The National Science Foundation (NSF) Graduate Research Fellowship Program (GRFP) provides three years of financial support for graduate study. It aims to keep the nation a global leader in advancing science and engineering research and innovation. Recipients receive a $34,000 annual stipend and $12,000 education allowance from NSF, plus the UW–Madison Graduate School contributes toward fringe benefits.
“The NSF-Graduate Research Fellows Program is a highly competitive award that draws from student talent across the nation,” states Graduate School Dean William J. Karpus. “The program leads to great outcomes. Awardees not only benefit from the financial support of the fellowship, but also have the long-term benefit of becoming more competitive for future funding and gaining access to opportunities for research collaboration and professional development through NSF programs.”
The fellowship is awarded to individuals in the early stages of their graduate study, who intend to pursue research-based graduate studies in science, technology, engineering, and mathematics (STEM). Fellows are free to use their fellowship at any university, college, or non-profit academic institution of higher education accredited in, and having a campus located in, the United States, its territories, or possessions, or the Commonwealth of Puerto Rico that grants a graduate degree in STEM fields.
- Five year fellowship period with three years of financial support
- Annual stipend of $34,000
- Cost of Education allowance of $12,000 to the institution
- Professional development opportunities (GRIP and GROW)
- XSEDE supercomputer access for Fellows and honorable mentions
- No service requirement
- Access to supplemental funding to sustain research while on medical deferral (e.g. maternity/paternity leave)
Click each awardee’s name for information about the research project for which they received the award.
Note: Undergraduate research proposals are often a student’s general application for the award, showing their potential for significant research, and do not always completely reflect the work the student will complete as a graduate student.
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Ruby Bafu, PhD student, Sociology
The Impact of School Punishment on the Racial Understanding and Life Experiences of Black Girls
Ruby’s research examines the influence of school punishment practices on Black girls’ understanding of themselves. She uses interviews with Black middle and high school girls in Dane County to contextualize their academic experiences and study how school punishment practices shape Black girls’ racial identity formation processes. Her research contributes to education scholarship by interrogating school punishment practices at the intersections of race, gender, and class to expand our knowledge of Black students’ sense-making processes and their academic experiences and outcomes.
Jonathon Blank, PhD student, Mechanical Engineering
Investigating the Link Between Ligament Fiber Architecture and Physiological Loading
Ligaments are soft tissues composed of a hierarchical collagen fiber architecture that act as passive restraints to undesired or abnormal motion across the knee joint during human movement. Nondestructive measurements of regional stress distributions that depend on fiber direction can provide an enhanced understanding of intact ligament mechanical behavior over a broad range of physiological loads.
The characterization of ligament loading as a function of its structure is useful for a variety of applications, including the design of bioinspired fibrous materials and in monitoring tissue loading during orthopedic surgery. Further, intuitive wearable sensors that gauge ligament stress will be used extensively in outreach to promote participation in STEM and biomechanics, which is a highly relatable engineering discipline.
Tianen Chen, PhD student, Electrical Engineering
Approximate Computing Techniques for Hardware Minimization of Neural Networks
My project is the development of the hardware realization of complex machine learning networks in a power-constrained environment. We want to bring mobile machine learning algorithms to hardware.
Some of the most immediate applications lie within the realm of healthcare. We want to be able to offer healthcare providers and patients access to machine learning to help with diagnosis, treatment, and therapy.
Rachel Czerwinski, PhD student, Chemistry
Elucidating the “Dark” State of Photocatalyzed Controlled Radical Polymerizations via Single-Molecule Microscopy
Single-molecule fluorescence spectroscopy allows researchers to directly observe heterogeneity between individual molecules, providing important kinetic and mechanistic data that can be hidden in bulk scale measurements. This research proposes probing individual photocatalysts that drive controlled radical polymerizations in order to understand small but experimentally repeatable amounts of reaction continuing to occur in photocatalyzed systems even after irradiation has ended.
