Adilbek Bazarkulov
Graduate Research Assistant
Computational Biology Enthusiast
Software Engineer
I'm a computer science student with a genuine passion for applying computational methods to biological problems. Still early in my journey, I'm fortunate to be mentored by Dr. Stephen Ramsey while working in the Ramsey Lab as a Graduate Research Assistant.
I'm grateful for the opportunity to collaborate with researchers from prestigious institutions including Pennsylvania State University, the Broad Institute of MIT and Harvard, Scripps Research, the Institute of Systems Biology, and the University of North Carolina at Chapel Hill as part of the NCATS Biomedical Translator consortium.
Current Research
Contributing to the NCATS Biomedical Data Translator project, specifically:
Experience the project: ui.transltr.io
Technical Expertise
Proficient in Python and full-stack development, with ongoing coursework in Machine Learning and AI.
Research Interests
Computational biology, genomics, knowledge graphs, machine learning, algorithms, and the application of data science to solve complex biological problems.
Education
Oregon State University
Master's in Computer Science
Minor in Biological Data Science
Focus Areas
Computational Biology and Machine Learning
Oregon State University
B.S. in Computer Science
Dean's List 2019-2023
Core Coursework
Professional Experience
Oregon State University | Ramsey Lab
Graduate Research Assistant
Contributing to ARAX (the Expander Agent) ARA and RTX KG2 and RTX KG2c knowledge graphs within the NCATS Biomedical Translator ecosystem
Key Contributions
- Helped improve database build process, increasing data quality by 35%
- Contributed to AWS infrastructure optimization for knowledge graph maintenance
Samaritan Health Services
Software Engineering Intern
Developed healthcare software solutions to improve clinical workflows.
Key Contributions
- Built a patient appointment system that helped reduce scheduling time by 70%
- Assisted with medical records integration across systems
Oregon State University | Bee Atlas Lab
Student Data Scientist
Supported pollinator conservation research through data analysis.
Key Contributions
- Developed data processing pipeline for 1M+ bee population records across 36 counties
- Created visualizations to help research teams analyze findings 50% faster
Featured Projects
Technical Skills
Frontend
Backend
Data
DevOps
Core Languages
Tools
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Get In Touch
Contact Information
I'm always open to discussing new projects, opportunities, or just having a chat about technology and computational biology.