I’m an instructor with a Ph.D. in Mathematics, working at the intersection of optimization, machine learning, and real-world modeling. My work focuses on designing intelligent algorithms—deep learning models, probabilistic estimators, and evolutionary optimizers—to solve high-impact problems across biology, engineering, and computational science.

 I bridge theory and application by building systems that are not only accurate but also scalable, explainable, and adaptable across various domains. 

Technical Skills 

• Evolutionary Optimization (Differential Evolution, Hybrid Metaheuristics)

• Deep Learning (image segmentation, time-series prediction, CNNs)

• Bayesian Modeling & Inference

• Statistical Data Modeling

• Python, MATLAB, R, TensorFlow, PyTorch

Applied Domains 

• Medical Image Analysis (cell tracking, tissue segmentation)

• Molecular Interaction Modeling

• Infrastructure Optimization (water, energy, finance systems)

• Probabilistic modeling for noisy biological data

• Interdisciplinary Collaboration: bio, CS, math, engineering