods2022–2023
· Research Intern, Stanford University2021–2021
· Researcher @ Bionic Vision Lab, UC Santa Barbara2021–2021

Publications (31)

The SunPy Project: Open Source Development and Status of the Version 1.0 Core Package
Astrophysical Journal · 2020
317
cited
Peekaboo: Interactive Video Generation via Masked-Diffusion
Computer Vision and Pattern Recognition · 2023
61
cited
SunPy: A Python package for Solar Physics
Journal of Open Source Software · 2020
38
cited
DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets
Neural Information Processing Systems · 2023
30
cited
RFID Tattoo
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · 2019
29
cited
Leveraging artificial intelligence to improve people’s planning strategies
Proceedings of the National Academy of Sciences of the United States of America · 2022
28
cited
Exploring Causes of Crane Accidents from Incident Reports Using Decision Tree
Information and Communication Technology for Intelligent Systems · 2018
15
cited
A computational process-tracing method for measuring people’s planning strategies and how they change over time
Behavior Research Methods · 2022
13
cited
Measuring how people learn how to plan
Annual Meeting of the Cognitive Science Society · 2019
10
cited
How do people learn how to plan?
2019 Conference on Cognitive Computational Neuroscience · 2019
9
cited
Measuring and modelling how people learn how to plan and how people adapt their planning strategies to the structure of the environment
2021
8
cited
Leveraging Machine Learning to Automatically Derive Robust Planning Strategies from Biased Models of the Environment
Annual Meeting of the Cognitive Science Society · 2020
7
cited
Test-time Prompt Refinement for Text-to-Image Models
arXiv.org · 2025
6
cited
Understanding Depth and Height Perception in Large Visual-Language Models
2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 2024
6
cited
Consumer Behaviour Towards Online Shopping
International Journal of Management Studies · 2019
4
cited
Have I done enough planning or should I plan more?
arXiv.org · 2022
3
cited
Leveraging Machine Learning to Automatically Derive Robust Decision Strategies from Imperfect Knowledge of the Real World
Computational Brain & Behavior · 2022
3
cited
Android Malware Analysis Using Machine Learning Classifiers
Algorithms for Intelligent Systems · 2021
2
cited
RiTTA: Modeling Event Relations in Text-to-Audio Generation
Conference on Empirical Methods in Natural Language Processing · 2025
2
cited
Automatic discovery and description of human planning strategies
Behavior Research Methods · 2021
1
cited
Sotabase
Yash Jain | Researcher Profile | Sotabase | Sotabase