Energy UROPs

These students’ projects are generously supported by the Friends of MITEI UROP, which includes MITEI members Shell, ExxonMobil, and Chevron, as well as MITEI donors.

Research projects

MIT Renewable Energy Clinic Sponsor Friends of MITEI UROP

At the MIT Renewable Energy Clinic, we aim to assist all relevant stakeholders in working to mitigate the socio-economic, cultural, environmental, and political impacts of large-scale renewable energy projects by prioritizing equitable development and ensuring the inclusion of diverse perspectives in the planning process, or as described by MIT’s Climate Project missions, empowering frontline communities. My work strives to identify early projects with concerned host communities that could benefit from a neutral and independent facilitation, helping the group reach agreement and joint problem-solve by assisting in the process, including conducting a full-fledged stakeholder assessment. By helping to improve and inform the siting and permitting processes, we accelerate renewable energy projects and help New England work towards a greener, more equitable future.

Advisor

John Parsons, Senior Lecturer, Sloan School of Management; Deputy Director for Research, CEEPR

Direct supervisor

Jungwoo Chun, Graduate Student, Urban Studies and Planning

Research projects

Development of small-scale autonomous boiling experiment platform for decisionmaking & benchmarking Sponsor Friends of MITEI UROP

Currently, delays in experimental testing on the Suva Skid loop have hindered our ability to validate autonomous boiling heat transfer methodologies. To mitigate these delays, our team developed a small-scale, low-cost Suva flow boiling test facility. This setup will allow us to refine optical diagnostics and study boiling mechanisms of the fluid under various operating conditions. By leveraging available components and minimal additional resources, this project will accelerate progress toward our goal of fully automated boiling experimentation. The resulting advancements will not only enhance efficiency in high-temperature systems but also contribute to the broader development of autonomous heat transfer technologies. This will greatly improve the efficiency of boiling systems in nuclear reactors. This will make nuclear energy cheaper, helping the world reach its greater energy goals.

Advisor

Matteo Bucci, Esther and Harold E. Edgerton Associate Professor, Nuclear Science and Engineering

Direct supervisor

Matthew Hughes, Postdoctoral Associate, Nuclear Science and Engineering

Development of an autonomous boiling heat transfer experiment software platform Sponsor Shell

Currently, high-speed videography allows us to examine boiling mechanisms to prevent risks and increase productivity in high-temperature reactors. However, there is extensive manual work needed for these processes. So, I will be creating an automation script using matlab and labview to make changes in reactor parameters such as flow rate and pressure to keep the reactor as efficient as possible without risking a meltdown. This project would help make energy cheaper and more efficient, helping the world reach its energy goals.

Advisor

Matteo Bucci, Esther and Harold E. Edgerton Associate Professor, Nuclear Science and Engineering

Direct supervisor

Matthew Hughes, Postdoctoral Associate, Nuclear Science and Engineering

Research projects

Summer semester Biocatalytic enhancement of CO₂ capture using recombinant carbonic anhydrase Sponsor Shell

Global warming, driven by the accumulation of greenhouse gases such as CO₂ in the atmosphere, presents a critical challenge to our planet. This project addresses this issue by leveraging the catalytic power of carbonic anhydrase, an enzyme that catalyzes the conversion of CO₂ to bicarbonate, which is mineralized into carbonates, effectively sequestering CO₂. Furthermore, these carbonates have practical applications in construction materials, cement production, and soil amendment, offering additional economic value and offsetting the costs of CO₂ capture. By enhancing the efficiency of CO₂ conversion and providing useful by-products, this project holds significant potential for advancing carbon capture technologies and mitigating the impacts of climate change.

Advisor

Jean-Francois Hamel, Lecturer, Chemical Engineering

Fall semester Biocatalytic enhancement of CO₂ capture using recombinant carbonic anhydrase Sponsor Friends of MITEI UROP

Advisor

Jean-Francois Hamel, Lecturer, Chemical Engineering

Research projects

Electricity price modeling Sponsor Friends of MITEI UROP

The increased penetration of intermittent renewable generation increases the volatility of electricity prices and the value of flexibility in industrial processes such as hydrogen production. This project is focused on modeling the drivers of electricity price volatility. My contribution is the statistical analysis of the output of certain price models being used to value flexibility.

