Dali Guo - Applied Scientist

Dali Guo

Applied Scientist at Amazon

Specializing in Machine Learning, Network Science, and Brain Dynamics

About Me

I am an Applied Scientist at Amazon, where I work on optimizing customers' payment experience through machine learning methods. My research interests span across generative models and biological materials for non-invasive devices.

I completed my PhD in Industrial Engineering at Purdue University in 2020, focusing on "Modeling and Variability Estimation of Network Collections". My work combines theoretical insights with practical applications in machine learning and network science.

Research Areas

Delivery Experience

Enhancing delivery experience through advanced machine learning techniques for efficient and reliable package delivery.

Payment Experience

Optimizing payment experience using machine learning, including recommender systems and generative models.

Complex Network

Using network science to characterize, conceptualize, and predict real-life complex systems.

Brain Dynamics

Understanding continuous brain states and features through dynamical methods and models.

Featured Projects

Payment Optimization System

Led development of ML models to optimize customer payment experience, improving transaction success rates and reducing friction in the checkout process.

Machine Learning Recommender Systems AWS

Network Variability Framework

Developed novel methods for modeling and estimating variability in network collections, with applications to brain connectivity analysis.

Network Science Statistical Modeling Python

Brain Dynamics Modeling

Created dynamic generative models to understand human brain resting-state networks, contributing to neuroscience research.

Neuroscience Generative Models fMRI Analysis

Publications

Journals

  • Examining the variability in network populations and its role in generative models
    Viplove Arora, Dali Guo, Katherine D. Dunbar, Mario Ventresca
    International Conference on Complex Networks and their Applications, 1271-1283, 2020

Conference Proceedings

  • Dynamic Generative Model of the Human Brain in Resting-State
    Dali Guo, Viplove Arora, Enrico Amico, Joaquín Goñi, Mario Ventresca
    Network Science, 1-22, 2017

Education

Doctor of Philosophy

Purdue University, West Lafayette, IN, USA

Industrial Engineering - GPA 3.81/4.00

Completed: December 2020

Thesis Advisor: Mario Ventresca

Bachelor of Management

Nankai University, Tianjin, China

Logistics Management - GPA 91.7/100

Completed: May 2015

Thesis Advisor: Jinglei Yang

Contact

Email: me (at) daliguo.com

Location: Amazon Bingo (SEA94), 333 108th Ave NE, Bellevue, WA 98004