Meet Our Past Interns - 2020

  • Biodiversity and Conservation
  • Bruce, Janaya ’21

    Molecular Biology
    PROJECT

    Zooxanthellae Community Composition in Hawaiian Coral Reefs

    ORGANIZATION / LOCATION

    Gates Coral Lab, Hawai‘i Institute of Marine Biology

    MENTOR(S)

    Robert Toonen, Professor, Hawai‘i Institute of Marine Biology, University of Hawai‘i at Manoa; Mariana Rocha de Souza, Ph.D. candidate, Hawai‘i Institute of Marine Biology, University of Hawai‘i at Manoa

    Certificate(s): Environmental Studies

    My goal was to determine if environmental conditions influence the composition of the symbiotic single-celled plankton known as Zooxanthellae in two species of coral. My internship focused on using bioinformatics to analyze NextGen DNA sequences and determine the species of Zooxanthellae present in each of the coral samples. I used various bioinformatics software — in addition to creating my own programs — designed to isolate characteristic regions of DNA from the Zooxanthellae genome and compare them to existing databases. The results showed differences in Zooxanthellae community composition based on coral species and the depth of collection, but only partial differences based on location. These results provide insight into the susceptibility of certain coral reefs to climate change and warming ocean temperatures because different Zooxanthellae species can provide coral with greater resilience against temperature fluctuations. This internship helped me develop a strong knowledge of computer programming and bioinformatics, as well as understand the complexities of marine conservation. I am continuing to work with the Gates Coral Lab for my senior thesis. I also realized my interest in a conservation-based career, and I plan on pursuing a graduate degree in the field of marine conservation.

     

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  • Dalehite, Willow ’22

    Ecology and Evolutionary Biology
    PROJECT

    Nestling Feeding Behavior and Adult Interactions in a Cooperatively Breeding Bird

    ORGANIZATION / LOCATION

    Riehl Lab, Department of Ecology and Evolutionary Biology, Princeton University

    MENTOR(S)

    Christina Riehl, Assistant Professor of Ecology and Evolutionary Biology; Amanda Savagian, Ph.D. candidate, Ecology and Evolutionary Biology

    I studied nestling provisioning behavior in a population of greater anis in Panama. These birds are unique for being cooperative breeders, meaning that two or more breeding pairs lay their eggs in the same nest and jointly care for their offspring. My research aimed to help better understand the dynamics of this breeding system and the factors that might influence those dynamics. I watched nest-camera footage of adults feeding nestlings and collected data on prey allocation between nestlings, nestling begging behavior, and instances of adult conflict (when multiple adults handle a single prey item during a feeding event). I designed a project for which I investigated the factors that might lead to adult conflict, as well as the effects this behavior might have on prey allocation and provisioning rates. I learned a lot about breeding behavior in greater anis, as well as how to develop effective questions, hypotheses and data collection methods. I gained a lot of insight into academic ecological research from the great experience I had, and I hope to continue to study questions in behavioral ecology in the future.

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  • Duggal, Keenan ’23

    Molecular Biology
    Keenan Duggal 2020
    PROJECT

    Go to the Ant Thou Sluggard, Consider Her Ways Be Wise: Buffelgrass Seed Preferences, Predation and Dispersal in the Kenya Home Range by Messor Harvester Ants

    ORGANIZATION / LOCATION

    Mpala Research Centre

    MENTOR(S)

    Dino Martins, Executive Director, Mpala Research Centre; Ivy Ng’iru, Scientific Researcher, Mpala Research Centre

    I worked to further our understanding of harvester ant ecology with a particular focus on the ants’ preferences for the seeds of different grass species. Ideally, the data we collected will help determine whether harvester ants situationally help or hinder buffelgrass, a dry perennial grass that is an invasive species in the Southwestern United States. We designed a series of experiments that tested for preferential selection in different seed groupings. For each experiment, the field team took site pictures at multiple time points and sent them to me to analyze remotely. I later organized the data into charts and performed an ANOVA statistical significance test, which concluded that one or more of the seeds were being selected at a higher rate. More data will be needed to ultimately answer the buffelgrass question. In addition to vastly increasing my knowledge of harvester ants, this experience taught me valuable lessons in organization, data collection and patience. Most importantly, I experienced the value and meaningfulness that field research can have.

