👋🏼 Hello there, I’m Ishan!
I’m an Applied Scientist in the Modeling and Optimization group at Amazon, where I design solutions for large-scale supply chain optimization problems—ranging from inventory placement and management to network topology planning.
Alongside my work in industry, I remain deeply connected to academia, actively contributing to the fields of theoretical computer science and operations research through peer-reviewed publications. I am always open to new research collaborations!
Research Interests
My work sits at the intersection of practical engineering and mathematical theory. I focus on developing approximation algorithms and mathematical modeling techniques for complex systems.
- Operations Research: Discrete optimization and integer programming applied to production planning, electricity trading, inventory management, and topology optimization.
- Theoretical Computer Science: Developing approximation algorithms for classical discrete optimization problems, with a particular focus on network design.
- Core Toolkit: Polyhedral analysis, algorithm design, and mathematical modeling. I love finding ways to bridge these advanced theoretical techniques with real-world supply chain logistics.
Education & Experience
- Ph.D. in Operations Research & Information Engineering | Cornell University
Advised by Prof. Oktay Günlük- Industry Collaboration: Partnered with E & J Gallo Winery to optimize their North American transportation network.
- M.Math in Combinatorics & Optimization | University of Waterloo
Advised by Prof. Chaitanya Swamy and Prof. Jochen Könemann B.Sc. (Hons) in Mathematics and Computer Science Chennai Mathematical Institute
Beyond the Math
When I’m not thinking about algorithms, you can usually find me:
- Teaching Meditation: I am a certified meditation trainer and spend a significant amount of my time volunteering to help people find their focus and peace.
- Staying Active: Playing chess or hitting the soccer field.
- On the Keys: I am currently teaching myself how to play the piano. If you have any self-learning tips, resources, or book recommendations, please send them my way!
