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Ph.D., Artificial Intelligence & Computer Science

• Norman & Evelyn Wildish Distinguished Graduate Fellow [0.13% invitation rate]
• Outstanding Scholars Program
• Committee
  • Stefan Lee
  • Minsuk Kahng
  • Margaret Burnett
  • Weng-Keen Wong
  • Yelda Turkan

B.S./M.S., Computer Science

FairDeDup - Detecting and Mitigating Vision-Language Fairness Disparities in Semantic Dataset Deduplication

VALET - Vision-And-LanguagE Testing with Reusable Components

On the Behavior of Audio-Visual Fusion Architectures in Identity Verificaiton Tasks

VLSlice - Interactive Vision-and-Language Slice Discovery

Conditional Emulation of Global Precipitation With Generative Adversarial Networks

Fine-Grained Classroom Activity Detection from Audio with Neural Networks

Conditioned Emulation of Global Climate Models With Generative Adversarial Networks

Bias Discovery in Vision-and-Language Artificial Intelligence

• OSU Graduate Engineering Research Showcase
• Invited to OSU Spring Board of Directors Meeting
• Invited to ARCS Foundation Luncheon

Corruption Tolerant Audiovisual Embeddings for Person Verification

Fine-Grained Classroom Activity Detection

Few-Shot Image Segmentation Through Object Recognition

Machine Learning for Classroom Analysis

Graduate Fellow

• Evaluated common Vision and Language (ViL) model pruning and quantization techniques for induced fairness disparities
• Constructed dashboards to expose representational biases in ViL models trained on large web-crawled data
• Developed interactive ViL clustering algorithms to aid in the creation of semantically aligned subgroups

Research Intern

• Proposed a novel fair deduplication algorithm to mitigate subgroup disparities induced by dataset pruning
• Developed an interactive interface enabling users to rapidly develop behavioral tests for ViL models
• Coded expert judgments of model performance to determine generally expected model competencies
• Trained LAION-scale CLIP models distributed on 100+ GPUs

Post-Master's Research Associate

• Researched robust audiovisual fusion for person verification with varying modality corruptions
• Developed a differentiable rendering pipeline over PyTorch 3D for discovering natural adversarial examples
• Participated in STEM outreach with PNNL STEM Ambassadors as a public science communicator

Graduate Research Assistant

• Researched fine-grained classroom activity detection from audio
• Researched spatio-temporal generative adversarial Earth system model (ESM) emulation
• Investigated ImageNet error via iterative unsupervised clustering to expose low-performing subgroups

Research Intern, National Security Internship Program (NSIP)

• Researched few-shot object detection and segmentation for large scale image sort and summary
• Developed an algorithm to produce learned image attention masks for use in few-shot image classification
• Utilized Prototypical Nets, Feature Pyramid Nets (FPN), Single-Shot Object Detectors (SSD, YOLOv3, RetinaNet)

Graduate Teaching Assistant

• CS 567 Lab Studies in Software Engineering & HCI
• AI 434 Machine Learning & Data Mining

AI Marketing Engineering Intern

• Owned technical marketing research for Jarvis ConvAI framework to inform product positioning
• Performed hands-on analysis of SOTA ConvAI models in order to identify their strengths and weaknesses
• Surveyed literature of ConvAI technologies including 100+ NLU/NLP, ASR, and TTS papers, for key stakeholders

Graduate Teaching Assistant

• CS 597 Deep Learning
• CS 301 Formal Languages
• CS 241 Data Structures
• CS 141 Computer Programming I
• CS 102 Computer-Mediated Communications

Student Manager

• Organizing and running workshops on technologies such as Alexa skills, home automation, and Adobe Creative Cloud
• Interfacing with other academic and private entities, such as Amazon Education, to facilitate student learning
• Training staff in interpersonal communication skills and teaching methods

Conference & Journal Reviewing

• CVPR 2022
• NeurIPS 2023
• TMLR 2023
• CHI 2022
• AAAI 2022

Co-President

• Elected leadership position in club of 200+ graduate EECS students
• Organized application mentoring for underserved students applying to the AI program

Early Career Professional Mentor

Selected for Featured Program in State of Diversity at Oregon State

International Conference on Computer Vision (ICCV) DEI Grant

Intern Code Quality Jam, Category Winner and 2nd Best Overall

Edith McDougall Scholarship

Norman & Evelyn Wildish Distinguished Graduate Fellowship

Academic Excellence in Computer Science Award

Alumni Division Winner, WWU Hackathon

Track Global Fellowship in Computer Science

Travel Grant, ACM FAccT

Travel Grant, NeurIPS

Academic Honors, Magna Cum Laude

Susan Brown Advancing Technology Education Scholarship

Distinguished Speaker, Scholars Week

Best Presentation, WWU Hackathon