Give

AIS 2025 AI Mentor

Jiasi Chen

One project my group worked on is cost-efficient use of large language models (LLMs). Recently, there has been a proliferation of LLMs by multiple providers, each with different inference accuracy, monetary cost, and latency. If a user has a finite monetary budget and wants to use LLMs to solve a series of problems, how should ...

Joyce Chai

My research interests are in the area of natural language processing, situated dialogue agents, and artificial intelligence. I’m particularly interested in language processing that is sensorimotor-grounded, pragmatically-rich, and cognitively-motivated. My current work explores the intersection of language, vision, and robotics to facilitate situated communication with embodied agents and applies different types of data (e.g., capturing ...

Kai Zhu

Kai Zhu is interested in global change biology, ecological modeling, and environmental data science, where he enjoys integrating ecological theory with advanced tools in statistics and computer science. His current research focuses on plant and soil responses to environmental change in the coupled natural and human systems, spanning from meter-scale experiments to global-scale analyses. Recent ...

Camille Avestruz

Prof. Avestruz is a computational cosmologist leading the ALCCA (Avestruz Lab for Computational Cosmology and Astrophysics) research group. Her research group uses simulations to model, predict, and interpret observed large-scale cosmic structures. Her primary focus is to understand the evolution of galaxy clusters. These are the most massive gravitationally collapsed structures in our universe, comprised ...

Alex Gorodetsky

Alex Gorodetsky’s research is at the intersection of applied mathematics, data science, and computational science, and is focused on enabling autonomous decision making under uncertainty. He is especially interested in controlling, designing, and analyzing autonomous systems that must act in complex environments where observational data and expensive computational simulations must work together to ensure objectives ...

Lei Ying

Lei Ying’s research is broadly in the interplay of complex stochastic systems and big-data, including large-scale communication/computing systems for big-data processing, private data marketplaces, and large-scale graph mining.

Xun Huan

Prof. Huan’s research broadly revolves around uncertainty quantification, data-driven modeling, and numerical optimization. He focuses on methods to bridge together models and data: e.g., optimal experimental design, Bayesian statistical inference, uncertainty propagation in high-dimensional settings, and algorithms that are robust to model misspecification. He seeks to develop efficient numerical methods that integrate computationally-intensive models with ...

Danny Forger

Daniel Forger is a Professor in the Department of Mathematics. He is devoted to understanding biological clocks. He uses techniques from many fields, including computer simulation, detailed mathematical modeling and mathematical analysis, to understand biological timekeeping. His research aims to generate predictions that can be experimentally verified.

Bryan R. Goldsmith

Bryan R. Goldsmith, PhD, is Assistant Professor in the department of Chemical Engineering within the College of Engineering at the University of Michigan, Ann Arbor. Prof. Goldsmith’s research group utilizes first-principles modeling (e.g., density-functional theory and wave function based methods), molecular simulation, and data analytics tools (e.g., compressed sensing, kernel ridge regression, and subgroup discovery) to ...