Advisor

John Parsons, Senior Lecturer, Sloan School of Management; Deputy Director for Research, CEEPR

Research projects

Summer semester Enhancement of CO₂ capture using carbonic anhydrase Sponsor ExxonMobil

The lack of efficacy and cost efficiency of current capture technologies cannot sustain our planetary limit due to increasing rates of carbon emissions due to mass industrialization. Carbonic anhydrase is an enzyme that can speed up mineralization, however it must be immobilized to be re-used. But when immobilized, the carbon cannot reach the active binding sites due to steric hindrance. We have developed a new immobilization technique that extends the spacer arm allowing for easier binding between the enzyme and carbon substrate, thus decreasing the cost-efficient aspect of carbon capture.

Advisor

Jean-Francois Hamel, Lecturer, Chemical Engineering

Fall semester Enhancement of CO₂ capture using carbonic anhydrase Sponsor Friends of MITEI UROP

Advisor

Jean-Francois Hamel, Lecturer, Chemical Engineering

Research projects

Electrochemical development of semiconducting polymers for energy storage Sponsor Friends of MITEI UROP

Medicinal drug delivery research is crucial for improving patient treatment and expanding the range of treatable conditions. Once a drug is put into the body, it is difficult to control the release with any great complexity. To address this complexity, we can take advantage of polymers to create a drug delivery device that can be remotely controlled, safely powered and dissolvable. My research focuses on the battery of the delivery device, developing a novel polymer-based energy storage system. By characterizing metrics like capacity, discharge rate, and resistance of different polymers, this battery system would be optimized for peak performance, which would allow for more sophisticated ailments to be treated easier than ever.

Advisor

Aristide Gumyusenge, Professor, Materials Science and Engineering

Direct supervisor

Eric Lee, Graduate Student, Materials Science and Engineering

Research projects

Technoeconomic comparison of electrochemical and amine-based CO₂ separation processes Sponsor Friends of MITEI UROP

There is a need for carbon dioxide (CO₂) capture processes that are energy efficient and low cost to adequately mitigate the excessive release of CO₂ into the atmosphere. Novel electrochemical CO₂ capture systems may meet this need, but, to the best of our knowledge, there are limited techno-economic comparisons between commercially deployed thermochemical systems and potentially lower-cost electrochemical systems. Using a process modeling platform, I develop and optimize a state-of-the-art thermochemical CO₂ capture system that allows for direct cost and performance evaluations against electrochemical alternatives. This modeling aids in quantifying key cost contributors for each system while also guiding future research directions and policy in the carbon capture field.

Advisor

Fikile Brushett, Associate Professor, Chemical Engineering

Direct supervisor

Katelyn Ripley, Graduate Student, Chemical Engineering

Research projects

Identification of the steel decarbonization options for different regions Sponsor Friends of MITEI UROP

Carbon dioxide emissions from the steel industry need to be reduced to meet the net zero CO₂ emissions objective by 2025. The steel industry relies heavily on coal and energy-intensive processes, making decarbonization both challenging and necessary. Our research conducts techno-economic analysis (TEA) and life cycle analysis (LCA) on steel decarbonization by evaluating region-specific data on production capacity, energy use, and emissions in China, Japan, Germany, Turkey, South Korea, and Brazil. By identifying practical decarbonization strategies like fuel switching, technological innovations, and carbon capture and storage, our project develops an optimization framework to determine the most practical steel decarbonization scenarios according to cost, emissions, and demand in different regions. This project will provide actionable pathways that significantly reduce carbon emissions while balancing cost-effectiveness and meeting regional steel demand.

Advisor

Bill Green, Director, MIT Energy Initiative

Direct supervisor

Guiyan Zang, Research Lead, MIT Energy Initiative

Characterization of GaN devices for high-temperature applications Sponsor Shell

Geothermal energy is a promising clean and renewable resource that has not been fully utilized in part due to the limitations of current electrical devices and their inability to operate at the necessary extreme temperatures (~500°C). To unlock the full potential of geothermal energy, our research focuses on enhancing the internal components of geothermal drilling technology by investigating gallium nitride (GaN), a semiconductor material that enables high performance electronic devices at these extreme temperatures. Specifically, we investigate novel dielectric passivation layers and their effects on GaN devices after exposure to such high temperatures over long periods of time. By developing robust, high-temperature semiconductor devices, we can significantly improve the safety, efficiency, and sustainability of electronic systems for next generation geothermal power plants.