  • Kummel, Misha ’22

    Ecology and Evolutionary Biology
    PROJECT

    Climate Change, Plant-Pollinator Interactions and Hummingbird Color Vision in the Rocky Mountains

    ORGANIZATION / LOCATION

    Stoddard Lab, Department of Ecology and Evolutionary Biology, Princeton University

    MENTOR(S)

    Mary Caswell Stoddard, Assistant Professor of Ecology and Evolutionary Biology

    I studied broad-tailed hummingbird behavior using data collected at the Rocky Mountain Biological Laboratory (RMBL). The project’s overarching goal is to better understand hummingbird pollination behavior and how it is affected by climate-driven changes in flower phenology. This summer, our team sought a clearer picture of which flowers hummingbirds visit during the season. I looked through thousands of camera-trap photographs to extract photos of hummingbirds visiting flowers. This allowed the team to determine hummingbird visitation rates at various flower species. I also carried out a thresholding analysis, which will allow the team to reduce the number of photographs that have to be manually inspected for data processing and analyses. Finally, I worked with another researcher at RMBL on a collaborative project for the team. Overall, I learned a lot about hummingbird behavior and flower phenology, gained valuable new data processing/analysis skills, and really connected with the members of my research group. This experience has inspired me to continue my current academic path and provided me with an invaluable mindset and skills for my independent work and beyond.

    * This internship is connected to the HMEI Climate and Energy Grand Challenges project, “Investigating the Effects of Climate Change on Hummingbird Sensory Landscapes.”

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  • McLaughlin, Katie ’23

    Computer Science
    PROJECT

    Responses of Corals to Temperature Changes That Reflect the Large Seasonal Temperature Range of Bermuda (20-28ºC)

    ORGANIZATION / LOCATION

    Bermuda Institute of Ocean Sciences (BIOS)

    MENTOR(S)

    Yvonne Sawall, Assistant Scientist, BIOS

    I investigated how two coral species common to Bermuda adjust to naturally occurring temperature fluctuations. It is crucial to understand the mechanisms and capacities of physiological adjustment to gain insight into the ability of organisms to cope with climate change. I analyzed data from a temperature-manipulation experiment and identified patterns on thermal adjustments. I wrote Python scripts to extract, perform calculations on, and graph large volumes of data. I then analyzed trends in metabolic rates, the density of Zooxanthellae (photosynthetic symbiotic algae), pigment concentrations, and biomass over a temperature-reduction and acclimatization period. We are finalizing a paper for submission to a peer-reviewed journal that summarizes our questions and findings. This opportunity allowed me to further build my experience with popular tools used by data scientists and other professionals in my major and to learn more about coral biology. My internship also encouraged me to further explore the application of computer science and technology to environmental issues.

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  • Reeves, Camille ’23

    Astrophysics
    PROJECT

    Teaching Assistant for Conservation Clubs

    ORGANIZATION / LOCATION

    Rubenstein Group, Department of Ecology and Evolutionary Biology, Princeton University; Mpala Research Centre

    MENTOR(S)

    Daniel Rubenstein, Class of 1877 Professor of Zoology, Professor of Ecology and Evolutionary Biology

    The Northern Kenya Conservation Clubs (NKCC) work in conjunction with the Mpala Research Centre to teach primary and secondary students about their natural environment through experiential learning. Though COVID-19 changed our work, we provided students with engaging content that can be used virtually or in-person for years to come. Our work included creating the Reading Corner, a collection of storytime-style videos featuring books about the natural environment, as well as creating lesson plans concerning various environmental topics to be used once in-person classes can safely resume. Because I was working with NKCC remotely and with limited resources, I was able to refine my skills in preparedness and resourcefulness. The most exciting result of our work was being told that our Reading Corner videos would be featured on Kenyan national television — which is being used for remote teaching during the pandemic — as supplemental content between lessons. Working with NKCC has cemented my lifelong love for teaching and education, and it has encouraged me to look further into Princeton’s Program in Teacher Preparation.

