Hello,
I'm ZiWei Guo

Computer Scientist & Mathematician

I have a strong foundation in Large Language Models, machine learning, operations research, and data science. My analytical skills and experience enable me to solve complex problems and drive data-driven decisions. I'm passionate about Web3, blockchain, and cryptocurrency, exploring their intersections with AI to drive innovative, decentralized solutions and push the boundaries of the next digital era.

Beyond the binary and bytes, I'm a tenor who sings opera in both church and college choirs, and I've been playing guitar for over a decade. Whether I'm decoding data or belting out a high C, I'm all about creating something extraordinary!

AI & ML
Data Science
Operations Research
Blockchain
Ziwei Guo

Education

Academic journey and coursework

Vanderbilt University
Vanderbilt University

M.S. in Computer Science

Sep. 2024 - May 2026Nashville, TN
Courses

Artificial Intelligence

CS 5260

Foundations of Machine Learning

CS 5262

Network Analysis In Healthcare

CS 5891

Software Engineering In The Agentic AI

CS 8395

AI for Cyber-Physical Systems

CS 8395

Distributed Systems Principles

CS 6381

Principle of Software Engineering

CS 4278

Dickinson College
Dickinson College

B.S. in Mathematics & Data Analytics with Music Minor

Sep. 2020 - May 2024Carlisle, PA
Courses

Topology

MATH 481

Abstract Algebra

MATH 351

Real Analysis

MATH 361

Operation Research

MATH 331

Integration & Infinite Series

MATH 270

Computational Mathematics

MATH 241

Probability and Statistics 1&2

MATH 235 & 325

Single & Multivariable Calculus

MATH 170 & 171

Data Analytics Capstone

DATA 400

Statistical And Machine Learning

DATA 300

Database System and Data Management

DATA 200

Philosophy of Data

DATA 198

Key to Music 1 & 2

MUAC 115 & 125

College Choir of 2 Semesters

MUEN 009

Guitar Class of 3 Semesters

MUPS 111

Voice of 4 Semesters

MUPS 113 & 114 & 115 & 116

Professional Experience

A timeline of my internship experiences and achievements

MAHAYANA LTD

Private Equity Analyst

Shanghai, ChinaMay 2024 - Aug 2024

Evaluated high-potential startups in healthcare, pharmaceuticals, and manufacturing by conducting comprehensive industry research and analysis. Led expert interviews to gather market insights and supported investment decisions through the preparation of detailed reports. Contributed to investment recommendations with data-driven analysis, aiding in strategic decision-making for potential acquisitions and partnerships.

MAHAYANA LTD workspace
Soulmountain & Co

Computer Engineering Intern

Shanghai, ChinaMay 2023 - Aug 2023

Developed a Bluetooth-enabled digital stethoscope using an ESP8266 microcontroller, significantly improving heart sound amplification and real-time health monitoring. Designed and implemented IoT infrastructure with MicroPython to connect health devices to mobile applications, and contributed to AI-driven cardiac and pulmonary diagnostic tools.

Soulmountain & Co workspace
YonYou

Database Manager

GuangZhouMay 2022 - Aug 2022

Created and managed a database system for patient records at The First Affiliated Hospital, Sun Yat-sen University. Developed over 300 SQL functions to facilitate the extraction of operational data and generated actionable insights through customized SQL queries. Produced comprehensive graphical reports that informed hospital management decisions.

YonYou workspace
Wellington College International Shanghai

Data Analyst, Intern

ShanghaiMay 2021 - Aug 2021

Designed an interactive web-based college brochure site that visualized air quality zones using HTML, JavaScript, and CSS. Leveraged data visualization to analyze and present real-time relationships between air quality and key indicators such as weather, traffic, and pollution, contributing to environmental awareness efforts.

Wellington College International Shanghai workspace
MESOOR AI

Python Developer, Intern

ShanghaiFeb 2021 - May 2021

Worked as part of a 30-person development team for the ZhaoHu platform, focusing on building statistical models to evaluate resume quality. Utilized natural language processing techniques, including TF-IDF, sentiment analysis, and named entity recognition, to develop NLP models for prompt extraction and enhanced platform intelligence.

MESOOR AI workspace

Portfolio

Showcasing my projects and achievements

OTTO Multi-Objective Recommender System
kaggleJanuary - May 2023

OTTO Multi-Objective Recommender System

In the OTTO Multi-Objective Product Recommendation competition, I played a key role in securing a silver medal, placing our team in the top 2% globally, with a ranking of 66th out of 2,574 teams. The competition required predicting user actions—clicks, favorites, and purchases—over a seven-day window based on historical user data. Our approach was multifaceted, starting with dynamically shortlisting product candidates using diverse recall methods, including top historically clicked/favorited/purchased items, as well as product similarities derived from Word2Vec models and co-occurrence matrices. This step effectively reduced the candidate pool to the top 200 most probable items. To refine predictions, we engineered a rich feature set encompassing product-specific, user-centric, and product-user interaction features, using both recent (one-week) and longer-term (four-week) behavioral data. We then employed an LGB binary classification model to generate final recommendations, selecting the top 20 product IDs based on predicted probabilities. This method delivered a leaderboard score of 0.585, securing our place in the top 2% of participants worldwide.