Advisor

Tomás Palacios, Director, 6-A MEng Thesis Program; Professor, Electrical Engineering

Direct supervisor

John Niroula, Research Fellow, Electrical Engineering and Computer Science

Research projects

Machine learning research for autonomous accelerated materials discovery device Sponsor Friends of MITEI UROP

My research focuses on optimizing the ZoMBI-Hop algorithm, a cutting-edge method for efficiently locating high-performing materials in vast compositional spaces. This research targets the improvement of perovskite solar cells, which have the potential to surpass traditional silicon-based photovoltaics in cost-efficiency and performance. By enhancing ZoMBI-Hop to identify multiple promising material compositions (or “needles”) within a given dataset, we aim to streamline the discovery process, reducing time and resource consumption while increasing the likelihood of finding materials with desirable properties. To evaluate these improvements, I have devised a comprehensive benchmarking system for ZoMBI-Hop. This system assesses the algorithm’s accuracy, complexity, speed, and adaptability to higher-dimensional search spaces. Insights from this analysis guide the refinement of model hyperparameters and the exploration of new strategies for managing multi-optimum searches. These enhancements will ultimately contribute to the creation of cheaper, more efficient perovskite solar cells, bolstering the economic and environmental viability of renewable energy technologies. Beyond this, my work integrates machine learning models with autonomous material sampling apparatuses, offering a scalable solution for addressing complex discovery challenges across various domains. By combining advanced algorithms with physical experimentation, this project demonstrates the transformative potentia

Advisor

Tonio Buonassisi, Professor, Mechanical Engineering

Direct supervisor

Alexander Siemenn, Graduate Student, Mechanical Engineering

Research projects

Shoreline project expansion Sponsor ExxonMobil

Despite significant advancements in the size and accessibility of solar panels, only 6% of our energy currently comes from solar power. There have been efforts to integrate solar panels into everyday items like clothing and bags, but most of these solutions fail to generate enough power to fully charge a phone. My research this summer focused on designing a solar-powered bag that maximizes surface area to generate sufficient power for charging small electronic devices. This innovation will help integrate solar panels into everyday items, reducing the need for separate installations and saving households money. By making solar energy more practical and accessible, we can promote cleaner energy use in daily life.

Advisor

John Ochsendorf, Professor, Architecture

Direct supervisor

Nia Iman Rich, Graduate Student, Architecture and Planning

Research projects

Improved dataset curation and synthetic data generation for realistic DER-rich grid studies Sponsor Friends of MITEI UROP

The rapid decarbonization of the power grid is essential to emissions reduction goals, which will entail a transition from fossil fuels to distributed energy resources (DERs) such as renewables, batteries, and electric vehicles. However, current datasets on DERs are scarce and often incomplete, which hinders their accurate modeling and optimization in grid studies. My work tackles this by (i) compiling datasets from many public sources and (ii) leveraging various statistical and machine learning methods to fill gaps in existing data for multiple regions in the United States, in order to empower researchers, policy makers, and industry professionals. In addition to understanding the current state of DERs, I’m working on predicting future growth trends until 2050 and providing a large, high-quality, and open-source database for researchers. This database will be highly valuable not only to support grid decision-making and accelerate DER integration but also to enhance energy affordability, reliability, and equity. It will improve quality of life by fostering cleaner air, lower emissions, and more resilient communities, thus supporting a sustainable future.

Advisor

Anuradha Annaswamy, Senior Research Scientist, Mechanical Engineering

Direct supervisor

Vineet Jagadeesan Nair, PhD Student, Mechanical Engineering

Research projects

Quantifying cryogenic stored energy release in irradiated YBa2C3O7 Sponsor Friends of MITEI UROP

Quantifying cryogenic stored energy release in irradiated YBa2C3O7 through molecular dynamics annealing simulations

Magnetic fusion energy has the potential to provide abundant, carbon-free electricity, anywhere, any time. But the bombardment of fusion neutrons can affect the longevity of fusion magnets, responsible for the confinement field that sustains fusion in the core. My research utilizes molecular dynamic simulations to quantify the energy stored in radiation-induced defects. This quantification will inform strategies to prevent local hotspots in superconducting magnets (called quenches) that can severally damage these expensive and critical components. By mitigating the risk of quenches, my research increases the operational certainty and overall attractiveness of fusion power.

