- I am an undergraduate at the University of Notre Dame, majoring in Computer Science in the College of Engineering with a supplementary major in Mathematics for Engineers (B.S. expected May 2027).
- I am a research assistant in the Data Security and Privacy Lab (DSP-Lab), advised by Prof. Taeho Jung, where I work on privacy-preserving computation over encrypted data — private set intersection, private membership testing, and private stream aggregation under fully homomorphic encryption (FHE).
- My research interests are in applied and lattice-based cryptography: homomorphic encryption (BFV / FHE), secure multiparty computation, and formal verification for quantum algorithms with applications to post-quantum cryptography.
- Since summer 2025 I have been part of the DREU (Distributed Research Experiences for Undergraduates) program in Quantum Information Science at UMBC, advised by Prof. Lei Zhang, developing hybridized formal-verification models for quantum algorithms.
- I build software for learning and private communication: PathThruMath, Lectio, and pqmsg.
Software projects
- PathThruMath — an interactive map of mathematical concepts, searchable textbooks, hover definitions, and personalized study plans.
- Lectio — language learning through real texts, aligned translations, contextual dictionary lookup, vocabulary review, and grammar practice.
- pqmsg — a cross-platform desktop messaging prototype with post-quantum end-to-end encryption and multi-device delivery.
Education
University of Notre Dame
Selected coursework. Theory of Computing, Design & Analysis of Algorithms, Distributed Systems, Cryptography, Operating System Principles, Computer Architecture, Programming Paradigms; Real Analysis, Algebra, Theory of Numbers, Complex Variables, Probability, Honors Algebra III and Honors Analysis I (in progress).
Research experience
Data Security and Privacy Lab, University of Notre Dame
- DFPSI: Decoupled Fuzzy Private Set Intersection (submitted; 3rd author) — benchmarked quantized cosine similarity under BFV for biometric and financial data in collaboration with deep-learning models; authored the experimentation and evaluation; optimized latency and parameter choices.
- Scalable Private Membership Test over Distributed and Encrypted Data (3rd author) — built latency experiments for encrypted multi-server queries under FHE and tuned parameters for scale; applications to fraud detection and no-fly / watch-list screening.
- SLAP correction (2nd author) — corrected the security proof in SLAP, a secure multiparty protocol for private stream aggregation.
DREU — Quantum Information Science, UMBC
- Developing hybridized formal-verification models for quantum algorithms, with an application to post-quantum cryptography.
Math Tutor, Department of Mathematics, University of Notre Dame
Awards & news
- Excellence Award, National Cryptographic Technology Contest (September 2025) — for “Scalable Private Membership Test over Distributed and Encrypted Data.”
- Paper accepted to ACM AsiaCCS 2026: “Scalable Private Membership Test over Distributed and Encrypted Data.”
Technical skills
- Languages: C++, Python, C, JavaScript, SQL, LaTeX
- Libraries & tools: Node.js, Electron, SQLite, HTML/CSS, Microsoft SEAL, OpenFHE, PyTorch, NumPy, ONNX, Git, Linux, OVITO, GROMACS
- Spoken: English (native), Spanish (intermediate)