I will design and build a prototype of a device that generates electricity using the power of ocean waves. It will be efficient and portable so that it can be easily be used by people who have been affected by natural disasters or do not have access to electricity. My prototype will involve a coil and a magnet that induces a current as it shakes.

Alzheimer's disease is the 6th leading cause of death in the United States, but currently, there is no cure (Alzheimer’s Association). To treat Alzheimer's disease, we must first fully understand the molecular mechanisms behind it and the pathological roles of the tau protein that classify diseases such as Alzheimer's disease as tauopathies. The tau protein has the normal role of attaching to and organizing microtubules, which are crucial for maintaining cell structure, transporting materials within cells, and separating chromosomes during cell division. Among other causes, mutations in the tau gene have been linked with pathological tau and the degeneration of neurons. I intend to research the effects of such mutations in a particular region of the gene, known as exon 10, on tau function and cell viability with both database and lab observational techniques.

The recent discovery that bacteriophages may influence the development of Parkinson's disease sparked our interest in a less explored area. We investigated the relationship between bacteriophages and Parkinson's disease by interviewing researchers and professors, analyzing literature, and conducting an experiment studying the abundance of specific bacteriophages in varied environments. We hope that our research may inspire the growing science community.

In this project, I am researching and analyzing different prime factorization algorithms. After making a list of different algorithms, I will figure out the time complexity. Then, I will code the algorithm and retrieve real running time on variously sized input data sets. After collecting my data, I will compare each algorithm and extrapolate the existence of "fast" factorization algorithm.

I am exploring measurement collapse, where a particle tends to instantaneously fall into a definite state only after being observed by a measuring device or conscious being. Since the 1920s, many interpretations on how to explain how and why this behavior occurs have been presented. However, the quantum mechanics community has not been able to determine which interpretation is most accurate. This project will focus on one of these interpretations, "simultaneous localization," which holds that collapse occurs randomly and without the need for measurement. This project will utilize the IBM Q Experience 5-qubit quantum computer to empirically simulate the simultaneous localization measurement process. To simulate this interpretation, we will observe what occurs to the uncertainty in spin of two multi-particle entangled systems with opposing spin. In this particular situation, the simultaneous localization interpretation and the accepted orthodox interpretation of measurement differ. If we can analyze which interpretation more closely matches particle behavior in this scenario, we can get begin to determine which interpretations are most accurate.

For my project, i will be testing 3 different sensors. 2 of these sensors are currently used in self-driving technology; however, the third sensor--a heat sensor--will be used as well. I will be coding the algorithm and testing the different sensor and algorithm pairs in an obstacle course. I will be observing the time it takes in order to complete the course and also to see how many obstacles the car hit.

My project involves simulating RNA cotranscriptional folding to find certain conditions that allow folding into specific shapes. These shapes can be used to create nanoscale devices such as motors or logic gates. They have implications in the industrial and medical fields, such as for manufacturing or drug delivery.

I am building my own sensor fusion comprised of ultrasonic, sonar, and infrared sensors. Afterward, I will build my own stealth aircraft from scratch and tweak the structure to test methods for helping the aircraft evade detection by the sensor fusion. Aerodynamics, engine emission, and skin coating will be the three main factors I will be testing.

Dioxin is a dangerous environmental toxin that is a byproduct of chemical manufacturing processes. Notoriously known as a component of Agent Orange, an herbicide used to clear out trees during the Vietnam War, this chemical has been found to cause health defects in Vietnam War veterans and Vietnamese civilians even to this day. I am researching how dioxin suppresses the immune system and what has been done to alleviate or remove the source of dioxin’s immunosuppressive effects.

The goal of this project is to build a computational model to predict how many “likes” images will get from users of social media. The model will be trained and tested for accuracy by using data sourced from social networks. This data may be collected automatically with a computer program. This work is intended to help content creators improve their products.