Affiliations
-
Presented my findings on the Isolation and Identification of Volatile Oil of the Flowers of Artocarpus altilis (Breadfruit) at the 2018 ACS National Conference in Boston
Industry Project
-
Mapping the Future of Soil Analysis: Investigating Current and Emerging Soil Survey Technology. (Practicum Project Fall 2020)
​A group project examining various soil mapping technologies used in both industrial and academic settings. The process of soil mapping involves classification of small soil areas by properties such as color, texture, moisture, and nutrient content. The overall importance of soil mapping is its variety of applications in agriculture. Such applications include, but are not limited to, sustainable crop yield, pesticide transport, forest management, and fertilizer management. By using soil mapping to examine features such as moisture and nutrient content, these companies can determine ideal locations for their engineered seeds, resulting in more control over the production of various crops.
-
Predicting Biopharma Investments: Correlating Catalysts with Change. (Practicum Project Spring 2021)
Worked with a group of four fellow graduate students in creating a model to better predict biotechnology company events that lead to the biggest swing in stock price. The goal of the project was to aid in the development of a portfolio by analyzing shifts in share price for publicly traded companies. The scope of work included identification, quantitative analysis, and qualitative analysis of factors which relate to large movements in stock price and those which limit this movement for Phase II and Phase III clinical trials.
-
Predicting CDMO Performance and Market Size. (Practicum Project Fall 2021)
This group project objective was to determine the optimal method for estimating the size of various CDMO market segments. Our CDMO markets of interest were mammalian cell culture, microbial fermentation, viral vector/gene therapy, and drug product. The primary goals of the project revolved around performing market research and collecting company data which included annual revenue, employee number, production capacity, and facility size. The most robust parameters obtained throughout the project were mainly annual revenue, employee number, and market share (for larger CDMOs). As such, linear regression models were generated for annual revenues and employee numbers for larger and smaller CDMO companies.
-
Innovating aquaculture one bite at a time. (Practicum Project Spring 2022)
Worked with a team of five fellow graduate students to create a business model addressing a need in the biotechnology industry while utilizing soft and hard skills gained during the course of the MMB program. Aquaculture is the fastest growing meat production sector worldwide. One of the biggest barriers to future growth of the aquaculture sector is bacterial disease and the yield losses associated with it. Traditionally, broad-spectrum antibiotics have been the go to therapeutic to combat bacterial diseases. However, antibiotic use in the aquaculture industry is waning due to increased regulatory stringency and the increasing prevalence of antibiotic resistant bacteria. The goal of this project was to create an antibiotic-free product that can be used to address relevant disease in the aquaculture industry.