# Bruce(Zhen) Lei

> Ph.D Candidate | ex-Amazon | Columbia Alumni

Location: New York, New York, United States
Profile: https://flows.cv/brucezhen

I am a graduate student majoring in Computer Science at Columbia University, School of Engineering and Applied Science.I got my Bachelor's Degree in Information Management and Information Systems from Nanjing Agricultural University in China.

Before coming to Columbia, I mainly focused on the field of Natural Language Processing.I have several projects which including building traditional Chinese books Knowledge Graph, applying Name Entity Recognition methods on full-text scholar papers, utilizing transfer learning working on sentiment analysis on scholar reviews.

After my graduation, I work as a research assistant in Deep Learning Lab at Westlake University with Dr. Zhenzhong Lan.I use the rasa framework to build a reservation chatbot.I have also explored how to employ Reinforcement Learning to enhance the ability of mental health chatbots.

## Work Experience
### Software Engineer @ Usage AI
Jan 2023 – Jan 2024 | New York, New York, United States

### Software Engineer @ Amazon
Jan 2022 – Jan 2023 | Irvine, California, United States

### Graduate Teaching Assistant @ Columbia University in the City of New York
Jan 2022 – Jan 2022 | New York City Metropolitan Area
COMS 4732 Computer Vision II - Prof. Carl Vondrick - Spring 2022

### Research Assistant @ Westlake University
Jan 2020 – Jan 2021 | 中国 浙江省
As a research assistant at Westlake University, I do both developing a system as well as do some researches.For the system, I using the rasa frameworks to build a reservation chatbot for clients to make reservations with mental therapists or talk to our AI chatbot.For the other, I employed machine learning techniques, especially reinforcement learning, to enhance the quality of generated text by our AI chatbot.

### Research Intern @ K2data
Jan 2019 – Jan 2019 | Beijing, China
Work as a research intern at K2data.

Key Achievements:
- Building a crawl to collect daily steel prices from the open-source website.With my system, more than 300 pieces of information on different websites become easily together.
- Use the LSTM model to make predictions for future steel prices, the accuracy of the testing data could achieve 83%.These prediction results made by my model could provide some help for the data analysis of field experts.


## Education
### Doctor of Philosophy in Computer Science
Florida State University

### Master's degree in Computer Science
Columbia University
Jan 2021 – Jan 2022

### Bachelor's degree in Information Management and Information System
Nanjing Agricultural University
Jan 2016 – Jan 2020


## Contact & Social
- LinkedIn: https://linkedin.com/in/zhenlei5

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Source: https://flows.cv/brucezhen
JSON Resume: https://flows.cv/brucezhen/resume.json
Last updated: 2026-03-22