Emergency Medicine and Quality Assurance Scribe

University of Virginia Health System, Department of Emergency Medicine

Charlottesville, VA

• Documented emergent patient encounters using EPIC Hyperspace.
• Inspected prior charting for medical coding and insurance billing purposes.

Undergraduate Teaching Assistant

Department of Biomedical Engineering, University of Virginia

Charlottesville, VA

Spring 2021: BME 2102, Physiology II for Engineers

Course Instructor: Dr. George Christ, Ph.D.

• This course covered renal, gastrointestinal, endocrine, and central nervous system physiology.

Fall 2020: BME 3310, Biomedical Systems Analysis & Design

Course Instructor: Dr. Sepideh Dolatshahi, Ph.D.

• This course covered analytical tools utilized to model signal and linear systems for biomedical applications.

Spring 2020: BME 2101, Physiology I for Engineers

Course Instructor: Dr. William Guilford, Ph.D.

• This course presented a comprehensive overview of how excitable tissue, nerves and muscle, and the cardiovascular and respiratory systems function in the context of pathophysiologies.
• Independently lectured on cardiac rhythmicity, muscle excitation, and Wolff-Parkinson-White syndrome.

Investment Analyst Intern

NanoVest Financial

Chapel Hill, NC (REMOTE)

• Investigated grant proposals of university IP for Nanovest's novel machine learning platform.
• Researched public markets, private markets, and related prior art.
• Evaluated IP based on barriers to market entry and commercial competition.

Flooring Sales/Retail Associate

Home Depot

Ashburn, VA

Front End Associate

Harris Teeter

Ashburn, VA

Structural Racism and Influenza Vaccination During Pregnancy

Department of Biomedical Engineering, University of Virginia

Charlottesville, VA

• Analyzed effects of asynchronous influenza vaccination on perinatal outcomes in Virginia and Brazil.
• Co-authored a peer-reviewed manuscript published in CDC's Emerging Infectious Diseases.

Link Laboratory for Cyber-Physical Systems Research

School of Engineering and Applied Science, University of Virginia

Charlottesville, VA

Principal Investigator: Dr. Lu Feng, Ph.D.

• Developed a centralized EHR for dead-donor kidney transplant candidates through use of LAMP stack.
• Utilized machine learning techniques to generate a patient-specific risk score.
• Collaborated on a poster submitted to the AMIA 2021 Informatics Summit.

Biomedical Optics and Ultrasound Laboratory

Department of Biomedical Engineering, University of Virginia

Charlottesville, VA

Principal Investigator: Dr. Song Hu, M.S. Ph.D.

• Investigated murine metabolic function through utilization of multi-parametric photoacoustic microscopy.
• Programmed in C++ to process imaging.
• Aimed to better understand metabolic dysfunction in disorders such as Alzheimer's Disease.

Pathology Laboratory Research

Children's Hospital of Michigan & Wayne State Robotics Laboratory

Detroit, MI

Principal Investigator: Dr. Michael Klein, M.D.

• Developed a program to classify Raman spectroscopy data of colon tissue from a Raman Spectrometer as ganglionic or aganglionic.
• Aimed towards constructing a probe for minimally invasive diagnosis of Hirschsprung's Disease.
• Utilized Python and machine learning techniques for analysis.

Air Quality Twitter Bot

School of Data Science, University of Virginia

Charlottesville, VA

• Constructed a Twitter Bot that responds to user queries of global air quality and temperature information.
• Utilized Python3, Twitter's Developer API, Docker, and Amazon Web Services for continuous running.

Pokédex Discord Channel Integration Application

School of Data Science, University of Virginia

Charlottesville, VA

• Constructed an application that retrieves information from PokéAPI and posts it into a Discord channel.
• Utilized Python3, Discord's Developer API, and Docker to automate the process.

Analyzing Attitudes of Mental Health in the Workplace using Machine Learning

School of Data Science, University of Virginia

Charlottesville, VA

• Analyzed a 2014 Open Sourcing Mental Illness dataset to capture attitudes of mental health in the workplace.
• Utilized scikit-learn, Python, Random Forest, Grid Search Cross-Validation to train a machine learning model
• Conducted exploratory data analysis, feature engineering, and hyperparameter tuning.