Controlled radical polymerizations enable highly accurate control over molecular weight, structure, and dispersity in polymerization reactions, broadly changing the field of functional material development research, and mediating these reactions with light allows for the rise of easily tunable processes. These proposed single-molecule microscopy experiments will provide information about heterogeneity in the active state lifetimes of individual catalyst molecules and aid in the development of photocatalytic polymerizations that have true “off” states, allowing for increased control of polymer growth for the more facile production of functional materials.
Megan Dixon, PhD student, Microbiology
Microbe-Mediated Adaptations of an “Unfit” Plant Colonizer
A simple leaf may seem innocuous, but to a tiny bacterium, it’s a harsh and unpredictable place to live. My research will investigate how bacteria that are not adapted for survival on plants take advantage of physiochemical changes to the plant caused by other plant colonizers. I will be utilizing Salmonella enterica as a model for bacteria that lack cell-wall degrading enzymes, but manage to gain access to nutrients to replicate. Revealing mechanisms by which the survival of any “unfit” bacteria is enhanced by other microbes has important ecological and public health implications.
Matthew Genzink, PhD student, Chemistry
Enantioselective Brønsted Acid Catalysis of [2+2] Photocycloadditions
The goal of this research is to develop a Brønsted acid catalyzed enantioselective [2+2] cycloaddition, which will enable the synthesis of truxinate natural products.
Cyclobutane-containing compounds show unique biological activity and are ubiquitous in nature. The lack of a selective synthesis for these molecules has limited their testing as medicinal agents. A general method to construct truxinates will allow chemists to screen new derivatives as potential drug leads.
Kate Griffin, BS '19, Biomedical Engineering (Current: Research Intern, UW Department of Surgery)
Development of a Live-Cell Endogenous Testosterone Delivery System
The proposed research will engineer a stem cell derived, long-term, living system that produces physiological fluctuating levels of testosterone, regulated via negative feedback hormone pathways in the body. This system will be used to better understand the developmental basis of testosterone producing cells, provide a design model for hormone producing cell therapy systems, and guide future clinical applications in endogenous testosterone therapy for cis- and trans-males.
The success of this research will provide the basic science background knowledge for novel endogenous testosterone replacement therapy. This has enormous potential to positively impact the wellbeing of transgender individuals within our society, as there are no novel treatments designed for total testosterone replacement for the transgender patient demographic.
Peyton Higgins, PhD student, Chemistry
Characterizing Enzyme Promiscuity Trends in Biosynthetic Pathways
I propose research that would expand our understanding of enzyme promiscuity and how it relates to the specificity of biosynthetic pathways. This work also applies directed evolution to engineer biosynthetic pathways to produce diverse analogs of natural products.
This research will be an essential step towards understanding whether an enzyme’s promiscuity can be predicted based on the identity of its native substrate. Additionally, engineering biosynthetic pathways enables new discoveries by enhancing natural processes.
Christine Hustmyer, PhD student, Biochemistry
Elucidating the Structural and Molecular Transcription Mechanism of Bacterial Chromatin
Bacterial transcription is regulated in part by DNA binding proteins that form poorly characterized protein:DNA structures, collectively termed ‘bacterial chromatin’. I will use genome-scale mapping techniques and structural approaches to investigate how the environment of the bacterium influences the regulation mechanism of one such protein that contributes to bacterial chromatin structure: H-NS.
Structural elucidation of H-NS:DNA complexes and unraveling how environment alters the H-NS mechanism will improve our understanding of transcription in bacteria. We will gain insight into how bacteria modulate gene expression to sustain their fitness in a plethora of environmental stresses, including temperature and osmotic shocks.
Eric Kohn, PhD student, Chemistry
Winning the Arms Race Against the Glyphosate Paradox
My goal is to develop a new type of sensor that uses modified DNA to bind and detect molecules of interest. I will start with a sensor for glyphosate, the active ingredient in Roundup.
