Erica Zhang

AI Researcher

Stanford, California, United States3 yrs 2 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Developed a multi-agent framework for decision-making.
Published research papers on arxiv.
Recognized by leadership for innovative AI solutions.

Stackforce AI infers this person is a skilled AI researcher with a focus on decision-making frameworks and statistical guarantees.

Contact

Skills

Core Skills

Applied ScienceAi Development

Other Skills

multi-agent frameworkdecision-makingsimulationprototypescience paperpatent filingsLaTeXR codePythonJava

About

For timely updates, please visit my website: https://ericavanee.github.io/. Feel free to reach out if you are interested in my research! My current focus is bridging foundation models with statistical guarantees, designing robust, interpretable, and provably safe LLM-integrated learning and Agentic systems.

Experience

3 yrs 2 mos

Total Experience

1 yr 6 mos

Average Tenure

Current Experience

Amazon

Applied Scientist

Jun 2025 – Sep 2025 · 3 mos · Bellevue, Washington, United States · On-site

Agentic-AI @ Amazon Science.
Built a multi-agent framework for complex decision-making end-to-end (conception → simulation → prototype).
Delivered a science paper and a working prototype demo recognized by senior leadership and advanced toward pilot testing & potential productization.
Patent filings and internal/external publications underway.

multi-agent frameworkdecision-makingsimulationprototypescience paperpatent filings+2

Stanford university

Doctorate Research

Sep 2023 – Sep 2025 · 2 yrs

Advised by Prof. Jose Blanchet (MS&E) and Prof. Mert Pilanci (EE). Supported by Koret Foundation.

Columbia university

2 roles

Operations Research

Oct 2022 – May 2023 · 7 mos

Research Assistant to Professor Agostino Capponi on quasi-maximum likelihood estimation of spatial dynamic panel data; robo-advisor for goal-based wealth management with stochastic deadlines.

Statistics

Mar 2022 – May 2023 · 1 yr 2 mos

Research in statistical optimal transport applied in mathematical finance. Mentored by Professor Johannes Wiesel, Columbia University. Paper available on arxiv: https://arxiv.org/abs/2207.01235

Jane street

Jane Street SEE Quantitative Trader Track

May 2021 – Jun 2021 · 1 mo

Quantitative trading division.

Citi

Citi Women’s Mentorship Program

Apr 2021 – May 2021 · 1 mo

Sales and Trading.

The d. e. shaw group

Nexus Fellowship Recipient

Mar 2021 – Apr 2021 · 1 mo

Selected as one of 40 students across the country to participate in all-expenses paid fellowship program at D.E. Shaw's NYC headquarters to learn about the intersection of finance and technology.

Yale university

REU Summer Mathematics Undegraduate Research Assistant

Jun 2020 – Aug 2020 · 2 mos · New Haven County, Connecticut, United States

Published paper on arxiv: https://arxiv.org/abs/2104.09451
Worked on combinatorics and graph theory with application in theoretical computer science.
Collaborated in research, “Explorer-Director Game,” under mentorship of Professor Pat Devlin, Gibbs Assistant Professor of Mathematics at Yale, Doctor Abigail Raz, Postdoctoral Faculty Fellow at University of Nebraska - Lincoln, and Doctor Erin Meger, Postdoctoral Fellow at Mount Allison University.
Made progress to the existing literature by developing gaming strategies in various other types of graphs beyond cycle graphs, researching for other game variants, and developing theorems and schemes that help further generalize the problem.
Presented findings at Polymath REU conference.

Bowery capital

VC Investment Analyst

Jun 2020 – Aug 2020 · 2 mos · New York, United States

Conducted investment analysis for four industries (Education, Insurance, Energy&Utilities, AEC) to offer insights into overall industrial trends and source potential software vertical startups that for investment. Compiled research into presentations, presented findings for company executives, and contributed to Bowery Capital’s v4.0 “Opportunities in Vertical Software” report in 2020, which provides investors with market insights and helps Bowery Capital build their brand. With outstanding internship completion.