• Working directly with the company's CEO on literature reviews, professional insights, and conference topics• Developing several instructional modules for the American College of Radiology's "Case in Point" continued education series• Engaging in discussions and planning for a longitudinal study to construct an AI algorithm for tagging cardiovascular images• Provide support in exploring controversial topics and advancements in cardiovascular imaging

• Demonstrated strong traction by securing $50,000 in capital within one year and earning recognition in competitive startup programs, including TechRise and the COZAD New Venture Challenge, boosting AmnioAlert’s credibility and visibility• Directing business strategy and operations, focusing on business development, product innovation, and long-term growth to advance maternal health through a novel amniotic fluid detection product• Overseeing daily operations, ensuring the company’s progress while managing co-founders' limited availability• Serving as the primary liaison for legal matters, award discussions, partnerships, and external communications• Coordinating all meetings—internal and external—to align the team on strategic goals and milestones• Leading branding efforts by designing professional visual materials for investor meetings and pitch competitions• Building relationships with clinical mentors and industry experts to guide healthcare-focused product development• Advancing key milestones, including customer discovery, FDA discussions, product design, and proof-of-concept testing• Awards:- $25,000 Winner at University of Illinois’s Founders Week TechRise (sponsored by p33) Pitch Competition 2024 - $10,000 Finalist at COZAD New Venture Challenge Chicago 2024- $7,500 2nd Place Health Innovations Prize 2024- $7,500 2nd Place Rural Health Innovation Prize 2024- $5,000 Cooley Law Firm Legal Services Prize 2024- $1,200 Singleton Law Firm Legal Services Prize 2024- EnterpriseWorks 1-Year Student Startup Membership 2024 - mHub Chicago 3-Month Co-Working Membership 2024

• Developing MATLAB codes to analyze micro-CT images by calculating key bone growth metrics, along with other factors as defined by the PhD mentor and Principal Investigator• Enhanced data accuracy by writing MATLAB scripts to slice micro-CT images into a 4x4 grid for high-resolution segmentation using Bone Scaffold Image Segmentation UNET• Created MATLAB code to reassemble segmented sub-images, facilitating comprehensive analysis of micro-CT images• Streamlined image segmentation by integrating UNET outputs into a unified framework, enhancing precision in bone growth measurements and overall analysis of in vivo studies• Contributed to the creation of a Bone Scaffold Image Segmentation UNET by curating initial training sets and test stacks• Assisted with 3D printing of experimental scaffolds for use during in vivo studies conducted in the spring of 2022• Manufactured and characterized hydroxyapatite-based, biocompatible ink for custom 3D-printed bone scaffolds• Analyzed bone scaffold composition using MATLAB and Profex with data collected by SEM and XRD methods• Developed and executed solutions regarding ink contamination, equipment failure, and expediting manufacturing timelines• Sourced lab equipment manufacturers for replacement parts and communicated with company technicians• Reviewed engineering drawings to retrofit stock factory parts and make equipment modifications

• Researched and presented osteointegration quantification methods• Created a preliminary neural network for image segmentation purposes • Developed quantification methods for curvilinear and rectilinear scaffold design for scheduled in vivo studies • Prepared for and presented findings in weekly meetings with a Ph.D. mentor and Principal Investigator • Research sponsored, in part, by ADM

• Created a network of Excel databases by analyzing farms using Field Vision software, leading to a subsequent 8% company-wide increase in insurance sales by targeting marketing to over 500 farms within the database • Generated PowerPoint presentations for the use of sales associates during crop insurance conferences with attendees based on farms listed in the database, separated by county • Exceeded expectations by delivering databases before critical deadlines and improved project completion time by 75%