Arpita Biswas

Arpita Biswas is an Assistant Professor at Rutgers University. Her research focuses on algorithmic fairness, reinforcement learning, and optimization with applications in healthcare, education, and public policy. She designs systems to ensure equitable resource allocation and decision-making in complex real-world scenarios. Recent work includes developing robust policies for maternal telehealth programs and predictive models for public health interventions. Her theoretical contributions span multi-armed bandits, combinatorial optimization, and fairness-aware machine learning frameworks.

Key research directions include:

• Algorithmic fairness in resource allocation systems
• Reinforcement learning for healthcare interventions
• Optimization under uncertainty
• Public policy applications of AI

Her publications consistently address practical challenges in algorithm design, balancing theoretical rigor with deployable solutions. Notable trends include collaboration between machine learning and operations research methodologies to tackle fairness and efficiency trade-offs in dynamic environments.