About Me
I’m Andrei, a senior in Montgomery Blair High School’s competitive Magnet STEM Program in Maryland. With a 4.0 GPA and a passion for applying artificial intelligence to solve real-world medical challenges, I’m working toward a future where technology can provide answers to some of medicine’s most complex questions.
Current Research & Projects
Right now, I’m actively involved in cutting-edge research at two prestigious institutions. At the Broad Institute, I’m contributing to a project, which integrates genetic evidence into unified frameworks for complex trait analysis. My work focuses specifically on Eosinophilic Esophagitis (EoE), using proxy phenotypes to identify genetic factors that influence this condition.
At Johns Hopkins University, I’m collaborating on machine learning models that predict cytokine responses from single-cell RNA sequencing data. We’ve achieved great accuracy in classifying cytokine families, particularly those involved in the inflammatory processes that drive EoE.
Beyond formal research, I created Code4Cure.com, a comprehensive medical portal featuring a multi-agent AI system that serves EoE patients across nine languages. This platform combines real-time research integration from PubMed and Google Scholar with evidence-based medical guidance, providing patients with current information about their condition.
Academic Excellence & Leadership
My academic journey has been marked by consistent achievement across multiple AP courses, including perfect scores in Computer Science A (taken in 9th grade), Computer Science Principles (8th grade), Calculus BC, Statistics, and Government. I’ve also excelled in Montgomery Blair’s specialized magnet courses, from Algorithm and Data Structures to advanced topics like Quantum Physics and Neuroscience.
As founder of Montgomery Blair’s AI/ML Club, I teach my peers advanced concepts including neural evolution of augmenting topologies (NEAT), generative adversarial networks (GANs), and reinforcement learning. It’s rewarding to share these complex topics through hands-on projects and practical applications.
Competitive Programming & Robotics
Programming competitions have been a significant part of my high school experience. I’ve placed 2nd at the University of Maryland’s High School Programming Contest and achieved Silver level in the USA Computing Olympiad (USACO). These competitions have sharpened my problem-solving skills and deepened my understanding of algorithms and data structures.
As a member of the FIRST Robotics Team 449, I’ve led initiatives to develop dynamic autonomous paths using real-time camera vision. Our team has achieved remarkable success, including Division Semifinalist status at the World Championship and multiple district event wins with awards for innovation and quality.
Advocacy & Community Impact
One initiative I’m particularly proud of is my campaign for allergen transparency in Maryland restaurants. After experiencing firsthand how challenging it can be to dine safely with food restrictions, I started a petition that has gathered over 850 signatures. This led to meetings with legislators, including Congressman Jamie Raskin, and I’m now working with Maryland Representative Carr to advance legislation requiring restaurants to label allergens on their menus.
Through my President’s Volunteer Service Award, I’ve contributed over 100 hours of community service, including volunteer work during the 2024 presidential election to support voter engagement and polling site operations.
Technical Skills & Interests
My programming expertise spans Java, Python, Kotlin, and C++, with particular strength in machine learning frameworks and cloud computing platforms. I’m proficient with Google Cloud Platform, have completed specialized AI courses through Google’s Startup School, and regularly work with advanced tools like Vertex AI and various data analysis libraries.
When I’m not coding or researching, you’ll find me on the tennis court as a starting player on Montgomery Blair’s varsity team. We won the state championship in 2023 and placed third in 2025. Tennis teaches me discipline and strategy that carries over into all aspects of my work.
Looking Forward
My goal is to continue expanding my research contributions in computational biology and AI applications in healthcare. I believe that the combination of advanced machine learning techniques with personalized medical data can unlock new treatments for conditions like EoE and many other diseases that currently have limited therapeutic options.
Whether I’m training AI models, competing in programming contests, or working to make restaurants safer for people with dietary restrictions, everything connects back to my core belief: technology should be used to solve problems that improve people’s lives. That’s what drives me every day, and it’s what I plan to focus on throughout my career in computer science and medical research.