Advisor

Michael Short, Associate Professor, Nuclear Science and Engineering

Direct supervisor

Alexis Devitre, Graduate Student, Nuclear Science and Engineering

Research projects

Impact of environmental parameters during fabrication for highly reproducible PV solar cells Sponsor Friends of MITEI UROP

Understanding the impact of environmental parameters during fabrication for highly reproducible perovskite solar cells

My UROP addresses the challenge of reproducibility in the fabrication of perovskite solar cells (PSCs), which are promising for high-efficiency, low-cost solar energy conversion. The efficiency of PSCs can vary significantly due to environmental factors during fabrication, such as temperature, humidity, and oxygen levels, affecting the crystal formation process crucial for performance and stability. My role involves designing, fabricating, and characterizing PSCs, controlling environmental parameters, and using a large language model (LLM) to analyze results and output optimized environmental factors for the greatest efficiency. This research aims to develop standardized fabrication protocols to enhance reproducibility, contributing to the scalability and commercial viability of PSC technology. By improving the reliability and accessibility of PSCs, especially for energy-poor communities, this work supports a just energy transition, promoting equitable access to renewable energy through more efficient and reproducible perovskites solar cells.

Advisor

Tonio Buonassisi, Professor, Mechanical Engineering

Direct supervisor

Tianran Liu, Postdoctoral Associate, Research Laboratory of Electronics

Research projects

Nanofiltration for valuable metal extraction from aluminum waste cryolite Sponsor Friends of MITEI UROP

The current production process of aluminum, which is heavily used in the manufacturing of automobiles, drink cans, and electrical wiring, is problematic because of the large quantities of hazardous waste it generates. My project is investigating the viability of nanofiltration as a method for purifying this waste cryolite stream to recycle the aluminum that is otherwise unused. From experimental data, I have achieved significant aluminum retention (>98%), while separating it out from 70-95% of other metal species—a result that would reduce hazardous waste and enhance aluminum’s circular economy.

Advisor

John H. Lienhard, Abdul Latif Jameel Professor of Water, Mechanical Engineering

Direct supervisor

Zi Hao Foo, Graduate Student, Mechanical Engineering

Research projects

Optimizing a lattice-based raft for reduction of L-PBF build plate warping Sponsor Friends of MITEI UROP

Additive Manufacture (AM) with Laser Powder Bed Fusion (L-PBF) is an emerging technique enabling rapid development of fusion system components in configurations otherwise unachievable through traditional manufacturing techniques. However, thermal stresses induced due to rapid heating and cooling cycles during the printing process can distort the build plate, particularly larger parts. Newly developed underlying support structures first tested on an LCD-based stereolithography (SLA) photopolymer resin printer decouples the stress transfer reducing build plate distortion in L-PBF. Use of these support structures during L-PBF of an existing reactor component reduced distortion by 40% compared to the component printed without the support structure.  These support solutions will be implemented in future L-PBF prints to improve precision of future fusion components.

Advisor

Stephen J. Wukitch, Principal Research Scientist, Plasma Science and Fusion Center

Direct supervisor

Andrew Seltzman, Research Scientist, Plasma Science and Fusion Center

Research projects

Multi-layered optimization for coordinated electrical vehicle charging Sponsor Friends of MITEI UROP

The rapid adoption of electric vehicles (EV) introduces higher demand for electricity, which stresses the power grid, especially when drivers come home from work in the evening. Our research recognizes diverse charging needs and power grid constraints and we designed a multi-layer coordination scheme to maximize social welfare for all market participants that include generators, demand aggregators, and EV owners. Our research shows that, given the right market structure and incentives, companies will optimize for their charger allocation and retail pricing in this way and ensure our power grid is efficient and sustainable.

Advisor

Marija Ilić, Adjunct Professor, EECS; Senior Research Scientist, LIDS

Research projects

Advancing stability testing equipment for perovskite solar cells Sponsor Friends of MITEI UROP

Thin-film perovskite solar cells show high potential for cost-effective production and energy conversion efficiency, but they degrade quickly as their stability lags behind. To accelerate research on improving their stability, we are developing specialized equipment that tests large quantities of solar cell samples under lighting conditions similar to the sun’s illumination. This equipment would be used for high throughput experiments that could lead to development of market-ready perovskite solar cells.

