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Dalron J. Robertson is a biomedical researcher, software engineer, PharmD/MBA candidate, and founder of NaS. His work focuses on precision medicine, translational science, clinical pharmacy, and computational approaches to biomedical research.
His background includes biological science, health-system pharmacy, software engineering, molecular modeling, bioinformatics, and business. He is developing a career grounded in direct patient care while building scientific systems that support better therapeutic decisions.
Oncology is the initial clinical and scientific focus. The longer-term vision extends this work into infectious disease and other areas where biomarkers, real-world evidence, and biomedical data can improve patient selection, treatment strategy, dosing, and therapeutic response.
- Supporting discharge and outpatient pharmacy services at UChicago Medicine
- Completing the Doctor of Pharmacy and Master of Business Administration programs
- Developing industry knowledge through the Astellas Bridge to Industry Mentor Intensive Program
- Building NaS as a precision-medicine company focused on turning biomedical evidence into better therapeutic decisions
- Advancing research in bioinformatics, molecular modeling, evidence synthesis, and biomedical knowledge systems
A biomedical knowledge system that ingests, processes, and indexes scientific literature for evidence retrieval, research synthesis, and structured exploration.
A computational research workflow designed to collect evidence, support analysis, document findings, and improve the reproducibility of scientific work.
The internal systems layer supporting research coordination, knowledge access, and the continued development of NaS scientific infrastructure.
The source for dalronjrobertson.com, featuring research, professional milestones, writing, and selected projects.
- Precision medicine
- Oncology and infectious disease
- Translational science
- Biomarkers and patient stratification
- Real-world data and real-world evidence
- Bioinformatics and molecular modeling
- Computational chemistry
- Biomedical knowledge systems
- Clinical and pharmaceutical research
Programming: Python, JavaScript, SQL, Java, C, C++
Data and modeling: PyTorch, TensorFlow, scikit-learn, pandas, NumPy
Bioinformatics: AlphaFold, ChimeraX, UniProt, SwissTargetPrediction, Molinspiration
Scientific computing: RDKit, Schrödinger, molecular docking, descriptor analysis
Development: Git, AWS, Node.js, React, Express, FastAPI, Flask
Clinical and pharmacy systems: Epic, Parata Max, DocuTrack, FrameworkLTC
Automation: UiPath
- Doctor of Pharmacy, Chicago State University
- Master of Business Administration, Mississippi College
HBCU alumnus. Patron of the arts.