  • Remez, Elena ’23

    School of Public and International Affairs
    Elena Remez
    PROJECT

    Teaching Assistant for Conservation Clubs

    ORGANIZATION / LOCATION

    Rubenstein Group, Department of Ecology and Evolutionary Biology, Princeton University; Mpala Research Centre

    MENTOR(S)

    Daniel Rubenstein, Class of 1877 Professor of Zoology, Professor of Ecology and Evolutionary Biology

    Certificate(s): Environmental Studies, Gender and Sexuality Studies

    The Northern Kenya Conservation Clubs (NKCC) teach children about the environment and their responsibility to take care of nature. Because the program was moved online, we focused on developing a virtual “library” of stories read aloud by me, my fellow intern, Camille Reeves, and our adviser. For the majority of the summer, I worked to develop a template for the videos, including a small animation of the NKCC logo. Next, I worked on editing the recorded videos and adding comprehension questions that linked back to the NKCC curriculum. Working with the NKCC increased my video production skills and general knowledge of Kenya. We got to listen to local community leaders speak daily about the research and programs they have developed. It was amazing to hear research from such a different environment than Princeton. Prior to starting this internship, I wanted to pursue a certificate in gender and sexuality studies. After this experience, I have realized that I want to make sure my gender and sexuality classes are not primarily American-focused, and that I obtain a greater worldview of gender and sexuality.

  • Reynolds, Hannah ’22

    Anthropology
    PROJECT

    Indigenous Language, Culture and Land Use in Southeast Alaska: Rethinking Environmental Justice in America’s Climate Forest

    ORGANIZATION / LOCATION

    HMEI Environmental Scholars Program, Princeton University

    MENTOR(S)

    Christiane Fellbaum, Lecturer with the Rank of Professor in the Council of the Humanities, the Program in Linguistics, and Computer Science

    Certificate(s): Environmental Studies

    I studied the connections between Indigenous language, culture and land use in Southeast Alaska, primarily by conducting surveys and interviews in the region. I also engaged in participant observation by partaking in traditional Alaska Native celebrations and language classes, as well as working with local conservation groups in lobbying for the protection of Tongass National Forest. The goal of this project was to rethink how environmental justice efforts can be tailored to fit the specific needs of Alaska Native communities that have lived and depended on the land for as long as 10,000 years, rather than simply focusing on conservation. Throughout this project, I gained a lot of useful skills in lobbying and writing op-eds, as well as in conducting original research in a virtual setting. Because I am interested in working in environmental policy after graduation, one highlight of my summer was speaking with two members of the U.S. House of Representatives about the issues I studied. I loved the chance to connect with people and hear their stories, and I hope to maintain these relationships in the future.

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  • Rodriguez, Jamie ’23

    School of Public and International Affairs
    PROJECT

    Wild About Wild Horses: What Does the Public Know and How Does It Know It?

    ORGANIZATION / LOCATION

    Rubenstein Group, Department of Ecology and Evolutionary Biology, Princeton University

    MENTOR(S)

    Daniel Rubenstein, Class of 1877 Professor of Zoology, Professor of Ecology and Evolutionary Biology

    I studied how visitors to North Carolina’s Shackleford Banks learn about the island’s wild horse population. The horses have inhabited the island for centuries and are protected and managed by the U.S. National Park Service. Though the Park Service educates visitors about the horses through pamphlets, exhibits and tours, we wanted to quantify the educational value of having firsthand encounters with the animals. With the assistance of Professor Rubenstein, I helped design and administer a survey that measured the educational outcomes of visitors’ experiences with the Shackleford horses. My work consisted of creating survey questions that minimize bias, developing methods of delivery that mitigate viral transmission, and soliciting responses in the field. My experiences exposed me to a unique intersection of social science and ecology, prompting my interest in the planning and design of public spaces.

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  • Singhal , Nishant ’23

    Operations Research and Financial Engineering
    Nishant Singhal_2020
    PROJECT

    Reconstructing Earth’s First Reefs and Their Impacts on the Cambrian Explosion

    ORGANIZATION / LOCATION

    Maloof Research Group, Department of Geosciences, Princeton University

    MENTOR(S)

    Adam Maloof, Professor of Geosciences; Ryan Manzuk, Ph.D. candidate, Geosciences

    My focus was on modeling and analyzing the structure of prehistoric sponge-reef fossils to determine the role these reefs played in the Cambrian explosion, the period more than 500 million years ago when multicellular animals began appearing on Earth. I segmented images of fossil cross sections to produce training data for a convolutional neural network, which allowed us to turn fossil samples into digital 3D models of reefs. I also wrote code in MATLAB software that allowed us to trace reef branches across different cross sections of a fossil sample. This capability let us quickly analyze basic structural properties such as branching angle, which is crucial for understanding how these reefs contributed to the evolution of marine life. During my internship, I improved my coding and data skills and developed a greater awareness of the Cambrian Period. I also deepened my understanding of the research process and how I can approach and structure problems in the natural sciences.