Advisor

Tonio Buonassisi, Professor of Mechanical Engineering, Mechanical Engineering

Direct supervisor

Tianran Liu, Postdoctoral Associate, Research Laboratory of Electronics

Research projects

Exploration of high-entropy perovskites for improved performance and stability Sponsor Friends of MITEI UROP

Perovskite solar cells offer a promising alternative to traditional silicon-based cells, thanks to their high efficiency and lower manufacturing costs. However, challenges remain in ensuring the reproducibility and long-term durability of these cells, particularly under real-world operating conditions. Our research focuses on investigating how various fabrication parameters—such as temperature and humidity—affect cell performance and stability. By addressing these factors, we seek to understand the reproducibility and enhance the stability of perovskite solar cells. Advancing the reproducibility and durability of perovskite solar cells is critical for the broader adoption of renewable energy, reducing dependence on fossil fuels, and accelerating the global transition to sustainable energy sources.

Advisor

Tonio Buonassisi, Professor of Mechanical Engineering, Mechanical Engineering

Direct supervisor

Tianran Liu, Postdoctoral Associate, Research Laboratory of Electronics

Research projects

Leveraging machine learning to accelerate MOF discovery for methane to methanol conversion Sponsor Friends of MITEI UROP

The current state of the industry of synthesizing methanol is posing a threat to the environment, mainly due to the susceptibility of methanol to overoxidation to carbon dioxide, a greenhouse gas. In nature, however, metalloenzymes like methane monooxygenases (MMOs) have demonstrated capability to convert methane to methanol under mild conditions, such as ambient temperature. Our project is the development of a Molecular Organic Framework that could synthesize industrially valuable methanol, while reducing greenhouse gas emissions associated with current methods of methanol synthesis. This project has a potential to lower the carbon footprint in this industry, which will matter in the long run to create a green society.

Advisor

Heather J. Kulik, Lammot du Pont Professor of Chemical Engineering, Chemical Engineering

Direct supervisor

Husain Adamji, Graduate Student, Chemical Engineering

Research projects

Learning the material physics of graphite electrodes through image inversion Sponsor Friends of MITEI UROP

The material physics of graphite, a predominant component in lithium-ion batteries, are currently not well understood, slowing improvements in the development of battery technologies. We are developing a machine learning based image pre-processing pipeline to prepare graphite microscopy images for further analysis, removing noise from the data and identifying particles at different reaction stages. With a processed data set, further work to learn graphite properties can be expedited and more informed development of lithium-ion batteries at all stages of life is possible.

Advisor

Martin Bazant, Professor of Chemical Engineering and Mathematics, Chemical Engineering

Direct supervisor

Sam Degnan-Morgenstern, Graduate Student, Chemical Engineering

Research projects

Experimental investigation of natural convective heat transfer in the presence of bubbles Sponsor ExxonMobil

A third of the nation’s electricity generation comes from boiling heat transfer, as well as nearly all of our refrigeration and air conditioning. However, little is known about boiling mechanics, as boiling is an erratic, difficult-to-measure process. This can lead to huge overheating issues which can lead to devastating crises. Though prediction of these crises is possible, it is limited due to lack of understanding of boiling mechanics. My research focuses on designing an experiment which investigates the effect of bubble agitation on heat transfer. By separating one boiling mechanic, we can construct more accurate and meaningful heat transfer models, and by continuing to investigate boiling mechanics, we can lower the price and environmental footprint of many essential power systems while also improving their efficiency.

Advisor

Matteo Bucci, Esther and Harold E. Edgerton Associate Professor, Nuclear Science and Engineering

Direct supervisor

Matthew Hughes, Postdoctoral Associate, Nuclear Science and Engineering

Research projects

Cost-performance analysis and benchmarking of CO₂ capture systems for hard-to-abate industries Sponsor Friends of MITEI UROP

Carbon capture and storage (CCS) technologies are a promising solution to addressing the substantial emissions originating from hard-to-abate industries. However, there are many existing CO₂ capture systems, and some may be better suited depending on the properties of the flue gas stream. We are developing process simulations of existing and emerging CO₂ capture systems to evaluate their cost and performance across different industrial flue gas streams, and in doing so we will identify which CO₂ capture systems are best suited for specific industrial processes. By benchmarking the cost-performance analysis of the various CO₂ capture systems, we hope to guide future implementation of CCS technologies to be as cost effective and energy efficient as possible.