PythonMachine LearningRecommender SystemsDeep Learning
G2Net Gravitational Waves Detection
kaggleJanuary 2023

G2Net Gravitational Waves Detection

In the G2Net Continuous Gravitational Waves Detection competition, I contributed to a team that earned a silver medal, securing 26th place among 936 teams—positioning us in the top 2%. The challenge was to detect faint, continuous gravitational wave signals from rapidly rotating neutron stars in cosmic image data, with performance evaluated using the AUC metric. Our approach relied on deep learning techniques, where we extracted image files from HDF5 datasets and developed models using EfficientNet0 and InceptionV4 architectures. We optimized model training with a binary loss function and the Adam optimizer, leveraging hyperparameter tuning with Optuna for further improvement. To enhance model robustness, we applied data augmentation strategies such as flipping, cutmix, and mixup. Finally, we combined the predictions using a linear-weighted ensemble of EfficientNet0 and InceptionV4, achieving public and private scores of 0.76x and securing our position in the top 2% of the competition.

PythonSignal ProcessingDeep LearningData Analysis
RSNA Breast Cancer Detection
kaggleMay 2023

RSNA Breast Cancer Detection

In the Kaggle RSNA competition on breast cancer diagnostics, I led the development of a robust solution for a challenging binary classification task involving CT imaging data. I utilized NVIDIA's DALI framework to significantly accelerate preprocessing, transforming raw scans into structured image formats efficiently. I applied advanced edge-detection algorithms to isolate breast regions, reducing noise and improving data quality. Leveraging the ConvNetV2 architecture, I optimized model performance with a comprehensive data augmentation strategy, including techniques like image rotation, brightness adjustments, and adaptive cropping. I further enhanced model training by employing the AdamW optimizer alongside Stochastic Weight Averaging (SWA) and implemented a rigorous five-fold cross-validation to ensure model reliability. These efforts culminated in a high-performing ensemble model, fine-tuned with pF1 probability thresholding, resulting in a bronze medal and a ranking of 110th out of 1,687 participants—placing me in the top 6% of competitors globally.

Computer VisionMedical ImagingDeep LearningPython
Distributed Pub/Sub Middleware with ZeroMQ & ZooKeeper
projectJan 2025 - May 2025

Distributed Pub/Sub Middleware with ZeroMQ & ZooKeeper

Designed a custom publish-subscribe middleware layer using ZeroMQ and ZooKeeper, implementing hybrid dissemination strategies and fault tolerance mechanisms that improved system modularity by 25% and reduced message delivery latency by 30%.

PythonZeroMQZooKeeperDistributed SystemsFault ToleranceMininetPerformance Testing
Lost & Found Web Application
projectJan 2025 - Apr 2025

Lost & Found Web Application

Built a full-stack MERN application with location-based search using Google Maps API, secure image upload with Cloudinary, and robust JWT authentication, reducing manual lookup times by 20% and average search duration by 30%.

React.jsNode.jsExpressMongoDBGoogle Maps APIJWTCloudinaryVite
Network Analysis of Disease-Gene Associations
researchSep 2024 - Dec 2024

Network Analysis of Disease-Gene Associations

Conducted network-based analysis of disease-gene associations at Vanderbilt University, identifying key genes involved in disease pathogenesis and analyzing variations in gene connectivity across disease subtypes.

NetworkXPythonBioinformaticsNetwork AnalysisStatistical Modeling
High-Risk COVID-19 Patient Identification
projectFeb 2023 - May 2023

High-Risk COVID-19 Patient Identification

Developed ML models achieving 94.44% accuracy in identifying high-risk COVID-19 patients.

Machine LearningHealthcare AnalyticsPythonData Science
Water Consumption Analysis - Dickinson College
projectFeb 2023 - May 2023

Water Consumption Analysis - Dickinson College

Analyzed water consumption patterns among students, utilizing statistical methods to identify significant differences between lowerclassmen and upperclassmen.

RStatistical AnalysisData VisualizationHypothesis Testing
Austin Coffee Shop Analysis
project2023

Austin Coffee Shop Analysis

Analyzed 7,000+ Yelp reviews of 78 coffee shops using logistic regression and sentiment analysis to uncover customer preferences.