Glyphosate is the most commonly-used herbicide in the world, but it is understudied because it is so difficult to detect. A better glyphosate sensor would make it easier for scientists, clinicians, and farmers to measure glyphosate’s effects on human health and the environment.
Alexius Lampkin, PhD student, Molecular & Cellular Pharmacology
Cannabinoid Receptors’ Role in Information Processing
Given the recent discovery of cannabinoid receptors in the brain, their natural role or what processes this system was evolved to regulate is still not known. My research will determine if cannabinoid receptors in the basolateral amygdala, a brain region that promotes behavioral responses necessary for survival, have the ability to regulate fundamental brain processes necessary for survival.
The broader impacts of my research will aid in understanding the neurobiological role of cannabinoid receptors in the brain and how they function to ensure proper sensory information processing. If information is not being processed correctly, the organism would not have correct behavioral responses to promote survival.
Anne-Sophie Mancha, PhD student, Biomedical Engineering
Optical Metabolic Imaging of Biomimetic 3D In Vitro Models for Predicting Drug Response in Pancreatic Cancer Patients
My research aims to construct in vitro pancreatic cancer models that replicate the native stromal stiffness and collagen architecture with bio-relevant extracellular matrix components. This has the potential to improve the biomimicry of engineered pancreatic cancer models to help understand cancer progression mechanisms for the future development of novel treatments.
As Outreach Chair for the UW SPIE/OSA Student Chapter, I helped organize and led in the monthly Saturday Science series and Rural Summer Science Camp at the Morgridge Institute for Research, teaching students and the community about optics and fundamental biomedical research techniques. I was also lucky enough to help participate in the Pancreas Cancer Task Force, striving to help promote and fund pancreatic cancer research. Ultimately, I want to be a role model by continuing in leadership roles of outreach events in the hopes of increasing the representation of Hispanic women in engineering.
Arvin Raj Mathur, PhD student, Anthropology
Biomolecular Investigations of Pottery Use in the Indus and Oman
This project investigates pottery use and trade in the Indus Tradition of South Asia and the Umm an-Nar culture of Oman through the application of Organic Residue Analysis and other methods to archaeological pottery from Pakistan, India, and Oman.
This research seeks to understand the use and transportation of natural products in South Asia and Oman and to expand the methodology of organic residue analysis through systematic experimentation on natural products from South Asia and the Arabian Peninsula.
Sarah McCarthy, PhD student, Physics
This project aims to enhance IceCube’s sensitivity by better characterizing the optical properties of Antarctic ice by utilizing Pencil Beams, laser-like LED lights. To do so, I will define a measurement program for the Pencil Beams and design test setups to fully characterize the light output before deployment to the South Pole and installment in the detector.
The IceCube Collaboration is also actively upgrading the detector, which will allow researchers to re-analyze old data that may contain new information that can only be unearthed with increased sensitivity from these new ice models and calibration information. Refining the ice model is a necessary component of increasing IceCube’s sensitivity to new physics and will leave a lasting impact on the collaboration’s work.
Kate McGinn, PhD student, Wildlife Ecology
Physiological and Demographic Consequences of Climate Change in California Spotted Owls
I study the impacts of warming temperatures and variable precipitation on an important species in the Sierra Nevada ecosystem, using metabolic and demographic rates as indicators of individual fitness and population viability. This work will inform predictive models of climate refugia for the species under different emission scenarios.
I aim to develop workshops on the impacts of climate change for middle school students in both California and Madison to push beyond the academic setting and initiate scientific participation in communities that surround my study area and research institution.
Rylie Morris, PhD student, Chemistry
NMR Experiments to Determine Interactions of Receptor Proteins with Peptide Agonists
I currently work with Class B G-protein coupled receptors and synthesize their agonists via solid-phase peptide synthesis. I would like to use Nuclear Magnetic Resonance (NMR) techniques to get dynamic information about the interactions of G-protein coupled receptors with these peptides that activate their signaling pathways. My proposal was to incorporate fluorine into the receptor and agonist to do two-dimensional fluorine NMR. This would allow for a greater understanding of the interactions of the peptide and the receptor with the hopes that this information can influence pharmaceutical development for G-protein coupled receptors.