Advisor

Robert Stoner, Founding Director, Tata Center for Technology and Design

Direct supervisor

Bosong Lin, Postdoctoral Associate, MIT Energy Initiative

Optimizing rollout of hydrogen for industrial decarbonization Sponsor Friends of MITEI UROP

A significant challenge in the battle against climate change lies in mitigating the substantial greenhouse gas emissions originating from hard-to-abate industrial sectors, which collectively contribute to nearly one-third of global emissions. Among the promising solutions to address these emissions, carbon capture and storage (CCS) technologies stand out as crucial decarbonization enablers by being able to significantly reduce emissions from existing industrial plants without disrupting vital industrial processes. However, since many of the industrial emissions are at high temperatures (300 to >1,400°C), conventional CCS technologies require cooling the flue gas to enhance the capture efficiency, which in turn requires more energy and leads to wasted low-grade heat. We are developing process simulations of emerging CCS technologies (such as molten salt) that offer the potential to operate the capture process at temperatures closer to those of the emissions. By evaluating their cost and performance across different industrial flue gas streams in comparison to conventional CCS technologies, we will identify which CCS technologies are best suited for specific industrial processes and help guide the growing implementation of CCS.

Advisor

Robert Stoner, Founding Director, Tata Center for Technology and Design

Direct supervisor

Bosong Lin, Postdoctoral Associate, MIT Energy Initiative

Research projects

Electricity market design for incentivizing investments in battery storage Sponsor ExxonMobil

To achieve its ambitious renewable energy goals, New York State has implemented numerous incentives and policies for including managing battery storage in the energy market. Our project researches how market participants are establishing and utilizing battery storage under these incentive structures by documenting these policies, analyzing the scale of battery investments, and investigating the business models that enable battery owners to profit from these investments. This allows us to gauge the effectiveness of these policies and inform future strategies and market designs to encourage investments in battery storage and a transition to lower-carbon energy systems.

Advisor

John Parsons, Senior Lecturer, Sloan School of Management; Deputy Director for Research, CEEPR

Research projects

A data driven approach to sustainable forestry Sponsor ExxonMobil

As the Indonesian government licenses plots of lands called concessions to palm oil farmers, concession owners have cut down trees to clear land for their plantations, to the point that deforestation due to palm oil has become a leading cause of forest loss in the country. Our team proposes that the concessions neighboring each other share tools, labor, and technology with each other, and this so-called “network effect” leads to increased deforestation rates across all involved concessions. We are developing models that quantify this relationship and hope to use the models to develop policies to reduce the deforestation rate due to network effects in Indonesia.

Advisor

Saurabh Amin, Professor, Civil and Environmental Engineering

Direct supervisor

Rohit Parasnis, Postdoctoral Associate, Civil and Environmental Engineering

Research projects

Applying ML algorithms to select capping layers for efficient and stable PV solar cells Sponsor Friends of MITEI UROP

Applying machine learning algorithms to select capping layers for efficient and stable perovskite solar cells

Nonrenewable energy sources raise global temperatures and accelerate carbonization, demanding diverse, accessible clean energy solutions to combat climate change. At the Accelerated Materials Laboratory for Sustainability, we are studying perovskite solar cells (PSC), an alternative to commercialized silicon solar cells, and experimenting the effect on power efficiency from the cells’ 2D capping layer materials suggested by machine learning algorithms. Interpreting power efficiencies of 2D PSCs with machine learning helps answer the open-endedness of possible encapsulation materials to research; this brings us closer to finding reproducible methods that can commercialize effective PSCs and expand clean energy solutions in the long run.

Advisor

Tonio Buonassisi, Professor, Mechanical Engineering

Direct supervisor

Tianran Liu, Postdoctoral Associate, Research Laboratory of Electronics

Energy UROPs

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Elise Echarte

Matthew Garcia

Javier Gil

Presha Goel

Vivian Guo

Logan Hammond

Sarah Hernandez

Rachel Jiang

Jackson Kay

Nebus Kitessa

Danielle Knutson

Lauryn Kortman

Ronaldo Lee

Trent Lee

Erick Liang

Elaine Liu

Leala Nakagawa

Vinn Nguyen

Almira Nurlanova

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Elise Echarte

Matthew Garcia

Javier Gil

Presha Goel

Vivian Guo

Logan Hammond

Sarah Hernandez

Rachel Jiang

Jackson Kay

Nebus Kitessa

Danielle Knutson

Lauryn Kortman

Ronaldo Lee

Trent Lee

Erick Liang

Elaine Liu

Leala Nakagawa

Vinn Nguyen

Almira Nurlanova

Mairin O’Shaughnessy

Joshua Rivera Camacho

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Sonia Seliger

Sokh Visal Soeun

Emilia Szczepaniak