Kevin Zhou

AI Researcher

United States3 yrs 3 mos experience

Most Likely To Switch

Key Highlights

Published research on language models at EMNLP 2025.
Contributed to NeurIPS 2023 with reinforcement learning research.
Experienced in data engineering and machine learning.

Stackforce AI infers this person is a Machine Learning and Data Engineering expert in the Academic and Tech industries.

Contact

kevinzhou497@gmail.com LinkedIn

Skills

Core Skills

Large Language Models (llm)Uncertainty QuantificationData EngineeringPython (programming Language)Reinforcement LearningMachine LearningJavaData Streams

Other Skills

Academic PublishingApache FlinkC++Data ScienceData VisualizationDeep LearningGitHTMLHugging FaceJavaScriptProgramming LanguagesPyTorchReact NativeSQLScaling Laws

Experience

Abridge

Machine Learning Scientist

Oct 2025 – Present · 5 mos · San Francisco, California, United States

Imperial college london

Graduate Researcher

Oct 2024 – Present · 1 yr 5 mos

Researching language model pre-training and data mixing methods with Prof. Marek Rei and Dr. Kris Cao
Researching uncertainty quantification in argumentative LLMs with Prof. Francesca Toni, with a paper accepted to EMNLP Findings 2025.

Hugging FaceLarge Language Models (LLM)PyTorchScaling LawsUncertainty Quantification

Maven securities

2 roles

Trading Analyst

Dec 2023 – Sep 2024 · 9 mos

Data EngineeringPython (Programming Language)SQLSoftware Deployment

Graduate Trader

Aug 2023 – Dec 2023 · 4 mos

Cornell university

Undergraduate Researcher

Mar 2023 – May 2023 · 2 mos

Paper: "The Benefits of Being Distributional: Small-Loss Bounds for Reinforcement Learning"
Neural Information Processing Systems (NeurIPS) 2023, https://arxiv.org/abs/2305.15703
Distributional reinforcement learning research with Professors Wen Sun and Nathan Kallus

Academic PublishingPyTorchReinforcement LearningMachine Learning