Melanoma Skin Lesion Classifier

Department of Computer Science, University of Virginia

Charlottesville, VA

• Constructed a convolutional neural network to screen skin lesions for melanoma and seborrheic keratosis.
• Utilized TensorFlow, Keras API, and Python.
• Leveraged state-of-the-art DenseNet architecture, acheiving a predictive accuracy of 65%.

United States' COVID-19 Region Vulnerability

School of Data Science, University of Virginia

Charlottesville, VA

• Identified vulnerable US regions with respect to confirmed COVID-19 cases per staffed hospital bed.
• Utilized R and Javascript.
• Analyzed datasets obtained from the New York Times and American Hospital Directory.

Clinical Scholars Grant Project

Department of Biomedical Engineering, University of Virginia

Charlottesville, VA

• Pursued a novel medical device to aid patients' experiences with neurodegenerative muscular disorders.
• Awarded NIH R25 Grant from the Department of Biomedical Engineering.

Electrocardiogram

Department of Biomedical Engineering, University of Virginia

Charlottesville, VA

• Constructed 4-Stage ECG using a breadboard, electrical circuit components, electrodes, and an oscilloscope.
• Reproduced a waveform when hooked up to a 20-year old, 190-lb patient.
• Reproduced instantaneous 3D cardiac vector by performing vectorcardiography.

Intravenous Infusion Pump

Department of Biomedical Engineering, University of Virginia

Charlottesville, VA

• Constructed an IV Infusion Pump through utilization of AutoCAD, an Arduino microcontroller, and 3D Printing.

Raven Society

University of Virginia

Charlottesville, VA

• Inducted into UVA's oldest and most prestigous secret honor society.

Tau Beta Pi Engineering Honor Society

University of Virginia

Charlottesville, VA

• Inducted into UVA's chapter of Tau Beta Pi.

Intermediate Honors

School of Engineering and Applied Science, University of Virginia

Charlottesville, VA

• Awarded for taking 60 graded credits during first four semesters and maintaining a GPA above 3.853.

Clinical Scholars NIH R25 Grant Recipient

Department of Biomedical Engineering, University of Virginia

Charlottesville, VA

• Awarded NIH R25 Grant to pursue novel medical device outlined above.

Dean's List

School of Engineering and Applied Science, University of Virginia

Charlottesville, VA

• Awarded for consistently maintaining a high GPA.

National AP Scholar

Stone Bridge High School

Ashburn, VA

• Earned an average score of at least 4 on all AP Exams, and scores of 4 or higher on eight or more exams.

National Merit Scholarship Commendation

Stone Bridge High School

Ashburn, VA

• Earned a PSAT Score in the Selection Index of 209 or above for the Class of 2017.
• Among the 50,000 highest scoring participants out of 1.6 million program entrants nationwide.

Young Scientist Award

George Washington University Virginia Science and Technology Campus

Ashburn, VA

• Placed first in the 2016 Loudoun Regional Science and Engineering Fair Animal Sciences category.
• Research Project: The Effect of Sublethal Exposure of the Pyrethroid Insecticide Cyfluthrin on Interspecies Aggression and Predation of the Model Organism Lycosidae (Wolf Spider)

Kitchen Assistant and Server

The Haven Homeless Shelter

Charlottesville, VA

• Cooked and served food to homeless inhabitants of Charlottesville, Virginia.

Student Instructor/Course Advisor

Department of Biomedical Engineering, University of Virginia

Charlottesville, VA

• Pioneered and instructed "BME 1501: Innovations in Prosthetics", providing an overview of prosthetics while also introducing research paper analysis and grant proposal construction techniques.

Administrative Assistant

Loudoun Free Clinic

Leesburg, VA

• Collaborated with executive board committee to review donor entries and update communicative procedures through eTapestry.
• Helped with financial paperwork remotely and performed front desk administrative procedures in clinic.