  • Torrens, Kai ’22

    Physics
    PROJECT

    The Effects of Large Carnivore Reintroduction on Antelope, Birds and Parasites in Gorongosa National Park

    ORGANIZATION / LOCATION

    Pringle Lab, Department of Ecology and Evolutionary Biology, Princeton University

    MENTOR(S)

    Robert Pringle, Associate Professor of Ecology and Evolutionary Biology; Matthew Hutchinson, Ph.D. candidate, Ecology and Evolutionary Biology

    Certificate(s): Applied and Computational Mathematics

    I studied two ecological puzzles in Gorongosa National Park in Mozambique. As wildlife recovered from the Mozambican civil war, a single species of antelope known as waterbuck experienced huge population growth. I helped the Pringle Lab investigate how this population growth impacted waterbuck ecology by analyzing camera-trap videos to determine the variation in waterbuck foraging rates across habitat. Secondly, it is suspected that nyala and bushbuck — two largely forest-dwelling antelope species — compete for the same resources as waterbuck and that nyala generally outcompete them. With guidance from the lab, I used camera-trap data to start building an occupational model of the spatial overlap of these two species and dietary data from DNA metabarcoding to investigate the overlap of their diets. I gained a working knowledge of the R programming language, familiarity with a broad range of data types, and vastly expanded my confidence in my ability to explore literature and understand scientific papers. The Pringle Lab is incredibly welcoming and a fantastic group of people. I feel lucky to have worked with them, and I hope to keep working on these problems with them going forward!

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  • Ulrich, Devon ’23

    Computer Science
    PROJECT

    Reconstructing Earth’s First Reefs and Their Impacts on the Cambrian Explosion

    ORGANIZATION / LOCATION

    Maloof Research Group, Department of Geosciences, Princeton University

    MENTOR(S)

    Adam Maloof, Professor of Geosciences; Ryan Manzuk, Ph.D. candidate, Geosciences

    My internship focused on analyzing fossils from the Cambrian explosion, a period in Earth’s history marked by an enormous increase in new species and overall biodiversity as complex life forms first evolved and spread. Not much is known about why it took place, however, and its origins and causes are still largely unexplained. The Maloof Research Group is investigating the importance of oceanic reefs in the development of life during the Cambrian explosion. My primary goal was to create a computational method for analyzing fossilized shell samples obtained from an ancient Cambrian reef. I used machine learning and computer vision algorithms to automatically categorize each sample into different types of rock. I also created MATLAB programs to automatically search through our images and identify shells with the help of machine learning models. This was a really great hands-on introduction to computer vision and data science, and I learned about programming in MATLAB using different machine learning algorithms and analyzing digital images. I will definitely explore more opportunities in computer vision and data science.

  • Vasen, Samuel ’23

    Ecology and Evolutionary Biology
    PROJECT

    Reserve and Forest Restoration Study

    ORGANIZATION / LOCATION

    The Watershed Institute

    MENTOR(S)

    Steve Tuorto, Director of Science and Stewardship, The Watershed Institute

    For my internship, I worked on a detailed forestry survey of over 1,000 acres of preserved land at The Watershed Institute, a land and water conservation organization in New Jersey. The goal of my project was to translate the survey’s significant data set into accessible metrics on the health and composition of distinct sections of the forest. I worked with my mentor to analyze and extract relevant data points that reflected forest health. I compiled these data into interactive layers on a digital map using a geographic information system (GIS) program. My final product was an interactive website embedded with this map that functions as a tool to help The Watershed Institute ascertain forest health and composition. From this project, I gained substantial analytical skills and a strong command of GIS mapping software. I found the open-ended and creative side of this project very engaging. Working with an organization like The Watershed Institute has increased my drive to do more work in conservation.

