Daniil Filienko

Daniil Filienko

PhD CSS Student | Specializing in Privacy-Preserving Machine Learning for Healthcare Applications

Education

PhD in Computer Science and Systems
University of Washington, Tacoma
2023 - Expected 2028
Master of Science in Computer Science and Systems
University of Washington, Tacoma
2023 - 2025
GPA: 3.99
Bachelor of Science in Computer Science and Systems
University of Washington, Tacoma
2021 - 2023
GPA: 3.97, Magna Cum Laude

Awards & Honors

UW Husky 100
2025
UW Outstanding Graduate Researcher Award
2025
UW Student Leadership Award
2025
NIH AIM-AHEAD Cohort 3 Research Fellowship
2024
UW Graduate Student Equity & Excellence (GSEE) Award
2024
NSF Graduate Research Fellowship Program Honorable Mention
2024
Andrew and Julie Fry Innovation Award
2024
Carwein-Andrews Distinguished Fellowship Award
2024
UW Graduate Merit Scholarship
2024
UW Outstanding Undergraduate Researcher Award
2023
UW President's Medal Candidate
2023
NASA 'Pushback to the Future' Data Science Competition Winner
2023

All Publications

Influence of Gender-Specific Data Imbalance on scGPT Fine-Tuning for Single-Cell Genomics
M.A.U. Al Amin, D. Filienko, H. Qin
AAAI 2025 Fall Symposium Series, 2025
View Paper
Transforming Tuberculosis Care: Optimizing Large Language Models for Enhanced Clinician-Patient Communication
D. Filienko, M. Nizar, J. Roberti, D. Galdamez, H. Jakher, S. Iribarren, W. Yuwen, M. De Cock
Workshop on Large Language Models and Generative AI for Health at 2025 AAAI Conference on Artificial Intelligence
View Paper
AI for Global Health: Leveraging Large Language Models for Tuberculosis Treatment Adherence
D. Filienko, M. Nizar, J. Roberti, D. Galdamez, H. Jakher, S. Iribarren, W. Yuwen, M. De Cock
Workshop on Considering Cultural and Linguistic Diversity AI Applications, Association for Information Science and Technology
View Paper
Toward Large Language Models as a Therapeutic Tool: Comparing Prompting Techniques to Improve GPT-Delivered Problem-Solving Therapy
D. Filienko, Y. Wang, C. El Jazmi, S. Xie, T. Cohen, M. De Cock, W. Yuwen
American Medical Informatics Association (AMIA) Annual Symposium, 2024
View Paper
Predicting Time to Pushback of Flights in U.S. Airports
D. Filienko, Y. Lin, K. Robison, T. Tomlin, M. De Cock
Undergraduate Consortium at 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023
View Paper

Professional Experience

9/2025 – Present
Research Intern
Research Center Trustworthy Data Science and Security
  • Working on Differential Privacy and Large Language Models under the supervision of Dr. Habernal.
6/2025 – Present
Applied Scientist Intern
Zillow
  • Working on agentic AI systems to enhance real estate technology and customer experience.
3/2023 – Present
Research Assistant
University of Washington, Tacoma

NIH AIM-AHEAD Research Fellowship on Acute Myeloid Leukemia subtyping

  • Worked on improving scGPT model's ability to do cell subtype classification for genomics data and bulk seqRNA data for AML, focusing on improving performance across demographic groups, optimizing for fairness and accuracy.

LLM-assisted Tuberculosis Treatment Adherence Tool

  • Led an interdisciplinary team in training a Large Language Model (LLM) to ensure the high model performance in multilingual settings while preserving the privacy of patient dialogues.

Caring For Caregivers Online

  • Led an interdisciplinary team in training an LLM as a chatbot to deliver parts of Problem-Solving Therapy to assist family caregivers.
4/2024 – 10/2024
ORISE Fellow
Food and Drug Administration, Washington D.C.
  • Evaluated medical synthetic image generator by designing downstream segmentation and detection-based evaluation pipeline in PyTorch.
10/2023 – 10/2024
Software Engineer
University of Washington, Seattle
  • Created FHIR-specific migration system package managing store updates.
  • Refactored predictive Language Model into a separate containerized service.
2023
Undergraduate Research
Pushback to the Future Competition – Time Series Prediction
  • Won competition sponsored by NASA aimed at improving flight departure time prediction through tree-based ML models.
  • Designed a winning model with feature-engineering and supervised learning. Improved the accuracy over the presented baseline model by 50%.
  • Adapted it for the Federated Learning paradigm via PyTorch Flower Framework.

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.

Research Projects

LLM-based Tuberculosis Treatment Assistant
Developing an 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.
COCO: Chatbot for Mental Health Support
Assisted in developing full AWS architecture for a chatbot that provides mental health support with clinically proven methods. Led the LLM team responsible for the development of robust and effective chatbot
Attack for Membership Inference in Diffusion Models
Researching attacks on Diffusion Models to understand and improve privacy vulnerabilities for MIDST 2025 competition
Federated Learning for Pushback Prediction
Implementing federated learning algorithms to predict flight pushback times for NASA's Back to the Future 2023 competition.