Machine Learning is a
very efficient means of unveiling connections
between data types. As data continues to
explode, the power of ML grows exponentially.
Being useful across almost every discipline of
science and research, ML is a valuable skill I
am trying to learn more every day.
Research
Interests in
quantum, plasma propulsion,
and metamaterials
3 years of lightning
data and sensor research
Researched under Dr.
Daile Zhang, Dr. Ryan Said, Dr.
Jarred Young, and more
Research is all about exploring the unknown and
learning along the journey. My goal is to be at
the forefront of technological innovation and
uncover new technologies to help as many people
as possible. Although I understand that I have a
long way to go, I am determined to gain as much
research experience as possible to prepare
myself for my desired career in research.
Education
Teaching Fellow -
ENES100 (Introduction to Engineering
Design)
Former Academic Peer
Mentor for CHEM135 (General
Chemistry for Engineers)
I am blessed to have
had passionate and caring teachers my entire
life. I strive to one day match these teachers'
immensely positive impacts on countless
students. I plan to gain experience in research
and education to assist in my voyage of becoming
a professor.
Experience
National Institute of
Standards and Technology (NIST) - Engineering
Lab
June 2024 - Present
Summer Undergraduate Research
Fellowship - 3D Sensor Noise Research
Maryland Robotics Center -
Tubaldi Lab
Feb 2024 - Present
Undergraduate Research Assistant
- Bistable Arch Research
Space Power and Propulsion
Laboratory, College Park MD
Sept 2023 - Present
Research Assistant - Plasma
Propulsion Research
UMD Earth System Science
Interdisciplinary Center, College
Park, MD
June 2021 - May 2023, Sept 2023 -
May 2024, Sept 2024 - Dec 2024
Undergraduate Research
Assistant
- Atmospheric Electricity
Research Team
Vaisala
United States
Headquarters, Boulder, CO
May 2023 - Aug 2023
Giant Leap Intern - Lightning
Sensor
Data Analysis
UMD
Keystone Department, College
Park, MD
Aug 2023 - Present
Undergraduate Teaching Fellow
-
Introduction to Engineering
Design
UMD
Vertically Integrated
Projects, College Park, MD
Jan 2024 - Present
At-Home Fluids Research
Project -
Fan
Module and Boundary
Layer Team Members
UMD
Chemistry Department
Jan 2023 - Dec 2023
Academic Peer Mentor -
Chemistry
for
Engineers
Conference Publications
First Author - 2023 AMS - Developing a Blended Lightning
Dataset and its Applications
Oral Presentations
Presenting Author - 2023 AMS - Developing a Blended
Lightning Dataset and its Applications
Presenting Author - Invited Talk at Cooperative
Institute
Mid-term Review - Developing a Blended Lightning Dataset
and
its Applications
Author - 2022 GLM Annual Science Team Meeting -
Developing a
Raspberry Pi-based Camera Network and Its
Applications
Poster Presentations
Presenting Author - 2023 AGU - A Sensor-Level Analysis
of
Higher Effective Peak Current of Intracloud pulses in
GLD360
relative to the NLDN
Presenting Author - 2021 AGU - A Case Study
Intercomparing
MALMA and GLM
Author - 2022 AGU - Developing & Deploying Tools to
Better
Observe Lightning in the Washington D.C. Area &
Beyond
