Work & Research Experience

Decomposing d3.js: Behavior-Driven Testing of Big Data Exploration Tools

Graduate researcher, University of Washington (Jan 2024 - present)

Collaborator: Professor Leilani Battle, Paul G. Allen School of Computer Science & Engineering

• Designed a collection of 50 D3 visualization introduction tutorials using various climate change datasets

• Train machine learning models and/or LLMs to generate customized learning content for D3 users

Electric Vehicle (EV) Charging Demand Prediction

Graduate researcher, University of Washington (Nov 2023 - Present)

Collaborator: Mayuree Binjolkar, Research Scientist, Meli Technology

• Developed probabilistic daily forecast models to predict electric vehicle (EV) charging demand including a graph neural network (GNN), DeepAR, long short term memory model (LSTM), convolutional network (CNN) hosted on AWS Sagemaker

Systems and Modeling for Accelerated Research in Transportation Project

Research Assistant Lead, University of Washington (Nov 2020 - May 2022)

Sponsor: Argonne National Lab, US Dept. of Energy

• Designed blocked factorial experiments and deployed an online survey application collecting major
  ridehailing driver behaviors on AWS

• Explored prospective effects of trip-level characteristics on autonomous vehicle ownership choices in the US by developing an integrated choice and latent variable (ICLV) modeling framework

• Investigated the impacts of trip features on ride-hailing drivers' response to trip requests using a generalized additive mixed model (GAMM)

• Jointly modeled ride-hailing drivers’ working time and relocation preferences by developing a mixed logit discrete choice model framework

Promises of Data from Emerging Technologies for Transportation Applications

Research Assistant, University of Washington (Sep 2019 - Aug 2020)

Sponsor: US Federal Highway Administration

• Processed over 700 million rows of individual trajectory records from over 460k mobile phone users of Puget Sound region.

• Investigating the causal relationship between spatial/temporal properties of mobile phone trajectory big data and derived human mobility patterns.

• Investigated big data quality issues of both passively and actively solicited data during data collection, processing, and analysis.

Examining Health Impacts of Built-Environment in China's Transit Metropolis: A Physical Activity Perspective

Research Assistant, Peking University (Jan 2017 - Aug 2018)

Sponsor: National Natural Science Foundation of China

• Investigated the relationship between the use of public open spaces and built environment factors, time-varying factors, and socio-demographics using a Generalized Linear Mixed Model (GLMM) model

Promoting Built Environment Quality for Cycling Using Dockless Public Bike Data

Research assistant, Peking University (2017)

Sponsor: National Natural Science Foundation of China

• Investigated the relationship between dockless bike usage and the built environment in Shanghai using a Generalized Additive Mixed Model (GAMM)

HCI 510 Design Interactive Systems

Graduate TA, University of Washington (Spring 2024)

Instructor: Professor Ana Pinto da Silva, Human Computer Interaction + Design

• Co-designed course contents, graded student assignments and assisted class activities

• Gave a guest lecture on “Power of Data Visualization”

CSE 442/412 Data Visualization

Graduate TA, University of Washington (Fall 2022 - Winter 2023)

Instructors: Prof Leilani Battle, Jon Froehlich, Tal Wolman, School of Computer Science & Engineering

• Co-taught lecture “d3.js deep dive“

• Led weekly tutorial sessions

• Led grading/host office hours

CEE 498 Machine learning

Graduate TA, University of Washington (Spring 2020)

Instructor: Professor Cynthia Chen, Civil and Environmental Engineering

• Designed 4 “Python tutorial” Google Colab notebooks, 4 homework assignments, and 3 course projects

• Gave 2 Python tutorial lectures

Teaching Experience