About Me
(professional)
Skills & Interests
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Certified Associate in Project Management, PMI - April 2023
Certified Departmental Analyst, MicroStrategy - November 2023
Certified Enterprise Analyst, MicroStrategy - February 2024
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Python
PyTorch
NumPy
Pandas
TensorFlow
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Communication
Public Speaking
Problem Solving
Cross-Functional Leadership
Critical Thinking
Teamwork and Collaboration
Attention to Detail
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Data Analytics
MicroStrategy
Instructional Content Development
Project Management
Technical Writing
Basic Computer Vision
Machine Learning
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Integrating data science, healthcare, and project management to improve patient outcomes
Developing pragmatic guides and ready-to-use tools to help others
Timeline of Achievements
For a full listing of my previous awards and recognitions, please visit my LinkedIn.
2024
[certification] Passed the examination for Certified Enterprise Analyst in MicroStrategy
February
2023
[certification] Passed the examination for Certified Departmental Analyst in MicroStrategy
November
[career] Began working at Alliance Health as a Data Analytics Training Specialist
October
[whitepaper] Internally published Best Practices for Imaging Projects in the Healthcare Domain: A Guide to Completing a Successful Computer Vision Project at Duke Health
April
[seminar] Presented A Guide to Conducting a Successful Computer Vision Project: Insights from Duke AI Health Fellows virtually to 100+ audience members
[poster] Presented Bridging the Gap Between Health Data Science and Project Management at the Duke AI Health Spring Showcase
[certification] Passed the examination for Certified Associate in Project Management, issued by the Project Management Institute
March
2022
[poster] Presented [In Progress] Developing a Deep Learning Pipeline to Measure the Hip-Knee-Ankle Angle in Full Leg Radiographs at the Duke AI Health Showcase
December
[conference] Attended professional development workshops at the Joint Statistical Meeting in Washington, DC
August
[certification] Received the Google Project Management Certificate
July
[outreach] Served as Senior Teaching Assistant for the Duke Machine Learning Summer School
June
[outreach] Served as Teaching Assistant for the Duke Machine Learning Virtual Winter School
January
2021
[career] Began the Duke AI Health Data Science Fellowship in Durham, NC
September
[education] Graduated from UCF with a Master of Science in Computer Engineering
August
[award] Terminated the NSF GRFP due to mental health
April
2020
[education] Started pursuing a PhD in Computer Engineering at UCF
August
[education] Graduated from UCF with a Bachelor of Science in Computer Science and Minor in Cognitive Science
[award] Received the Fulbright Research Grant to conduct medical image analysis research in Lubeck, Germany - declined due to COVID-19
April
[award] Received the NSF Graduate Research Fellowship to pursue a PhD in Computer Engineering at UCF
2019
[publication] INN: Inflated Neural Networks for IPMN Diagnosis was accepted into the International Conference on Medical Image Computing and Computer Assisted Intervention
October
[outreach] Served as a Peer Mentor for the Summer Research Academy
July
[outreach] Traveled to Chiapas, Mexico for a service learning trip, where I taught English and Ultimate Frisbee to middle school students
June
[publication] Brown Adipose Tissue Activation Detected by Artificial Intelligence Assisted Radiomics: An Early Biomarker for Pancreatic Ductal Adenocarcinoma (PDAC) was published in Gastroenterology and presented at Digestive Disease Week
May
[conference] Presented Fundamentals of Target Classification Using Deep Learning at SPIE Symposium on Defense and Commercial Sensing in Baltimore, MD, winning the Best Student Paper Award
[outreach] Began serving on the Student Undergraduate Research Council
April
[poster] Presented Abdominal Adipose Tissue Quantification Using Deep Capsule Networks at the UCF Showcase for Undergraduate Research Excellence
2016
[education] Started pursuing a BS in Computer Science at the University of Central Florida