PythonNLPSentiment AnalysisStatistical Modeling
LLM-Driven Code Automation Research
research2023

LLM-Driven Code Automation Research

Research paper on improving code maintainability and performance through LLM-driven automation, focusing on complexity analysis and adaptive documentation.

LLMCode AnalysisSoftware EngineeringDocumentation

Academic Publications

Peer-reviewed research papers and scholarly contributions

Research on Big Data Analysis and Prediction System Based on Deep Learning

GUO, ZIWEI

Automation and Machine Learning2023

Optimal Control Design for Decoupling the Direct Drive Stability of Distributed Drive Electric Vehicles

Ziwei Guo

Transactions on Computational and Applied Mathematics2023

Improving Model-Free Control Algorithms Based on Data-Driven and Model-Driven Approaches: A Research Study

Guo, Z.; Yang, H.

Mathematics2024

Recommendations

Endorsements from academic and professional colleagues

Dick Forrester

Dick Forrester

Professor of Mathematics and Data Analytics

Expert in Operations Research and Data Analytics. Professor of Mathematics and Data Analytics since 2002.

Holley Friedlander

Holley Friedlander

Assistant Professor of Mathematics

Assistant Professor of Mathematics at Dickinson College since 2014. Ph.D. from University of Massachusetts-Amherst, 2013.

David Richeson

David Richeson

Professor of Mathematics

Author of Acclaimed Mathematical Books. Professor of Mathematics; John J. & Ann Curley Chair in the Liberal Arts since 2000.

Eren Bilen

Eren Bilen

Assistant Professor of Data Analytics

Assistant Professor of Data Analytics at Dickinson College since 2021. Ph.D. from University of South Carolina, 2021.

Robbie Hu

Robbie Hu

GP of MAHAYANA CAPITAL LLC

Owner of Soulmountain & Co. and Managing Partner at MAHAYANA CAPITAL.

Jim Hontz

Jim Hontz

Contributing Faculty in Music

Contributing Faculty in Music (guitar) since 1992. Past President of the Philadelphia Classical Guitar Society.

Dick Forrester

Dick Forrester

Professor of Mathematics and Data Analytics

Expert in Operations Research and Data Analytics. Professor of Mathematics and Data Analytics since 2002.

Holley Friedlander

Holley Friedlander

Assistant Professor of Mathematics

Assistant Professor of Mathematics at Dickinson College since 2014. Ph.D. from University of Massachusetts-Amherst, 2013.

David Richeson

David Richeson

Professor of Mathematics

Author of Acclaimed Mathematical Books. Professor of Mathematics; John J. & Ann Curley Chair in the Liberal Arts since 2000.

Eren Bilen

Eren Bilen

Assistant Professor of Data Analytics

Assistant Professor of Data Analytics at Dickinson College since 2021. Ph.D. from University of South Carolina, 2021.

Robbie Hu

Robbie Hu

GP of MAHAYANA CAPITAL LLC

Owner of Soulmountain & Co. and Managing Partner at MAHAYANA CAPITAL.

Jim Hontz

Jim Hontz

Contributing Faculty in Music

Contributing Faculty in Music (guitar) since 1992. Past President of the Philadelphia Classical Guitar Society.

Dick Forrester

Dick Forrester

Professor of Mathematics and Data Analytics

Expert in Operations Research and Data Analytics. Professor of Mathematics and Data Analytics since 2002.

Holley Friedlander

Holley Friedlander

Assistant Professor of Mathematics

Assistant Professor of Mathematics at Dickinson College since 2014. Ph.D. from University of Massachusetts-Amherst, 2013.

David Richeson

David Richeson

Professor of Mathematics

Author of Acclaimed Mathematical Books. Professor of Mathematics; John J. & Ann Curley Chair in the Liberal Arts since 2000.

Eren Bilen

Eren Bilen

Assistant Professor of Data Analytics

Assistant Professor of Data Analytics at Dickinson College since 2021. Ph.D. from University of South Carolina, 2021.

Robbie Hu

Robbie Hu

GP of MAHAYANA CAPITAL LLC

Owner of Soulmountain & Co. and Managing Partner at MAHAYANA CAPITAL.

Jim Hontz

Jim Hontz

Contributing Faculty in Music

Contributing Faculty in Music (guitar) since 1992. Past President of the Philadelphia Classical Guitar Society.

Dick Forrester

Dick Forrester

Professor of Mathematics and Data Analytics

Expert in Operations Research and Data Analytics. Professor of Mathematics and Data Analytics since 2002.

Holley Friedlander

Holley Friedlander

Assistant Professor of Mathematics

Assistant Professor of Mathematics at Dickinson College since 2014. Ph.D. from University of Massachusetts-Amherst, 2013.

