Stochastic and Mathematical Optimization
Developing mathematical programming and decomposition-based approaches for operational decision-making under uncertainty.
Operations Research · Supply Chain Analytics
Bhavish Jain
Postgraduate Researcher in Operations & Supply Chain Analytics
M.Sc. Mathematics · IIT Delhi
Modeling uncertainty. Designing better decisions.
I am a postgraduate researcher pursuing an M.Sc. in Mathematics at IIT Delhi. My work lies at the intersection of operations research, stochastic optimisation, supply-chain analytics, game theory, and graph-based learning, with a focus on resilient supply networks, AI-enabled service innovation, and data-driven decision-making under uncertainty.
Thinking beyond answers
Questions shape the direction.
The most meaningful questions are often those that refuse simple solutions.
Research Focus
Supply Chain Resilience and Analytics
Studying resilient network design, disruptions, routing, inventory systems, and data-driven supply-chain decisions.
Game Theory and AI-enabled Service Innovation
Analysing strategic interactions, equilibrium behaviour, and AI-driven service technologies in supply-chain and e-commerce systems.
Graph and Hypergraph Learning
Exploring graph-based and hypergraph neural-network methods for modelling higher-order relationships in biomedical data.
Application Areas
- Resilient FMCG supply chains
- E-commerce supply chains
- Last-mile delivery
- Supply-chain disruptions
- AI-enabled service innovation
- Delivery-risk analytics
- Biomedical data modelling
Selected Projects
Manuscript completedResearch Manuscript
Resilient Multi-Echelon FMCG Supply Chain Network Design under Uncertainty
A resilient multi-echelon FMCG supply-chain network design model under supplier and warehouse disruptions, formulated using two-stage stochastic mixed-integer linear programming.
Two-Stage Stochastic Mixed-Integer Linear ProgrammingSample Average ApproximationLatin Hypercube SamplingClassical Benders Decomposition+6
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Manuscript in preparationResearch Manuscript
AI-Driven Service Innovation in E-Commerce Supply Chains
A game-theoretic study of AI-powered chatbot adoption in e-commerce supply chains, focusing on consumer engagement, channel dynamics, strategic interactions, and equilibrium outcomes under AI-driven service innovation.
Game-Theoretic ModellingStrategic InteractionsEquilibrium Analysis+5
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Completed ProjectIndependent Research Project
Interpretable Learning-Augmented Last-Mile Delivery Routing
An interpretable, learning-augmented approach to last-mile delivery routing that combines operations research with interpretable machine learning and hierarchical zone-preference modelling, evaluated on real Amazon last-mile delivery routes using the official challenge scoring.
Operations ResearchInterpretable Machine LearningRoute Optimisation+5
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Research Experience
Research Intern
Indian Institute of Management Calcutta
Operations Management Group
Supervisor: Prof. Ayesha Arora
Studying digital supply-chain innovation in e-commerce, with a focus on AI-powered chatbots, consumer engagement, and channel dynamics, and developing a game-theoretic model of strategic interactions and equilibrium outcomes under AI-driven service innovation.
Digital supply-chain innovationAI-powered chatbotsConsumer engagement & channel dynamicsGame-theoretic modelling
M.Sc. Thesis Researcher
Indian Institute of Technology Delhi
Department of Mathematics
Supervisor: Prof. Aparna Mehra
Thesis on Hypergraph Neural Networks and Graph-based Learning for Biomedical Applications — investigating hypergraph neural networks and graph-based learning methods for modelling higher-order relationships in biomedical data.
Hypergraph neural networksGraph-based learningHigher-order relationshipsBiomedical data modelling
Research Intern
Indian Institute of Management Mumbai
Operations & Supply Chain Division
Supervisor: Prof. Vijaya Kumar Manupati
Developed a two-stage stochastic mixed-integer linear programming model for resilient multi-echelon FMCG supply-chain network design under supplier and warehouse disruptions, and designed classical and accelerated Benders decomposition approaches to solve it.
Two-stage stochastic MILPResilient multi-echelon FMCG network designFacility location, production & inventory decisionsCross-docking & lateral transshipment
Beyond research
Writing beyond equations.
Alongside research, I write Hindi poetry — a secondary creative practice where I try to understand experience rather than systems.
Poetry Collection
मुझे जल्दी बड़ा होना था
Mujhe Jaldi Bada Hona Tha
A reflective collection centred on growing up, distance from home, and the changing meaning of family.
Poems coming soon
Selected Poem
दिगम्बर
Digambar
A poem on restraint, inner conquest, detachment, and spiritual courage.
Read poem
Open to thoughtful conversations.
I welcome research discussions, collaboration, academic opportunities, and conversations about writing — anything at the intersection of method and meaning.