Megan Nieszala, PhD student, Chemistry
Application of Chromophore Quench Labeling Techniques for Analysis of Heterogeneous Polymerization Catalysts
Ziegler-Natta (ZN) polymerization dominates polyolefin production. The fundamental nature of ZN catalysts is not well understood (i.e. number of active sites). This research proposes the application of chromophore quench labeling (CQL) to ZN catalyst systems to “count” the number of active sites and the mass distribution of catalyst-bound polymer chains present throughout polymerization. The active site counts obtained through this method can be used to determine absolute polymerization rate constants and develop a comprehensive kinetic model for ZN polymerization, a poorly understood, yet widely used industrial process.
This proposal emphasizes the relationship between fundamental chemical research and common consumer products. This connection can be used as a starting point to promote scientific interest among high school students in the community, as well as among consumers. This work also highlights how the mechanistic insights gained through CQL can further lead to positive impacts on the efficiency of energy intensive polymerization processes.
Rahul Parhi, PhD student, Electrical Engineering
Bringing Approximation Theory to Data Science
Approximation theory has always been a field fundamentally tied to computing. As computing has evolved, so has approximation theory. With the emergence of data science as a field, a mathematical understanding of how commonly used models work is vital. This research aims to make connections with classical objects from approximation theory such as splines with, for example, neural networks to gain a theoretical understanding of why these models work in practice.
An open problem in data science is why does deep learning actually work in practice. Although there has been a lot of empirical success with deep neural network models in recent years, a theoretical understanding does not exist. Developing a mathematical theory about (deep) neural network models in terms of simpler objects such as splines would aid in understanding the mysteries of why deep learning actually works.
Aicha Quamine, PhD student, Cellular & Molecular Biology
Bioengineering and Characterization of a Novel Third Generation Anti-GD2 CAR NK Cell
Chimeric antigen receptors (CARs) are synthetic immune cell receptors that are engineered to grant antibody specificity to a particular cell surface antigen. We are utilizing this technology to design a third generation CAR to be expressed in NK cells which will target and kill Disialoganglioside 2 (GD2) positive neuroblastoma cells.
The CAR constructs that are currently used in NK cells have yet to show potent activity against solid tumors like neuroblastoma. Successful completion of this proposal will create a foundation for the advancement of CAR NK technology, informing approaches to bioengineering NK cells and potentially advance a complementary approach to CAR T cells for treating solid tumors.
Anika Rice, MS student, Geography
Gender and Migration in Guatemalan Agroecosystems
I am studying the long-term social and environmental effects of climate change and rural out-migration on Guatemalan agroecosystems, using a feminist political ecology lens.
My research advances our understandings of the links between migration, gender, and peasant farming, while developing agroecological policy changes and enhancing cross-cultural research and education infrastructure. It will reveal which factors lead to heightened farmer vulnerability and out-migration, and which to increased social and ecological resilience.
Rebecca Roembke, PhD student, Mechanical Engineering
As humans age, their gait begins to change with them. Older adults start walking with increased hip work and reduced ankle work. It is largely unknown why this happens, but we hope to continue to investigate and understand this phenomenon specifically by using load carriage and changes to the sensation threshold.
This research has the potential to help us understand what avenues of treatment we could pursue to help restore older adults’ gait back to that of a healthy young adult.
Trevor Seets, PhD student, Electrical Engineering
Ultra-Fast and Low-Light Imaging with Single-Photon Sensors
Single photon sensors are an emerging light sensor with the unique ability to detect individual photons with extremely high timing accuracy. My research focuses on developing algorithms to exploit the unique data given by these new sensors for imaging applications.
This unique approach of using timing information from single photon sensors has the potential to solve many problems with conventional image systems such as removing motion blur and the inability to image things in low light conditions. This research has numerous applications in science and industry, such as robotics, computer vision, and consumer photography.
