Hello, I’m Ishan!

I am a BS+MS student in Computer Science at Stanford University, currently doing research under Prof. Christopher Ré as part of the Hazy Research Lab.

I’m interested in a variety of research topics generally in the domains of AI and machine learning, with a particular focus on algorithms formultimodal and large language models (LLMs), and their applications. Recently, I’ve worked on WONDERBREAD: a benchmark + dataset for evaluating multimodal models on on business process management tasks. In addition to this, I contributed to Smoothie, a novel label-free approach for inference-time LLM routing.

Moving forward, I am excited to explore research opportunities and collaborations in both academic and industry settings. Feel free to get in touch via email if you would like to discuss about research or collaboration!

Publications and Preprints

• Smoothie: Label Free Language Model Routing
  Neel Guha*, Mayee F. Chen*, Trevor Chow, Ishan S. Khare, Christopher Ré. Conference on Neural Information Processing Systems (NeurIPS), 2024.
  paper | blog | code

• WONDERBREAD: A Benchmark for Evaluating Multimodal Foundation Models on Business Process Management Tasks
  Michael Wornow, Avanika Narayan, Ben Viggiano, Ishan S. Khare, Tathagat Verma, Tibor Thompson, Miguel Angel Fuentes Hernandez, Sudharsan Sundar, Chloe Trujillo, Krrish Chawla, Rongfei Lu, Justin Shen, Divya Nagaraj, Joshua Martinez, Vardhan Agrawal, Althea Hudson, Nigam H. Shah, Christopher Ré. Conference on Neural Information Processing Systems (NeurIPS), 2024.
  paper | website | code

• Actionable Insights on Philadelphia Crime Hot-Spots: Clustering and Statistical Analysis to Inform Future Crime Legislation
  Ishan S. Khare, Tarun K. Martheswaran, Rahul K. Thomas, Aditya Bora. Arxiv, 2023.
  paper

• Electronic, optical, and thermoelectric properties of sodium pnictogen chalcogenides: A first principles study
  Ishan S. Khare, Nathan J. Szymanski, Daniel Gall, Richard E. Irving. Computational Materials Science, 2020.