I'm a PhD student in Electrical and Computer Engineering at the University of Michigan working with Dr. Michael P. Flynn in the Flynn Research Group. I earned my BSE in Computer Science and Engineering in May 2025 (also from U-M). My research focuses on Ising machines and other analog computing architectures that achieve 100-1000x energy efficiency over digital systems.
- C/C++
- Python
- Java
- Assembly (RISC-V, ARM)
- Verilog/SystemVerilog
- MATLAB
- LTSpice
- Altium
- AutoCAD
- Cadence
- PCB Layout
- Circuits
- Digital Systems
- Analog Systems
- System Architecture
Analog computing chip that solves Boolean satisfiability problems using coupled oscillators, consuming 757x less energy than digital approaches. The oscillators naturally converge to valid solutions through physical dynamics rather than sequential computation. Published at ISSCC 2025.
Analog signal processing chip for wireless error correction using oscillator-based voting. Six coupled oscillators collectively decode corrupted signals with 11x lower power than digital alternatives. Critical for satellite and 5G systems.
Multi-chip analog and digital system for solving NP-hard optimization problems faster than CPUs. Implements problem decomposition algorithms and hardware-software interfaces for mapping complex constraints to oscillator networks. Developed in collaboration with NASA Quantum Artificial Intelligence Laboratory (QuAIL).
Signal processing chip for 5G beamforming across 64 antenna elements. Achieves 1.4pJ/bit efficiency through distributed phase control and streaming interfaces. Reduces base station power consumption by 30x while maintaining mmWave link quality.
Real-time optimization tool for solar vehicle racing. Implements dynamic programming algorithms for route planning under stochastic weather and energy constraints. Processes telemetry streams to maximize average speed while maintaining power reserves.
AI-powered optimization tool for resume-job matching. Uses NLP to extract keywords and visualize application fit in 3D space. Implements TF-IDF algorithms to maximize ATS compatibility scores.
Data analysis platform processing 5000+ university courses. Visualizes workload distributions, grade trends, and enrollment patterns through interactive dashboards. Transforms scraped course data into actionable insights for academic planning.
Real-time typing performance analyzer with sub-millisecond keystroke timing. Measures WPM and accuracy against a curated corpus while providing instant visual feedback.
Sentiment analysis system comparing mainstream and social media coverage. Uses Azure AI to quantify perception gaps between NYT articles and Reddit discussions on identical topics.
Sub-10μV noise power controller for analog computing research. Real-time regulation via RTOS maintains stable voltages for oscillator-based computation. Essential infrastructure enabling low-power analog chip measurements.
Interactive visualization tool for graph algorithms including Dijkstra, A*, BFS, and DFS. Animates pathfinding decisions in real-time on customizable grids. Used in Michigan CS courses for algorithm education.
Official Minecraft adventures reaching 250K+ players. Implemented complex game logic through command block algorithms creating puzzles, state machines, and interactive narratives. Featured on Minecraft.net with 35M+ YouTube views.
Real-time swimming pace trainer implementing official start sequence algorithms. Provides millisecond-accurate timing for race visualization and stroke rate synchronization.