Joseph Skarlupka, PhD student, Microbiology
Correlating Host Genetic Markers in Holstein Dairy Cows to the Ruminal Microbiota and Phenotypic Traits
The rumen microbiota has a significant impact on milk production efficiency in dairy cows. The ability to select for a microbial community that confers higher milk production efficiency would have a significant impact on the dairy industry’s carbon footprint. I will perform a genome-wide association study (GWAS) to identify correlations between host genetic markers and the rumen microbial community within the context of milk production efficiency in an effort to improve dairy performance.
It has not been established what host genomic features influence the symbiotic ruminal microbial community in dairy cows. My study explores these interactions and will aid in the discovery of potential microbial taxa associated with host genetic markers that can be selected to improve milk production efficiency. The data generated from this project will be invaluable for the development of tools that can guide breeders and dairy scientists to select for the rumen microbiota as a trait.
Paul Slaughter, Undergraduate student, Mechanical Engineering
This project proposes using wireless motion capture technology to track the movements of female ultimate frisbee players during competitive games. Using this data, high risk maneuvers will be detected and modeled, yielding muscle and tendon mechanics. This research will provide the biomechanical knowledge needed for trainers to recommend exercises specifically for preventing ACL injuries in female ultimate players.
Madeline Smerchansky, PhD student, Biomedical Engineering
Engineering the Multicellular Niche for iPS-T Cell Biomanufacturing
My research aims to characterize and model cell-cell communication during T cell differentiation, informing the genetic engineering of a multicellular niche for the manufacture of induced pluripotent stem cell (iPSC) derived T cells. Using systems and synthetic biology approaches, I propose to model the changes in cell-cell interactions under perturbations, and manipulate important signaling pathways to develop “off the shelf” immunotherapies.
The development of stem cell derived T cells has the potential to vastly expand the availability of immunotherapies, especially for chimeric antigen receptor (CAR) T cancer therapy. Additionally, this technology can be expanded to identify, model and engineer multicellular niches for differentiation and manufacture of other cell types, enabling the development of “off the shelf” cell therapies.
Mackinsey Smith, PhD student, Chemistry
Mechanistic Study of a Crabtree’s Catalyst Analog Using Single-Molecule Spectroscopy
The hydrogenation of unfunctionalized alkenes is a basic and important reaction in synthetic organic chemistry research with broad and numerous applications in industry. Due to its efficient hydrogenation of even tetra-substituted unfunctionalized alkenes, there is significant interest in Crabtree’s catalyst. However, the catalyst is deactivated through formation of polynuclear clusters. If the dynamics of this deactivation were better understood, variants on the catalyst could be designed for increased longevity while retaining the efficiency of the original complex. I proposed using fluorescence microscopy to observe and characterize the stoichiometry and formation of polynuclear clusters of a Crabtree’s catalyst analog at the single-molecule level and the dissociation of these clusters upon addition of alkene substrate.
Laura Stegner, PhD student, Computer Science
Computational Methods for Domain Expert Customization and Personalization of Human-Robot Interactions
The goal of my graduate research is to focus on the challenges posed by diverse deployment environments for a specific robot. The result will be a programming environment for the domain expert to make adjustments to the robot in the field.
A system designed for personalization and customization will lower the barrier of entry for robotics use, allowing people of varying backgrounds to effectively deploy a robot that is customized to meet their specific needs. The personalized robot will also provide a more welcoming and inclusive environment to people in different cultures or people with different abilities who interact with it.
Isabelle Tigges-Green, BS '19, Chemistry and Spanish (Current: Faculty Assistant and Chemistry Outreach Specialist, UW Department of Chemistry)
This project studies 2D materials functionalization, primarily applied toward graphene, but with the possibility of applying the technique toward any 2D material functionalization.
By accomplishing a more general method of functionalization, the applications of 2D materials can be broadened.
