Manish Acharya

Namaste 🙏. I am a second-year undergraduate student at Vanderbilt University, pursuing a double major in Computer Science and Mathematics along with a minor in Electrical and Computer Engineering.

At Vanderbilt, I am actively involved in multiple research projects spanning AI, optimization, and mathematical reasoning. With the MIND Lab, under the mentorship of Prof. Yu Huang and Yifan Zhang, I am exploring ways to enhance the mathematical reasoning abilities of large language models (LLMs). In parallel, I am working with the SOL Lab, guided by Prof. David Hyde, where I apply Bayesian optimization to accelerate algorithms for computing sliced Wasserstein distances. I also collaborate with the Vanderbilt AI Negotiation Lab, led by Prof. Ray Friedman, contributing to research at the intersection of AI and negotiation dynamics. In addition to these lab-based projects, I am independently developing deep learning approaches to solve the Vehicle Routing Problem (VRP), aiming to improve efficiency in combinatorial optimization tasks.

Research Interests

• Theoretical Computer Science
• Computational Complexity Theory
• Algorithm Design and Optimization
• Artificial Intelligence and Machine Learning