Student Research Opportunities

“The time will come when diligent research over long periods will bring to light things which now lie hidden. A single lifetime, even though entirely devoted to the sky, would not be enough for the investigation of so vast a subject... And so this knowledge will be unfolded only through long successive ages. There will come a time when our descendants will be amazed that we did not know things that are so plain to them... Many discoveries are reserved for ages still to come, when memory of us will have been effaced.” ~Lucius Annaeus Seneca

Research Initiatives

In 2022, researchers in the College of Arts and Sciences received more than $21,500,000 in external funding, from over 60 different sponsors across the entire range of disciplines in the College. We are well on our way to exceeding that total in 2023 and setting another record for grant performance. The total grant activity, including grants where our faculty are Co-PI on grants with faculty members from other Colleges and Research Centers, exceeds $120M.

Below are a few highlights of the integral research taking place in the College of Arts & Sciences.

Undergraduate Students

The faculty and staff of the College of Arts and Sciences believes in student success, and we provide a plethora of resources to help you achieve your undergraduate goals. Our nationally recognized faculty provide excellent instruction and work on the cutting edge of research. The College has a team of professional academic advisers to help guide you through your academic journey. Arts and Sciences provides pre-professional services, academic tutoring and teaching. Welcome to Arts and Sciences!

Enhancing the Study of Microbiome-Metabolome Interactions: A Transfer-Learning Approach for Precise Identification of Essential Microbes

Abstract: Recent research has revealed the essential role that microbial metabolites play in host-microbiome interactions. Although statistical and machine-learning methods have been employed to explore microbiome-metabolome interactions in multiview microbiome studies, most of these approaches focus solely on the prediction of microbial metabolites, which lacks biological interpretation. Additionally, existing methods face limitations in either prediction or inference due to small sample sizes and highly correlated microbes and metabolites. To overcome these limitations, we present a transfer-learning method that evaluates microbiome-metabolome interactions. Our approach efficiently utilizes information from comparable metabolites obtained through external databases or data-driven methods, resulting in more precise predictions of microbial metabolites and identification of essential microbes involved in each microbial metabolite. Our numerical studies demonstrate that our method enables a deeper understanding of the mechanism of host-microbiome interactions and establishes a statistical basis for potential microbiome-based therapies for various human diseases.

 

Date:
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Location:
MDS 220
Event Series:

2023 Founder's Day

A few photos from our 2023 Founder's Day event! 

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