Jessica Turner, MS student, Environment and Resources
Stream pCO2 as a Proxy for Net Ecosystem Exchange of CO2 in Wetlands.
Exact measurements of wetland net ecosystem exchange of CO2 are challenging to obtain, yet critical to understand ecosystem service benefits and resolve uncertainty in the global Carbon cycle in which wetlands play a significant part. My aim is to research the relationship between pCO2, net ecosystem exchange of CO2, and other atmospheric variables to determine its potential as a new, inexpensive way of estimating gas exchange.
A stream CO2 probe is one-tenth the price of the equipment currently required to measure net ecosystem CO2 exchange. Discovering reliable alternative ways of measuring gas exchange in wetlands has the potential to advance knowledge of these crucial ecosystems at a much quicker pace, and broaden data collection throughout the rest of the world.
Soleil Young, PhD student, Microbiology
Characterizing Genomic Responses to Ant Domestication in a Basidiomycete Fungus
Leaf-cutting ants engage in an obligate mutualism with a Basidiomycete fungus, Leucoagaricus gongylophorus, which they cultivate as a food source. The ants provide fresh plant substrate to L. gongylophorus, and subsequently feed on the fungus. My research examines how domestication has affected the genomic structure of L. gongylophorus and its ability to sexually reproduce.
The fungus-farming ant system has many parallels with human agriculture, as the ants cultivate a monoculture crop that is polyploid. Knowing how L. gongylophorus has responded genetically to domestication will inform understandings of the evolution of human crop plants and the evolution of animal-microbe symbioses more broadly.
Madison Youngblom, PhD student, Microbiology
Defining the Niche of Staphylococcus saprophyticus
S. saprophyticus is a Gram-positive bacterium found in diverse environments including soil and freshwater, meat and dairy foods. It is also a cause of urinary tract infections (UTIs) in humans, and mastitis in cattle. I propose to develop a comparative genomics approach to identify the genetic basis of S. saprophyticus adaptation to environmental, food, animal, and human niches and experimentally characterize putative niche-specific loci.
Microbial communities of humans and animals interact in ways that we are just beginning to understand. A better understanding of how microbes adapt and switch between human, animal and agricultural environments has the potential to improve the safety and quality of food, and to improve the health of humans, animals and their shared environments.
Of about 12,000 applicants nationally, 2,050 received awards in the 2019 competition, including 40 UW–Madison students. Another 29 UW–Madison students were given honorable mentions.
The 2019 UW–Madison awardees are:
- Theodore Agbi, PhD student, Chemical Engineering
- Shaan Amin, PhD student, Political Science
- Garrett Anstreicher, PhD student, Economics
- Benjamin Bachman, PhD student, Chemistry
- Desia Bacon, PhD student, Psychology
- Connor Blankenship, PhD student, Pharmaceutical Sciences
- Miriam Bohlmann Kunz, PhD student, Chemistry
- Katie Bultman, PhD student, Microbiology
- Joseph Burns, PhD student, Biomedical Engineering
- Mariama Carter, PhD student, Plant Pathology
- Aryel Clarke, PhD student, Biochemistry
- John Crandall, PhD student, Genetics
- Michael Davies, PhD student, Computer Sciences
- Rebekah Dix, BA student, Economics
- Kieran Farrell, PhD student, Chemistry
- Maia Gumnit, PhD student, Comparative Biomedical Sciences
- Mackenzie Hewes, PhD student, Anthropology
- Zena Jensvold, PhD student, Cellular & Molecular Biology
- Conlain Kelly, BS student, Applied Mathematics, Engineering and Physics
- Lauren Laufman, BS student, Astronomy – Physics
- Justin Mabin, PhD student, Cellular & Molecular Biology
- Audrey Marsh, PhD student, Genetics
- Bethany McCarty, PhD student, Chemistry
- Patrick Monari, PhD student, Psychology
- Zachary Morrow, PhD student, Cellular & Molecular Biology
- Kathleen Nickson, PhD student, Chemistry
- Katherine Parrish, PhD student, Chemistry
- Jennifer Peotter, PhD student, Biochemistry
- Bella Reichardt, BS student, Biomedical Engineering
- Daniel Salgueiro, PhD student, Chemistry
- Dylan Schmitz, PhD student, Mechanical Engineering
- Katherine Senn, PhD student, Biochemistry
- Emily Setton, PhD student, Zoology
- Thomas Shannon, BS student, Environmental Studies and English
- Trevor Simmons, BS student, Chemical Engineering
- Seth Spawn, PhD student, Geography
- Julia Thomas, PhD student, Sociology
- Nathan Wang, BS student, Chemical Engineering
- Brian Weaver, PhD student, Biophysics
- Meng Xu, PhD student, Chemistry
In total, the NSF named 2,000 students as recipients of 2018’s GRFP awards, selected through peer review process from over 12,000 applicants.