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  • Climate and Environmental Science
  • Baskind, Abigail ’22

    Geosciences
    PROJECT

    Metabolic Pathways of “Microbial Dark Matter” Found in Thawing Siberian Permafrost

    ORGANIZATION / LOCATION

    Geomicrobiology Group, Department of Geosciences, Princeton University

    MENTOR(S)

    Tullis Onstott, Professor of Geosciences; Renxing Liang, Postdoctoral Research Associate, Geosciences

    The recently defined phylum of Candidatus Coatesbacteria remains underexplored due to the limited number of metagenome-assembled genomes (MAGs) that originate from deep-sea hydrothermal vent and hot-spring sediments. Deep metagenomic sequencing has recovered two high-quality MAGs from ancient marine sediment collected from Siberia in conjuction with the Onstott Lab. My analysis of these MAGs revealed that they belong to the Coatesbacteria phylum, thus expanding the genomic diversity of this Candidatus phylum. I also calculated the MAGs’ amino acid identities and found that their low average value compared to previously published Coatesbacteria MAGs suggest that the MAGs might be phylogenetically novel at the sub-phylum level. The two permafrost MAGs are closely related to each other and a likely misclassified Zixibacteria MAG. Annotation of the permafrost MAGs showed the bacteria to be anaerobes. The identification of glycolysis and gluconeogenesis, and of the pentose phosphate pathway, suggested the genetic potential for heterotrophic carbon metabolism. Furthermore, these novel bacteria appear to be capable of ethanol metabolism, butyrate fermentation and beta-oxidation of fatty acid. Pangenome analysis of Coatesbacteria-related MAGs from permafrost and non-permafrost sediment sampled from geographically different regions could provide further insight.

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  • Bethel-Brescia, Chaz ’22

    Computer Science
    PROJECT

    Tracking the Expansion of Corrosive Waters in the Global Ocean in Earth System Model Projections

    ORGANIZATION / LOCATION

    Sarmiento Group, Program in Atmospheric and Oceanic Sciences, Princeton University

    MENTOR(S)

    George J. Magee Professor of Geoscience and Geological Engineering, Emeritus, Professor of Geosciences, Emeritus; Graeme MacGilchrist, Postdoctoral Research Associate, Atmospheric and Oceanic Sciences; Sarah Schlunegger, Postdoctoral Research Associate, Atmospheric and Oceanic Sciences

    Certificate(s): Statistics and Machine Learning

    I worked to quantify the pace of migration necessary for calcifying marine organisms to remain within habitable regions. I refined the measurement of climate velocity — which is a metric for how quickly environmental boundaries migrate due to climate change — to provide better insight into when and where organisms will face danger, and how quickly they must adapt. I analyzed 30 Earth system model simulations of the years 1950-2100, focusing mainly on carbonite-ion concentration in seawater. With an improved “escape velocity” calculation, I tracked the movement of the critical undersaturation boundary in which calcifying organisms can no longer build their shells or skeletons, and developed novel ways to visualize that information. I found that calcifying organisms globally and regionally must migrate increasingly quickly over the 21st century, particularly from the early- to mid-21st century in a high-emission scenario. In future investigations, my escape-velocity calculation method will be applied to additional climate stressors. During my internship, I learned about climate modeling, oceanography, managing large data sets and how to navigate the nonlinear research process. I hope to continue investigating current issues with data science through my independent work at Princeton.

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  • Cano Renteria, Emilio ’23

    Civil and Environmental Engineering
    PROJECT

    Detecting Growth Rings in Ancient Giant Ooids

    ORGANIZATION / LOCATION

    Maloof Research Group, Department of Geosciences, Princeton University

    MENTOR(S)

    Adam Maloof, Professor of Geosciences; Bolton Howes, Ph.D. candidate, Geosciences

    Certificate(s): Applications of Computing, Statistics and Machine Learning, Sustainable Energy

    I studied ooids, which are small, sedimentary grains that form in shallow water. Ooids grow through precipitation and shrink through abrasion, so their shapes and sizes vary greatly depending on environmental factors such as ocean chemistry and current velocity. Our goal was to construct three-dimensional models of ancient ooids in order to measure their morphology. These measurements provide insight into ocean conditions throughout Earth’s history, and help us better understand the ocean’s response to climate perturbations. I automated the process of creating 3D models by developing a machine learning algorithm that could independently detect ooids from an image. This process required lots of work removing noise from images, performing segmentations, and extracting shapes from the processed images. I gained substantial experience with the powerful MATLAB programming language by using it to develop all of my code. Moreover, I had the opportunity to work on an original research project that helped prepare me for future independent work at Princeton. This internship was an amazing opportunity and, as a result, I am now pursuing the statistics and machine learning certificate to pursue similar work in the future.

