Graduate Research Assistant

• Aug 2021 - Present

Graduate Teaching Assistant

• Aug 2022 - Dec 2022

BMES 2104: Introduction to Biomedical Engineering BMES 2104: Introduction to Biomedical Engineering

Commonwealth Cyber Initiative SG-Prize

• Feb 2022 - May 2022

• Developed a second-place neural network model with four other college students across Virginia to estimate quarterly COVID-19 cases for each U.S. county based on its satellite imagery • Presented on the model’s inputs/outputs, final loss and accuracy statistics, and open-ended approaches to data science collaboration • Developed a second-place neural network model with four other college students across Virginia to estimate quarterly COVID-19 cases for each U.S. county based on its satellite imagery • Presented on the model’s inputs/outputs, final loss and accuracy statistics, and open-ended approaches to data science collaboration

Research Trainee, NIH Post-Baccalaureate Research Education Program

• Jul 2020 - Jul 2021

Courses Taken: Engineering Mathematics, Effective Grant Writing, Responsible Conduct of Research Primary Appointment: Advanced Vehicle and Technology Research Lab, Virginia Tech Transportation Institute Research Mentor: Dr. Miguel Perez, Professor of Biomedical Engineering & Mechanics • Assess 1,800+ videos of driver interactions with emergency vehicles to characterize driver response. • Research convolutional neural networks to understand machine learning as applied to pose detection among drivers. Lab Rotation (4 Weeks): Occupational Ergonomics and Biomechanics Laboratories Research Mentor: Dr. Michael Madigan, Professor of Industrial and Systems Engineering • Analyzed walking videos to associate markers with the location and direction of anatomical features. Lab Rotation (4 Weeks): Center for Advanced Automotive Research, Virginia Tech Transportation Institute Research Mentor: Dr. Zachary Doerzaph, Professor of Biomedical Engineering & Mechanics • Constructed and visualized a crash dataset based on driving events over time. Show less

Undergraduate Research Assistant of Interdisciplinary Studies & Physics

• May 2019 - May 2020

• Wrote unsupervised computer vision algorithms using Python to find, identify, and follow gait markers placed on senior adults in videotaped walking tests • Plotted marker trajectories for reconstructing walking models with automated step height and ankle dorsiflexion angle measurements • Pursued an individual capstone project that used miniature cameras mounted to the feet and processed walking data using computer vision to determine step height from the image foreground and background • Post-processed time-series data using Python to describe gait events that accelerometers had recorded wirelessly and non-invasively • Gained knowledge of the engineering design process in both individual and team environments • Enhanced ongoing efforts between the Departments of Physics and Kinesiology & Health Sciences to correct aging-related factors that can result in falling • Delivered two posters and oral presentations centered on gait characterization sensor technologies • Received a $5,000 grant from the Charles Center at William & Mary for a summer honors fellowship • Published an honors thesis titled “Gait Characterization Using Computer Vision Video Analysis” • Submitted a capstone team report titled “Gait Analysis by Angular Step Mapping for Fall Risk Prevention Research” Show less

Reporting Fellow

• Sep 2019 - Apr 2020

Undersecretary of Neurodiversity

• Feb 2019 - Apr 2020

• Co-hosted an alumni speaker event emphasizing the intersectionality of LGBTQ and autism populations • Moderated two employment discussion panels addressing disability advocacy and accommodations • Facilitated communications regarding a dinner event supporting chronic illness • Co-hosted an alumni speaker event emphasizing the intersectionality of LGBTQ and autism populations • Moderated two employment discussion panels addressing disability advocacy and accommodations • Facilitated communications regarding a dinner event supporting chronic illness

Winter Extern

• Jan 2020 - Jan 2020

Undergraduate Research Assistant of Neuroscience

• Sep 2018 - Dec 2018

• Conducted computational research on neurexin mutations leading to dynamic neuronal network activity • Wrote MATLAB algorithms of the Hodgkin-Huxley and Euler equations to generate the inhibition of two neurons in terms of action potential and synaptic input • Prepared a report titled “A Computational Study of Neurexin Mutations Leading to Dynamic Neuronal Network Activity” • Conducted computational research on neurexin mutations leading to dynamic neuronal network activity • Wrote MATLAB algorithms of the Hodgkin-Huxley and Euler equations to generate the inhibition of two neurons in terms of action potential and synaptic input • Prepared a report titled “A Computational Study of Neurexin Mutations Leading to Dynamic Neuronal Network Activity”

Intern, Aspiring Scientist Summer Internship Program

• Jun 2018 - Aug 2018

• Conducted bioinformatics research on the use of whole-genome genotyping data to identify single nucleotide polymorphisms in genes that are related to autism spectrum disorders • Collaborated with other interns on an assistive GPS navigation device that benefits hard-of-hearing drivers • Received a maximum $4,000 stipend award for unpaid interns from the Cohen Career Center at William & Mary • Presented a poster titled “Identification of SNPs Relating to Autism Spectrum Disorders Using Whole Genome Genotyping Data” Show less

Undergraduate Teaching Assistant

• Jan 2018 - Apr 2018

• CHEM 254: General Chemistry Laboratory II (Spring 2018, 1 semester credit) • Assisted 24 general chemistry students with weekly lab assignments while managing a laboratory • Read lab worksheets to formulate strategies that resulted in the consistency of a lab grade average above 90 percent • CHEM 254: General Chemistry Laboratory II (Spring 2018, 1 semester credit) • Assisted 24 general chemistry students with weekly lab assignments while managing a laboratory • Read lab worksheets to formulate strategies that resulted in the consistency of a lab grade average above 90 percent