I'm a Machine Learning Research Fellow at Mayo Clinic developing multimodal foundation models for digital pathology, combining vision transformers, clinical language models, and graph-based learning for scalable, clinically grounded AI systems.
I completed my PhD at Arizona State University, where I worked on statistical machine learning, probabilistic graphical models, and computationally efficient learning algorithms for large-scale structured data.
- Multimodal Foundation Models
- Diffusion Models
- Probabilistic Graphical Models
- Statistical Machine Learning
- Graph Machine Learning
- ML Systems for IoT and Healthcare
- Languages: Python, C++, Bash, SQL
- Frameworks: PyTorch, TensorFlow, Scikit-learn, HuggingFace
- Tools: Docker, FastAPI, Azure ML, Databricks, Kubernetes
- MLOps: CI/CD, microservices, containerization, REST APIs
- Data Science: pandas, NumPy, Seaborn, Airflow, Spark
- 🧪 Scientific ML Agent for Reinforcement Learning & LLMs
- 📊 Graph Structure Learning from Covariance Queries
- 🏥 ML for Fall Detection in Smart Healthcare
- 🤖 Autonomous System Planning with RL & Probabilistic Reasoning
- 🎞️ Multimodal Transformers for Video Understanding
- 📝 Google Scholar
- 🌍 Website