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Neel Moudgal

Neel Moudgal

2022 Davidson Fellow
$25,000 Scholarship

Age: 16
Hometown: Saline, MI

Science: “Using Unassigned NMR Chemical Shifts to Model RNA Secondary Structure”

About Neel

My name is Neel Moudgal. I am a 16-year-old rising senior at Saline High School in Saline, Michigan. I live with my parents, grandparents, and two dogs, Hudson and Sienna. I love spending time with my family and enjoy traveling, reading, and collecting rocks, coins, and stamps.

I hope to major in biophysics and statistics in my undergraduate studies and eventually pursue a career in medicine and research. My goal is to conduct translational research and develop treatments “from bench to bedside,” working in a laboratory to devise cures for diseases and working with patients to deploy these treatments. I feel that this would put my passion for research to use to benefit others.

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"I am deeply honored to have been selected to be a 2022 Davidson fellow. To me being a Davidson fellow speaks to creativity, passion, and tenacity. I am excited to meet the other like-minded 2022 fellows, and develop lasting connections. In the future, I hope to mentor other young scholars and inspire them to reach for the stars."

Project Description

In the field of biology, the function of every molecule is determined by its structure. Recent discoveries have shown us that numerous cellular functions are controlled by RNAs, and it has been found that abnormal RNA structures have been linked with various diseases, including lupus and certain cancers. Unfortunately, understanding the structure of RNA has been a difficult task due to the limitations in equipment and computational power and remains a major challenge in biophysics. My project focused on developing a new platform that can predict the structure of various RNA molecules rapidly with easily available data, thus allowing researchers the opportunity to develop novel treatments.

Deeper Dive

Cancer, lupus, and coronary artery disease are all conditions that plague humanity. A common thread underlying all these conditions is the need for improved diagnostic and therapeutic tools to combat these and many other disease states. RNA structural prediction tools are an exciting platform that can be used for this purpose. Several of the currently available RNA structural prediction tools require assignment in the chemical shift data collected from nuclear magnetic resonance (NMR) spectroscopy. That is, they require chemical shift values to be assigned to each atom in a given molecule, a tedious and often impossible process which creates a significant roadblock in this arena. I wanted to find a solution to this problem by developing a platform that surmounted this significant impediment. In addition, the truly interdisciplinary nature of my project, which combined biology, chemistry, physics, and statistics, was a huge draw for me.

I started working on my project with my mentor, Dr. Aaron Frank, shortly before the summer of 2020 and continued working on this project over the next year and a half. The project involved science that I had not been taught in high school, so I relied on academic papers to learn the required material. One of the most exciting parts of the project was to learn the new material and actively apply it. Dr. Frank provided me with a lot of reading material and met with me frequently to help me gain a deeper understanding of the material. During my time working on this project, I had a heavy course load, which made it difficult to find time in my busy schedule to work on my project. I handled this problem by setting aside time each week for dedicated work on the project, and this served as a key factor in maintaining momentum. The COVID-19 pandemic resulting in the closure of the lab was another barrier to moving forward at a fast pace. While Zoom, Slack, and other platforms helped connect me with lab members, the inability to simply walk up to people for a quick clarification or feedback on an idea felt limiting. Once my lab reopened in the summer of 2021, I was able to collaborate in real time with others in the lab. I worked closely with Truman Xu, another of my mentors, who helped me understand the intricacies of the pandas data manipulation package in Python so that I could use that knowledge to write code for my project.

After about one and a half years of work, we were successful in developing a platform that can rapidly and accurately predict the secondary structure for RNA molecules using only unassigned chemical shift data. Our platform promises to greatly expand the scope of RNA structural prediction and will allow us to achieve one of the most important goals in the biosciences: to gain a predictive understanding of the function of living cells. Our methods can help predict the structure and behavior of RNA molecules in both physiological as well as pathological states and as a result, this platform has the potential to greatly increase our understanding of the molecular and cellular processes that underlie human diseases. The tool that we developed will afford researchers the opportunity to work rapidly with RNA molecules in emerging pathogens, such as SARS-CoV-2 and other viruses, and help them develop effective responses more expeditiously. In addition, given that our methods use only readily available, unassigned chemical shift data to predict the structural properties of an RNA molecule, researchers using this platform could greatly cut down on the astronomical costs associated with drug development, thus making treatments affordable for all.


What is one of your favorite quotes?

“Discovery consists of seeing what everybody has seen and thinking what nobody has thought.” – Albert von Szent-Györgyi

What is your favorite tradition or holiday?

During Christmas, my mom and I love to trim the tree with ornaments we collected during our travels.

If you could have dinner with the five most interesting people in the world, living or dead, who would they be?

It is hard to restrict myself to just five, but the five people I would most likely have dinner with are Peter Mitchell, Stephen Hawking, M.C. Escher, Srinivasa Ramanujan, and Marie Curie.

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In The News

Saline, Mich. – The Davidson Fellows Scholarship Program has announced the 2022 scholarship winners. Among the honorees is 16-year-old Neel Moudgal of Saline. Moudgal won a $25,000 scholarship for his project, Using Unassigned NMR Chemical Shifts to Model RNA Secondary Structure. He is one of only 21 students across the country to be recognized as a 2022 scholarship winner.

Download the full press release here