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  • Chen, Linda ’23

    Mechanical and Aerospace Engineering
    Linda Chen 2020
    PROJECT

    Measuring Bathymetry Using NASA’s ICESat-2 in Andros Island, Bahamas

    ORGANIZATION / LOCATION

    Maloof Research Group, Department of Geosciences, Princeton University

    MENTOR(S)

    Adam Maloof, Professor of Geosciences

    The Ice, Cloud, and land Elevation Satellite (ICESat-2) NASA mission measures ice sheet elevation, sea-ice thickness and vegetation canopy to quantify the effects of global warming. The instrument on the ICESat-2 is the Advanced Topographic Laser Altimeter System (ATLAS), a photon-counting lidar that emits six separate laser pulses to the surface of the Earth. I investigated whether the ATLAS instrument can measure the depth of shallow water. I used a depth-measurement model based on optical satellite imagery and direct measurements from northern Andros Island, Bahamas. Developing accurate depth maps on shallow continental shelves is crucial for modeling water and nutrient transport, and for ultimately understanding how sediments accumulate to form a stratigraphic record of Earth’s history. I studied different ATLAS data products and developed an algorithm to extract water depth from noisy photon data. I learned about the engineering of Earth’s satellites and how to extract data using various statistics and clustering algorithms. I also learned how to manipulate large data sets using parallel computing and high-performance computing clusters. After this internship, I would like to hone my skills in data analysis and explore space-technology engineering.

  • Edling, Sean ’22

    Ecology and Evolutionary Biology
    PROJECT

    Global Estuarine Nitrous Oxide Distribution

    ORGANIZATION / LOCATION

    Ward Lab, Department of Geosciences, Princeton University

    MENTOR(S)

    Bess Ward, William J. Sinclair Professor of Geosciences and the High Meadows Environmental Institute; Weiyi Tang, Postdoctoral Research Associate, Geosciences

    Certificate(s): Global Health and Health Policy

    I spent the summer studying the production of nitrous oxide in global estuarine and coastal regions. Nitrous oxide is an ozone-depleting agent with about 300 times the warming potential of carbon dioxide. Measurements of nitrous oxide in global estuaries vary considerably, however, due to environmental and anthropogenic factors. I worked with Weiyi Tang to read, extract, compile and analyze data from 80 published papers covering over 100 estuaries to identify the factors contributing to the variability in global nitrous oxide distribution. After contacting the authors of the published works, we compiled their individual data sets into a central nitrous oxide estuarine database. We then used the data to create a new global estuarine nitrous oxide distribution map. Additionally, the data allowed us to perform correlation analyses between nitrous oxide and other environmental factors on a global scale. Through this internship, I gained skills in data analysis, presentation and communication, and I was introduced to the amazing world of biogeochemistry and environmental science.

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  • Eusebi, Ryan ’22

    Computer Science
    PROJECT

    Investigating the Effects of Warmest Tropical Waters on Hurricane Frequencies

    ORGANIZATION / LOCATION

    Vecchi Research Group, Department of Geosciences, Princeton University

    MENTOR(S)

    Gabriel Vecchi, Professor of Geosciences and the High Meadows Environmental Institute; Wenchang Yang, Associate Research Scholar, Geosciences

    Certificate(s): Applied and Computational Mathematics, Statistics and Machine Learning

    My goal was to build a statistical hurricane model that could predict seasonal hurricane counts in the North Atlantic based on a number of indices. Prior research has shown that these seasonal frequencies can be explained very well using Atlantic Main Development Region sea-surface temperatures (SSTs) and tropical average SSTs. I wanted to find out if the statistical model can be improved using the warmest 30% of SSTs in the tropics instead. After training the statistical model on hundreds of model runs in a variety of different climate scenarios, I found that using those warmer temperatures is in fact more accurate than using the tropical average. I also found that carbon dioxide plays an important factor in hurricane frequencies independent of temperature change. I applied the statistical model to a variety of model forecasts for SST and carbon dioxide for the next century. The ensemble average showed a general decrease in hurricane frequencies beyond 2030. Throughout the summer, I gained a lot of experience in the climate sciences and in data analysis. I thoroughly enjoyed my time and it confirmed my desire to pursue an education and career in atmospheric sciences beyond Princeton.

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  • Lam, Ethan ’23

    Mechanical and Aerospace Engineering
    PROJECT

    Rising Bubbles in Volcanic Chambers

    ORGANIZATION / LOCATION

    Deike Lab, Department of Mechanical and Aerospace Engineering, Princeton University

    MENTOR(S)

    Luc Deike, Assistant Professor of Mechanical and Aerospace Engineering and the High Meadows Environmental Institute; Wouter Moste