Professional Experience
PneuTech - Medical Device Startup
Overview
Co-founder and lead of PneuTech, dedicated to improving the safety and efficacy of lung biopsy procedures. We have developed a novel biopsy needle attachment device, which is patent pending, that enables clinicians to safely sample adequate tissue for cancer diagnosis, research, and personalized treatment.
Background
I co-founded PneuTech in Fall 2019 along with a team of 7 biomedical engineering students as part of the JHU Biomedical Engineering Undergraduate Design Team Program. We were approached by Dr. Robert Liddell, an interventional radiologist from Johns Hopkins Hospital, who was facing challenges with the current standard of care biopsy needle and procedure. Since completing the Design Team Program in Spring 2020, we spun out to become PneuTech, and have since raised over $60k in non-dilutive funding and are on track for completing animal studies in 2025.
Achievements
Rice Business Plan Competition 2022 Finalists.
VentureWell E-Team Program 2022 Spring Cohort.
University of Minnesota Design of Medical Devices Conference Emerging Medical Innovation Valuation 2022 Finalists.
Draper Competition 2021 & 2022 Semi-Finalists.
Carnegie Mellon University Venture Challenge 2021 1st Place Winner.
Johns Hopkins Business Plan Competition 2021 2nd Place Winner.
Johns Hopkins FastForward Fuel Demo Day 2021 Runner-Up Winner.
Innovators of Progress 2021 Cohort.
Links and Press
Featured as a runner-up in RealLIST Startups 2024: RealLIST Startups 2024: Discover the 20 Baltimore startups shaping tomorrow’s entrepreneurial landscape Elevator Pitch: Watch the 2022 RBPC Mercury Elevator Pitch Competition
Introduction Animation: Watch the 1st Place Fall 2019 Design Team Video
Personal feature in Technical.ly Newsletter: Meet the local student-founders in the new Innovators of Progress cohort
Johns Hopkins University
Delineo - Disease Modeling Project
Founding member and co-lead of Delineo, dedicated to developing personalized prediction and interactive simulation models for the spread of COVID-19. I co-led a software development team of 17 multidisciplinary JHU students, where we leveraged machine learning methods to predict disease spread using census data and mobile geolocation data.
Teaching
In Fall 2020, I served as an Undergraduate Teaching Assistant for EN.553.171 Discrete Mathematics, under the Department of Applied Mathematics and Statistics. I held teaching assistant responsibilities, including planning and leading weekly discussion sections, holding office hours, and grading student assignments and exams.