The twenty-seven UW-Madison awardees are:
- Tesia Janicki, PhD student, Chemistry
- Edna Chiang, PhD student, Microbiology
- Juan Camilo Bohorquez, PhD student, Physics
- Benjamin Gastfriend, PhD student, Chemical Engineering
- Audrey Evans, PhD student, Electrical Engineering
- Michael Aristov, PhD student, Chemistry
- Mitchell Ledwith, PhD student, Cellular & Molecular Biology
- Stephanie Blaszczyk-Beasley, PhD student, Chemistry
- Curran Gahan, PhD student, Chemical Engineering
- Delia Scoville, PhD student, Biochemistry
- Kristin Brunk, MS student, Wildlife Ecology
- Bryan Lakey, PhD student, Genetics
- Nathan Murray, PhD student, Biochemistry
- Katherine Mueller, PhD student, Cellular & Molecular Biology
- Aidan McKenzie, PhD student, Biochemistry
- Natalie Duncombe, PhD student, Economics
- Camilo Machuca, PhD student, Astronomy
- Christopher McAllester, PhD student, Genetics
- Jhewelle Fitz-Henley, PhD student, Pharmaceutical Sciences
- Gabriela Negrete-Garcia, BS Degree, Chemistry
- Kiersten Haffey, undergraduate, Biomedical Engineering
- Emily Jewell, undergraduate, Engineering Mechanics
- Hunter Johnson, undergraduate, Biomedical Engineering
- Celeste Keith, General Course – BS Degree
- Taylor McKenna Marohl, undergraduate, Biomedical Engineering
- Lucas Oxtoby, BS Degree, Chemistry
- Elizabeth Rose Penn, undergraduate, Geological Engineering
In total, the NSF named 2,000 students as recipients of 2017’s GRFP awards, selected through peer review process from over 13,000 applicants.
The twenty-one UW-Madison awardees are:
- Bayleigh Benner, PhD student, Microbiology
- Brian Carrick, PhD student, Biochemistry
- Patrick Cervantes, PhD student, Cellular and Molecular Biology
- Julie Davis, PhD/Master’s student, Astronomy
- Alexandra DiNicola, PhD student, Botany
- Leah Escalante, PhD student, Genetics
- Christine Isabella, PhD student, Biochemistry
- Taylor Keding, PhD student, Neuroscience
- Jesse Kidd, PhD student, Chemistry
- Samantha Knott, PhD student, Chemistry
- Elizabeth Laudadio, PhD student, Chemistry
- Nicole Piscopo, PhD student, Biomedical Engineering
- Paige Piszel, PhD student, Chemistry
- Kyle Robinson, PhD student, Biochemistry
- Taylor Scott, PhD student, Cellular and Molecular Biology
- Matthew Styles, PhD student, Chemistry
- Edwin Suarez-Zayas, PhD student, Neuroscience
- Sydney Thomas, PhD student, Cellular and Molecular Biology
- Daniel Vigil, BS student, Chemical Engineering
- Thejas Wesley, BS student, Chemical Engineering
- Randee Young, PhD student, Genetics