Hey, I'm Varun...Varun Sendilraj

Varun Sendilraj
BACKGROUND

Hi, I’m Varun—a student at GT with a passion for bridging Biomedical Engineering and Computer Science. My journey so far spans academia, industry, and entrepreneurship, each offering unique challenges and invaluable lessons.

In academia, I’ve immersed myself in research, working in four labs (including internationally) and contributing to the field with four published papers in journals and conferences. Through this, I’ve learned that solving meaningful problems requires patience, a willingness to ask difficult questions, and the discipline to pursue answers no matter how elusive they may be.

In industry, I’ve worked with leading medical device companies, where I’ve seen firsthand how ideas evolve from concepts to impactful solutions in the real world. The key lesson? Execution is everything. Brilliant ideas fall flat without the systems, teams, and persistence to bring them to life.

Entrepreneurship is where I first tested my ability to create something from scratch. In high school, my friends and I built an automated IoT hydroponics system, turning it into a profitable business that generated over $5,000 in revenue. That experience—and the ventures I pursued afterward—taught me the value of perseverance, adaptability, and building products with the end user in mind.

Today, I’m focused on solving technically challenging problems—like explainable AI for healthcare and AI-powered small molecule drug discovery—while also pursuing simpler, creative endeavors like building fun, beautiful consumer apps. Whether it’s tackling complexity or crafting simplicity, I’m driven by the same goal: to create things that make a real difference.

AWARDS & RECOGNITION
🏆
PhysioNet ML Challenges Best Paper '24
Top Submission & Wild Card Entry - ECG Digitization Research
🚀
PitchRx Founder '24
SE Largest Healthcare Competition - Backed by Mayo Clinic
🎓
Nakatani RIES Scholar '23
1 of 10 GT BME Students Selected for fully funded Japan Research
🧬
iGEM Top 10 in the world '23
International Synthetic Biology Competition
💡
iGEM EPIC Grand Prize Finalist '22
International Startup Biohackathon
🔬
ADA Scientific Sessions '22
Published in Diabetes® Journal & Presented at Large Diabetes Conference
PUBLICATIONS
2024
Computing in Cardiology
Paper ECG Digitization Using Deep Learning
2024
Frontiers in Endocrinology
DFUCare: AI-Powered Ulcer Assessment
2023
Mass Spectrometry Society of Japan
Open-MSI: GUI for TOF-MS Analysis
2022
BioRxiv
PLATE-Q: Frugal Microplate Reader
2022
Diabetes®
DFUCare: Deep Learning Mobile App for Ulcer Monitoring

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