Nutrition & sports nutrition consultation
Evidence-informed guidance for weight and body composition, sports nutrition, energy and protein needs, and clearer use of personal health metrics.
Nutrition consultationScience, nutrition, exercise & healthScience for a healthier tomorrow;
Science for a healthier tomorrow;
better informed, better performing.
AliLab reviews research in nutrition, exercise physiology, health, and data in clear, accessible language—connecting evidence with better decisions and real-world performance.
- Sports Nutrition
- Exercise Physiology
- Health Research
- Data & AI
Science × Nutrition × PerformanceConnecting research with real life
01 / ABOUT
AliLab connects my interdisciplinary background in engineering, nutrition, and sports physiology with my growing path in data science.
This space documents the real process of learning and building: from defining a question and analyzing data to evaluating a model, documenting the result, and automating a workflow.
The story behind this pathTwo paths, one approach
AliLab keeps personal nutrition and professional collaboration clearly separated
Choose nutrition consultation for individual goals around diet, body composition, and performance. Use the professional contact route for data, research, machine learning, or automation work.
Data, research & automation
Use the professional contact route for research collaboration, data analysis, machine learning, practical tools, or automation projects.
Work with meFeatured projects
All projectsWork that turns a problem into an outcome
Real examples from my work in data analysis, machine learning, health research, and building practical tools.
Machine LearningFatty Liver Prediction with Sex-Specific Models
A comparison of RF, SVM, GB, and KNN for predicting fatty liver disease in 306 adults with overweight or obesity; the men's Random Forest model achieved the best performance.
GitHub: coming soonView: coming soon
Deep LearningBreast Cancer Classification with Keras
Building and evaluating a neural network on the breast cancer dataset, including K-fold validation, Dropout, and hyperparameter tuning; test accuracy was approximately 98%.
GitHub: coming soonView: coming soon
Computer VisionPneumonia Detection in Chest X-rays
Designing a CNN with Keras to classify chest X-ray images and examining performance differences across training, validation, and test sets.
GitHub: coming soonView: coming soon
Skills
Skill detailsTools, methods, and areas of work
Skill levels are shown using qualitative categories rather than misleading percentages.
Data Analysis
Python · Pandas · Excel · SQL
Core skillsData Science & ML
Machine Learning · Deep Learning · Scikit-learn · TensorFlow
Working knowledgeProgramming & Databases
Python · SQL · PostgreSQL · Jupyter
Working knowledgeVisualization
Power BI · Excel Charts · Matplotlib · Seaborn
Core skillsResearch
Health Research · Sports Physiology · Nutrition · Scientific Writing
Core skillsCloud & Deployment
Docker · Cloud · API Deployment · Model Deployment
Currently learningAn interdisciplinary perspective
Health, research, and data: three parts of one problem
My background in nutrition and sports physiology helps me see health data as more than numbers. At AliLab, I bring together domain knowledge, research methods, and data science tools.
Research and articlesOpen to collaboration
Start a conversationIf you have data or a problem, let's talk about it.
I am open to research collaborations, data analysis projects, and automation ideas, starting with a careful look at the problem and a practical path forward.