Background
Education
All three degrees at the University of Washington — moving from undergraduate research straight into a PhD focused on trustworthy machine learning.
PhD in Computer Science and Systems
University of Washington, Tacoma
2023 – Expected 2028
Privacy-Preserving ML for Healthcare
MS in Computer Science and Systems
University of Washington, Tacoma
2023 – 2025
GPA 3.99
BS in Computer Science and Systems
University of Washington, Tacoma
2021 – 2023
GPA 3.97 · Magna Cum Laude
Recognition
Awards & Honors
Awards and fellowships spanning research, leadership, and national data science competition wins.
UW SET Graduate Merit Scholarship
2026
UW Husky 100
2025
UW SET Outstanding Graduate Researcher Award
2025
UW SET Student Leadership Award
2025
NIH AIM-AHEAD Cohort 3 Research Fellowship
2024
UW SET Graduate Student Equity & Excellence (GSEE) Award
2024
NSF Graduate Research Fellowship Program Honorable Mention
2024
UW SET Andrew and Julie Fry Innovation Award
2024
UW SET Carwein-Andrews Distinguished Fellowship Award
2024
UW SET Graduate Merit Scholarship
2024
UW SET Outstanding Undergraduate Researcher Award
2023
UW President's Medal Candidate
2023
NASA 'Pushback to the Future' Data Science Competition Winner
2023
Research Output
Publications
Peer-reviewed work at the intersection of large language models, privacy, and health informatics.
RECOMB-Privacy
Federated Generation of Synthetic RNA-seq Data
Presented at RECOMB-Privacy, 2026
AAAI Fall Symposium
Influence of Gender-Specific Data Imbalance on scGPT Fine-Tuning for Single-Cell Genomics
AAAI 2025 Fall Symposium Series, 2025
AAAI Workshop
Transforming Tuberculosis Care: Optimizing Large Language Models for Enhanced Clinician-Patient Communication
Workshop on Large Language Models and Generative AI for Health at 2025 AAAI Conference on Artificial Intelligence
View Paper
ASIS&T Workshop
AI for Global Health: Leveraging Large Language Models for Tuberculosis Treatment Adherence
Workshop on Considering Cultural and Linguistic Diversity AI Applications, Association for Information Science and Technology
AMIA Symposium
Toward Large Language Models as a Therapeutic Tool: Comparing Prompting Techniques to Improve GPT-Delivered Problem-Solving Therapy
American Medical Informatics Association (AMIA) Annual Symposium, 2024
View Paper
ACM SIGKDD
Predicting Time to Pushback of Flights in U.S. Airports
Undergraduate Consortium at 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023
View Paper
Career
Professional Experience
Industry and research roles across Microsoft, Zillow, the FDA, and the University of Washington.
Starting 7/2026
Applied Scientist Intern
Zillow
- Joining Zillow's applied science organization to work on a new privacy-focused project.
Privacy
Applied Science
5/2026 – 7/2026
Applied Scientist Intern
Microsoft · MSAI Team
- Working on self-improving agentic systems and their evaluation.
Agentic Systems
Evaluation
Self-Improving AI
9/2025 – 12/2025
Research Intern
Research Center Trustworthy Data Science and Security
- Worked on synthetic data generation using differential privacy and large language models under the supervision of Dr. Habernal.
Differential Privacy
Synthetic Data
LLMs
6/2025 – 9/2025
Applied Scientist Intern
Zillow
- Worked on agentic AI systems to enhance real estate technology and customer experience.
Agentic AI
Real Estate Tech
3/2023 – Present
Research Assistant
University of Washington, Tacoma
NIH AIM-AHEAD Research Fellowship on Acute Myeloid Leukemia subtyping
- Improved scGPT's cell subtype classification on genomics and bulk seqRNA data for AML, optimizing for fairness and accuracy across demographic groups.
LLM-assisted Tuberculosis Treatment Adherence Tool
- Led an interdisciplinary team training an LLM for high performance in multilingual settings while preserving the privacy of patient dialogues.
Caring For Caregivers Online
- Led an interdisciplinary team training an LLM chatbot to deliver parts of Problem-Solving Therapy to assist family caregivers.
Healthcare AI
LLMs
Fairness
Team Leadership
4/2024 – 10/2024
ORISE Fellow
Food and Drug Administration, Washington D.C.
- Evaluated a medical synthetic image generator by designing a downstream segmentation and detection-based evaluation pipeline in PyTorch.
Medical Imaging
PyTorch
Synthetic Data
10/2023 – 10/2024
Software Engineer
University of Washington, Seattle
- Created a FHIR-specific migration system package managing store updates.
- Refactored a predictive language model into a separate containerized service.
FHIR
Docker
Health Informatics
2023
Undergraduate Research
Pushback to the Future Competition · Time Series Prediction
- Won a NASA-sponsored competition aimed at improving flight departure time prediction with tree-based ML models.
- Designed the winning model with feature engineering and supervised learning, improving accuracy over the baseline by 50%.
- Adapted the model to the federated learning paradigm via the PyTorch Flower framework.
Time Series
Federated Learning
Competition Winner
Service
Leadership
Graduate Student Representative
University of Washington, Tacoma
11/2023 – Present
- Communicated with graduate CSS students to understand their questions and encapsulate the overall concerns for the CSS program.
- Presented before CSS faculty to represent current students' academic needs and contribute to the regular CSS program meetings.
Selected Work
Research Projects
LLM-based Tuberculosis Treatment Assistant
AI-powered treatment assistant with human-in-the-loop design to improve tuberculosis treatment adherence and patient-clinician communication through multilingual support and privacy-preserving techniques.
LLMs
Global Health
Privacy
COCO: Chatbot for Mental Health Support
Built full AWS architecture for a chatbot delivering mental health support with clinically proven methods, and led the LLM team responsible for developing a robust, effective chatbot.
AWS
Mental Health
LLMs
Membership Inference Attacks in Diffusion Models
Researching attacks on diffusion models to understand and improve privacy vulnerabilities for the MIDST 2025 competition.
Diffusion Models
Privacy Attacks
Federated Learning for Pushback Prediction
Federated learning algorithms predicting flight pushback times for NASA's Pushback to the Future 2023 competition.
Federated Learning
NASA