David Richeson

David Richeson

Professor of Mathematics

Author of Acclaimed Mathematical Books. Professor of Mathematics; John J. & Ann Curley Chair in the Liberal Arts since 2000.

Eren Bilen

Eren Bilen

Assistant Professor of Data Analytics

Assistant Professor of Data Analytics at Dickinson College since 2021. Ph.D. from University of South Carolina, 2021.

Robbie Hu

Robbie Hu

GP of MAHAYANA CAPITAL LLC

Owner of Soulmountain & Co. and Managing Partner at MAHAYANA CAPITAL.

Jim Hontz

Jim Hontz

Contributing Faculty in Music

Contributing Faculty in Music (guitar) since 1992. Past President of the Philadelphia Classical Guitar Society.

Timothy Lupia

Timothy Lupia

Contributing Faculty in Music

Contributing Faculty in Music (voice) since 2019. Tenor and Vocal Instructor.

Robert Pound

Robert Pound

Professor of Music

Professor of Music since 1998. Director of the Dickinson Orchestra.

Jennifer Blyth

Jennifer Blyth

Professor at Dickinson College

Internationally Acclaimed Soloist and Chamber Musician.

Abu Thomas

Abu Thomas

Visiting Lecturer in Mathematics & Computer Science

Visiting Lecturer since 2022. Ph.D. from Tulane University, 2021.

Chauncey Maher

Chauncey Maher

Professor of Philosophy

Professor of Philosophy at Dickinson College since 2008. Ph.D. in Philosophy from Georgetown University. Author of 'The Pittsburgh School' and 'Plant Minds'.

Huogen Yang

Huogen Yang

Professor of Computer Science and Technology

Professor at Jiangxi University of Science and Technology.

Timothy Lupia

Timothy Lupia

Contributing Faculty in Music

Contributing Faculty in Music (voice) since 2019. Tenor and Vocal Instructor.

Robert Pound

Robert Pound

Professor of Music

Professor of Music since 1998. Director of the Dickinson Orchestra.

Jennifer Blyth

Jennifer Blyth

Professor at Dickinson College

Internationally Acclaimed Soloist and Chamber Musician.

Abu Thomas

Abu Thomas

Visiting Lecturer in Mathematics & Computer Science

Visiting Lecturer since 2022. Ph.D. from Tulane University, 2021.

Chauncey Maher

Chauncey Maher

Professor of Philosophy

Professor of Philosophy at Dickinson College since 2008. Ph.D. in Philosophy from Georgetown University. Author of 'The Pittsburgh School' and 'Plant Minds'.

Huogen Yang

Huogen Yang

Professor of Computer Science and Technology

Professor at Jiangxi University of Science and Technology.

Timothy Lupia

Timothy Lupia

Contributing Faculty in Music

Contributing Faculty in Music (voice) since 2019. Tenor and Vocal Instructor.

Robert Pound

Robert Pound

Professor of Music

Professor of Music since 1998. Director of the Dickinson Orchestra.

Jennifer Blyth

Jennifer Blyth

Professor at Dickinson College

Internationally Acclaimed Soloist and Chamber Musician.

Abu Thomas

Abu Thomas

Visiting Lecturer in Mathematics & Computer Science

Visiting Lecturer since 2022. Ph.D. from Tulane University, 2021.

Chauncey Maher

Chauncey Maher

Professor of Philosophy

Professor of Philosophy at Dickinson College since 2008. Ph.D. in Philosophy from Georgetown University. Author of 'The Pittsburgh School' and 'Plant Minds'.

Huogen Yang

Huogen Yang

Professor of Computer Science and Technology

Professor at Jiangxi University of Science and Technology.

Timothy Lupia

Timothy Lupia

Contributing Faculty in Music

Contributing Faculty in Music (voice) since 2019. Tenor and Vocal Instructor.

Robert Pound

Robert Pound

Professor of Music

Professor of Music since 1998. Director of the Dickinson Orchestra.

Jennifer Blyth

Jennifer Blyth

Professor at Dickinson College

Internationally Acclaimed Soloist and Chamber Musician.

Abu Thomas

Abu Thomas

Visiting Lecturer in Mathematics & Computer Science

Visiting Lecturer since 2022. Ph.D. from Tulane University, 2021.

Chauncey Maher

Chauncey Maher

Professor of Philosophy

Professor of Philosophy at Dickinson College since 2008. Ph.D. in Philosophy from Georgetown University. Author of 'The Pittsburgh School' and 'Plant Minds'.

Huogen Yang

Huogen Yang

Professor of Computer Science and Technology

Professor at Jiangxi University of Science and Technology.

Let's Connect

Get in Touch

Have a question or want to work together?

LinkedIn

Ziwei Guo

Location

Nashville, TN 37212