I currently conduct research under the advisement of Dr. Christine Peterson at MD Anderson. My current project concerns improving the quality of CT scan images taken of cancer patients. Computed Tomography (CT) is often used to diagnose and treat patients with cancer. However, CT scans are not always of ideal quality for radiologists to make accurate judgements for the patient. For example, if there is not enough contrast in the image, then the scan has to be retaken at a later date. This means… Show more I currently conduct research under the advisement of Dr. Christine Peterson at MD Anderson. My current project concerns improving the quality of CT scan images taken of cancer patients. Computed Tomography (CT) is often used to diagnose and treat patients with cancer. However, CT scans are not always of ideal quality for radiologists to make accurate judgements for the patient. For example, if there is not enough contrast in the image, then the scan has to be retaken at a later date. This means another trip to the hospital for patients, more time spent per patient for technicians, and an overall strain on hospital resources. I have proposed and am currently constructing a machine learning model that can be used to predict where various venous structures are, so that we may measure its mean pixel value. From this, a decision can be made by technicians on whether or not the image is of good enough quality. Show less

• Teaching Assistant for Probability and Statistics for Data Science (STAT 315/DSCI 301) at Rice University.• Responsibilities include creating original homework assignments, grading exams, and holding weekly office hours.

• Lead a research team of undergraduate and graduate students.• Develop novel network clustering algorithms and text mining systems.• Identify relationships that could better predict the impact of favorable stem cell precursors for patients with cardiovascular disease or congenital heart disease.• Presented research at Undergraduate Research Opportunities Program 2021 Spring Symposium.

• Maintain the lab website by regularly publishing the research being done by a group of 40 lab members, as well as advertising ways for potential members to get involved in our research.• Create, organize, and host learning opportunities and social events for the lab of 40 people.

• Lead a research team of 10 undergraduate students. • Use machine learning techniques to predict repurposed drugs and risk factors for COVID-19. • Visualize data to provide quickly understandable insights for front-line healthcare workers. • Published a first-author paper, titled "Biomedical Text Link Prediction for Drug Discovery: A Case Study with COVID-19 ," in the journal Pharmaceutics.

• Used research administration data and research commercialization data to enhance visibility into campus research operations.• Conducted data mining, data cleaning, and data wrangling on multiple data sources internal and external to Georgia Tech.• Constructed a Neo4J graph database to store relational data and visualization tools to display graph data.• Presented findings to senior leadership to guide strategic decision-making.

• Teaching Assistant for Computer Science, Computing for Engineers (CS 1371) at the Georgia Institute of Technology's College of Computing. • Responsibilities include leading a group of 30 students in a weekly recitation, grading exams, and holding weekly office hours.

• Studied hypoplastic left heart syndrome and pulmonary atresia.• Used 3D bioprinting to create accurate models of the developing heart, followed by computational fluid dynamic and in vivo simulations in order to better understand their etiology. • Trained in CAD, 3D printers and 3D bioprinters, creation of bioinks, cell culture growth, and bright field and fluorescence microscopy.• Published work in multiple high-impact journals including "Advanced Healthcare Materials".

• Designed and carried out experiments for the Nitro Pepsi project to ensure that the new product met all customer demands. • Analyzed data from these experiments and presented my findings to senior leadership in order to guide decision-making. • Worked with other PepsiCo teams effectively to carry Nitro Pepsi to market. • Troubleshot faulty fountain equipment, and trained in basic fountain system repair.