AI Researcher · Prospective PhD Applicant
Machine Learning · Explainable & Agentic AI · Healthcare Informatics · Mathematical Optimization
Open to research collaborations, open-source contributions, and AI application development opportunities.
I am an AI researcher with a focus on building interpretable, robust, and agentic systems. My work sits at the intersection of machine learning, healthcare informatics, and mathematical optimization—translating complex theoretical insights into practical, deployable solutions. I am currently preparing for PhD applications and actively seeking research groups where I can contribute to foundational advances in trustworthy AI.
- Explainable AI (XAI): Developing methods that make black-box models transparent and accountable in high-stakes domains.
- Agentic AI & Autonomous Systems: Designing goal-directed agents that can plan, reason, and collaborate safely.
- Healthcare Informatics: Leveraging ML to improve clinical decision-making, patient outcomes, and medical workflow efficiency.
- Mathematical Optimization: Applying convex, combinatorial, and stochastic optimization to refine model performance and resource allocation.
| Title | Venue | Year | Links |
|---|---|---|---|
| A novel integrated logistic regression model enhanced with recursive feature elimination and explainable artificial intelligence for dementia prediction | Healthcare Analytics | 2024 | Paper |
| HyOPTEnsemble: custom-weighted soft voting hyperparameter optimization ensemble model, explainable-AI for predicting mental state among university students | Discover Artificial Intelligence | 2026 | Paper |
| Generative Artificial Intelligence in Clinical Practice: A Mini-Review of Applications, Benefits, and Limitations (2020–2025) | Frontiers in Digital Health | 2025 | Paper |
| MIC: Medical Image Classification Using Chest X-ray (COVID-19 & Pneumonia) Dataset with CNN and Customized CNN | ICCA '24, ACM | 2025 | Paper |
> View full list on Google Scholar
I am actively looking for:
- Research collaborations in XAI, agentic systems, or healthcare AI.
- Open-source projects aligned with trustworthy AI and scientific computing.
- PhD advisors and research groups with interests in ML theory, optimization, or clinical AI.
- Industry R&D roles or consulting opportunities in AI application development.
If any of these overlap with your work, please reach out.
Languages & Core ML
Frameworks & Tools
Last updated: August 2026 · Edit this README