Research
Research
Over the last three years, I have conducted a multi-disciplinary study investigating the various factors that affect financial decision-making, specifically relating to aspects of cryptocurrencies. Through my innovative methodology and software development, I have explored the artificial growth of these digital assets.
My research delves into the fascinating realm of cryptocurrency investments, where celebrity endorsements play a significant role in shaping consumer behavior and market dynamics. By employing a novel psychological approach, I aim to understand how these endorsements influence individuals' financial decisions and the subsequent impact on cryptocurrency markets. Central to my work is the development of cutting-edge software that enables the tracking and analysis of the artificial growth of cryptocurrencies. This software allows for a comprehensive examination of market patterns, investor sentiment, and the correlation between celebrity endorsements and price fluctuations. By leveraging this unique tool, I have gained valuable insights into the interplay between psychological factors, celebrity influence, and financial decision-making in the cryptocurrency realm.
Through my investigations, I seek to contribute to the understanding of financial decision-making in the context of emerging digital markets. By shedding light on the role of celebrity endorsements and the psychological factors driving investment behavior, my research aims to provide valuable insights for individuals, investors, and industry professionals navigating the cryptocurrency landscape.
The Impact of Celebrity Endorsements on the Cryptocurrency Industry Through a Multi-Level Latent Class Analysis and Multidisciplinary Study (A Three Year Study)
In 2020, cryptocurrencies experienced significant growth due to increasing interest rates and a declining US dollar value. This resulted in a rapid proliferation in the price of Bitcoin and the emergence of over 10,000 different assets. The vast number of cryptocurrencies created challenges for developers who struggled to promote their unique assets. This led to the use of aggressive marketing strategies, including the use of celebrity endorsements. This research took a multidisciplinary approach aimed at investigating the factors contributing to the success of celebrity endorsements in promoting cryptocurrencies. A multilevel latent class analysis was conducted in R using poLCA to assess the connection between personality and intelligence groupings in the aspects of cryptocurrency purchases based on paid celebrity promotions. The model fit was assessed using the Bayesian Information Criterion and the Akaike Information Criterion. Furthermore, the researcher developed a HAR file software and an artificial growth tracker that tracks the sudden movement of these assets using technical indicators such as the RSI and Fibonacci retracement. After assessing the stationarity using the Augmented Dickey-Fuller Test, auto-regressive integrated moving average models (ARIMA) were developed that predict future developments and provided quantitative backing to the psychological data. The results of this research provide valuable insights into the complex interplay between psychological and mathematical factors that influence the growth and adoption of cryptocurrencies. These findings can be used to develop effective strategies to inhibit the artificial increase in the valuation of these assets and mitigate potential risks.
Creating a Novel Solution that Artificially Extracts Excess Zinc From Soil Utilizing a Combination of Both Pre-Existing Mechanisms and Newly Developed Methods.
This research aimed to develop and implement a novel solution for the artificial extraction of excess zinc from soil, addressing the persistent problem of heavy metal toxicity in crops. Metal toxicity, resulting from an accumulation of certain metals or heavy metals in soil, poses significant threats to plant health and crop production. To tackle this issue, a synthetic chelator method involving a chelating agent and a metal ion was initially introduced. However, concerns regarding its safety and negative effects on human health prompted the exploration of alternative approaches. In this study, a comprehensive investigation of various phytoextraction methods, including phytosequestration, rhizodegradation, phyto hydraulics, phytoextraction, phytovolatilization, and photodegradation, was conducted. These methods encompassed diverse mechanisms to immobilize, accumulate, degrade, or transpire metals, offering potential solutions for the removal of heavy metals from soil. However, efficiency and limitations were identified as common factors across these techniques, necessitating the search for more effective and environmentally sustainable alternatives. The focus of this research was on the utilization of humic acids, specifically targeting excess zinc in the soil. Zinc, while essential for plant growth and functioning, can have detrimental effects when present in excessive amounts. Humic acids, derived from organic matter such as dead animal matter, humus, peat, and coal, were identified as promising agents for soil improvement and pH regulation. In this study, a specific humic acid composition consisting of sodium hydroxide, potassium hydroxide, and powdered lignite was employed.
International Science and Engineering Fair Finalist '22, '23, '24 (Selected to attend the Regeneron International Science and Engineering Fair in Atlanta, Dallas, and Los Angeles for research involving financial decision-making)
Nelson Ying Grand Scholar (Best of Show in the Florida State Science and Engineering Fair Finalist: 1 of 8 students selected from 1000+ and awarded $1000)
1st Place in Behavioral and Social Sciences at the Florida State Science and Engineering Fair
Jason Colloquium Speaker (1 of 6 students selected to present a speech to 500+ individuals regarding my experiences with entrepreneurship and research experiences)
Recognized by the APA for extraordinary research in the field of Psychology at the State Science and Engineering Fair of Florida (1 of 2 students selected)
$160,000 total scholarship to attend the Florida Institute of Technology
Harvard Conference of Undergraduate Research Speaker at Cambridge, Massachusetts
1st Place Behavioral and Social Sciences at the Brevard South Science and Engineering Fair (Occured every year from 2020-2023)
Best of Show in Biological Sciences at the Brevard South Science and Engineering Fair (Occured every year from 2020-2023)