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Career

· Research Engineer, Harmonic2025–
· Quantitative Researcher, Jump Trading LLC2022–2025
· Research Assistant, Stanford University2022–2022
· Quantitative Research Intern, Jump Trading LLC2021–2021
· Master of Science - MS, Computer Science, Stanford University2021–2022
· Applied Research Scientist Intern, Ambient.ai2020–2020
· Software Engineering Intern, Facebook2019–2019
· Student Researcher - Stanford AI Lab, Stanford Artificial Intelligence Laboratory (SAIL)2019–2020
· Bachelor of Science - BS, Mathematics (with distinction), Stanford University2018–2022
· CS 106 Section Leader, Stanford University2018–2019

Publications (0)

MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models
International Conference on Medical Imaging with Deep Learning · 2020
164
cited
MoCo-CXR: MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models
2020
94
cited
Impact of Silver and Iron Nanoparticle Exposure on Cholesterol Uptake by Macrophages
Journal of nanomaterials · 2017
33
cited
Nasopharyngeal metabolomics and machine learning approach for the diagnosis of influenza
EBioMedicine · 2021
30
cited
Neural, Neural Everywhere: Controlled Generation Meets Scaffolded, Structured Dialogue ∗
2021
14
cited
Aristotle: IMO-level Automated Theorem Proving
arXiv.org · 2025
11
cited
Neural Generation Meets Real People: Building a Social, Informative Open-Domain Dialogue Agent
SIGDIAL Conferences · 2022
7
cited
A dynamic pricing model for carbon-aware compute clusters
International Journal of Revenue Management · 2023
Application of Auction Theory in Cloud Computing and Renewable Energy
IEEE International Conference on Cloud Computing · 2023
Machine Learning for Statistical Arbitrage: Using News Media to Predict Currency Exchange Rates
2019
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