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夏天的研究
There are plenty of opportunities for biology and other science students to conduct research over the summer.
夏季科学研究
每年夏天, there are opportunities for MG官方电子平台 students to work with science faculty on their research or through the Pakula Biomedical Fellowship Program. 这些机会的长度为4周或8周. 学生可以获得大学学分和工作津贴. 所有参与的学生都住在校园里.
2023年夏季研究机会如下. All of these projects are part of the Pakula Biomedical Fellowship Program and will run for 8 weeks from June 5 - July 28, 2023. Students will work with a faculty mentor to develop a research question and participate in the weekly 2-hr professional development seminar (1 unit of special project). 研究员将获得5250美元的津贴, 以帮助抵消暑期学费的成本, 还有食宿. 要查看可用的项目，请单击下面的主题. For more details, contact the principal investigator for each project directly. For general questions about the Pakula Biomedical Fellowship program, contact Dr. 唐雅嘉(caryt@014533.com).
Students interested in working in other STEM disciplines should check the respective discipline website or contact individual faculty members.
项目
This project is part of the Pakula Biomedical Fellowship Program.
我的研究方向是抗生素的发现, with the goal of discovering new molecules that could be used as antibiotics (medicines to treat bacterial infections). I collaborate with the international Tiny Earth network of scientists and students working to mitigate the antibiotic crisis. This work draws upon skills and techniques from many disciplines: organic chemistry, 药物化学, 微生物学, 生物化学, 和遗传学. Students involved in this research project will be starting from previously identified bacterial isolates from soil that demonstrate antibiotic activity; experimental techniques include extracting, 分离, and characterizing the chemical metabolites produced by soil bacteria.
- 项目持续时间: 8周(06/05/23 - 07/28/23)
- 必备的课程:化学117:入门化学和生物208:微生物学
- 喜欢的课程化学230:有机化学
- 学生职位数目: 3
首席研究员
克里斯汀Labby
详情及申请
申请这个机会This project is part of the Pakula Biomedical Fellowship Program.
New antibiotics have not been discovered for over 30 years and the healthcare system needs to find treatments for rogue bacteria. 寻找新抗生素的最佳地点是在环境中, since microbes produce antibiotics to protect themselves from neighboring bacteria. This study will map out strategic locations around campus and aquatic areas across Beloit to collect microbial samples and screen for antibiotic producers. The experiments will follow the Tiny Earth soil project design for the novel use of local water sources. 我们将收集环境中的微生物, 培养细菌, 筛选抗生素生产, and characterize bacteria through sequencing and metabolic tests. This is your summer opportunity to discover a solution to a major healthcare crisis.
- 重点领域:生物学
- 项目持续时间: 8周(06/05/23 - 07/28/23)
- 必备的课程生物学杂志第208期:微生物学
- 喜欢的课程: N/A
- 学生职位数目: 2
首席研究员
克里斯蒂娜布兰科
详情及申请
申请这个机会This project is part of the Pakula Biomedical Fellowship Program.
Disease has been implicated as a contributing factor in the ongoing decline in global amphibian population sizes. 除了疾病, another factor threatening global amphibian populations is environmental contamination. A leading hypothesis to explain these declines is that environmental pollutants weaken amphibian immune function such that subsequent exposure to pathogens results in increased disease susceptibility and death. 因此, measures of immune function provide a way to analyze how contaminant exposure may be linked to disease susceptibility. Previous research has found that polychlorinated biphenyl (PCB-126) exposure during the tadpole life stage (but not the juvenile stage alone) decreased innate and adaptive immunity in juvenile frogs following metamorphosis. However, the mechanisms underlying this life-stage specific immunotoxicity are not well understood. We will expose tadpoles to PCB-126 and employ molecular techniques like polymerase chain reaction (PCR), 酶联免疫吸附试验, and/or RNA sequencing to identify genes and proteins that might be dysregulated in response to PCB-126. The findings of this research will help elucidate the mechanisms involved in PCB-126 toxicity in tadpoles.
- 重点领域:生物学
- 项目持续时间: 8周(06/05/23 - 07/28/23)
- 必备的课程: Any 100-level BIOL course and CHEM 117: Introductory Chemistry
- 喜欢的课程:生物识别学
- 学生职位数目: 1
首席研究员
Tawnya卡里
详情及申请
申请这个机会This project is part of the Pakula Biomedical Fellowship Program.
Prediction of heart disease at early stages is considered to be critical to manage and control it. Several techniques in machine learning (ML) and data mining can be employed to predict the presence of heart disease. The main goal of this research is to develop a model based on traditional ML and data mining such as Decision Trees, 支持向量机, Artificial Neural networks and Bayesian classifiers in order to predict the presence of heart disease and to assist physicians in maximizing accuracy for identification of the heart disease severity stage. 除了, 我们还将采用深度学习技术(如CNN), 款, 和RNN), 迁移学习(TL), 联邦学习(FL), and compare their performance with the traditional ML techniques. 在这项研究中, we will use the database sets mentioned below for more than a thousand of instances that include important clinical, 物理, laboratory and historical patient data: Coronary heart disease historical data | IEEE DataPort (ieee-dataport.org) Heart Disease Dataset (Comprehensive) | IEEE DataPort (ieee-dataport.org)
- 项目持续时间: 8周(06/05/23 - 07/28/23)
- 必备的课程: csci 204
- 喜欢的课程: N/A
- 学生职位数目: 2
首席研究员
伊亚德·哈吉说