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AIS 2024 Science Mentor

Gideon Bradburd

I am an evolutionary biologist interested in understanding the causes and consequences of genetic variation across time and space. One of the fundamental goals of evolutionary biology is to quantify patterns of genetic diversity within and between populations to enable the study of the processes that shape them. However, the development of key statistical methods ...

Brian Kiedrowski

Dr.Kiedrowski’s research focuses on the development of methods related to understanding the interactions and transport of particle radiation (neutrons, photons, and charged particles) within matter. To solve these problems, he employs both traditional numerical linear algebra methods and Monte Carlo simulations and apply data-driven approaches for the purpose of acceleration and uncertainty quantification. Specific projects ...

Venkat Viswanathan

Research on computational modeling of energy materials design and optimization 1) I led this large research project on developing machine-learning guided materials discovery demonstrating speed-up of over 80% over traditional methods. 2) My research group runs a popular Scientific Machine Learning webinar series: https://micde.umich.edu/news-events/sciml-webinar-series/

Sabine Loos

My research focuses on natural hazards and disaster information, everything from understanding where disaster data comes from, how it’s used, and its implications to design improved disaster information systems that prioritize the human experience and lead to more effective and equitable outcomes. My lab takes a user-centered and data-driven approach. We aim to understand user ...

Mojtaba Akhavan-Tafti

Comprehensive investigations of solar, interplanetary, and Earth’s Magnetospheric systems utilizing state-of-the-art in-situ observations and global simulations. The research topics of interest involve critical open science questions, including solar coronal heating, solar wind acceleration and heating processes, magnetospheric dynamics, and space weather predictions. The research tools include statistical data analyses to generate physics-based models. Accomplishments and ...

Yafeng Yin

My research interests include the analysis, modeling, design and optimization of transportation systems towards achieving sustainability and economic efficiency. My ongoing research involves investigating the implications of emerging technologies on mobility services and systems. I closely follow the development of new technologies, such as smart mobile devices and apps, sensoring technologies, electric vehicles, drones, and ...

Lia Corrales

My PhD research focused on identifying the size and mineralogical composition of interstellar dust through X-ray imaging of dust scattering halos to X-ray spectroscopy of bright objects to study absorption from intervening material. Over the course of my PhD I also developed an open source, object oriented approach to computing extinction properties of particles in ...

Aaron A. King

The long temporal and large spatial scales of ecological systems make controlled experimentation difficult and the amassing of informative data challenging and expensive. The resulting sparsity and noise are major impediments to scientific progress in ecology, which therefore depends on efficient use of data. In this context, it has in recent years been recognized that ...

William Currie

Bill Currie studies how physical, chemical, and ecological processes work together in the functioning of ecosystems such as forests and wetlands.  He studies how human impacts and management alter key ecosystem responses including nutrient retention, carbon storage, plant species interactions, and plant productivity.   Dr. Currie uses computer models of ecosystems, including models in which he ...