Research
Questions I'm pursuing, and space to pursue more.
I like research most when it has to survive real implementation: hardware that stalls, policies that lie to you, systems that fail in front of users. I'm always open to joining labs, collaborations, and projects where careful building is valued over polished claims.
Three threads
Neuroinformatics
Pipelines that turn preschool neuroimaging and day-long home audio into analysis-ready datasets. LEAD Lab is the anchor.
See LEAD LabEmbodied systems
Hardware bringup, cable-driven actuation, underwater sensing, and simulation built in parallel with the bench. SpiRob and BioBOT are the anchors.
Open the case studyLearning systems
Self-play reinforcement learning, search, and policy evaluation when rewards are sparse and every placement is permanent. BlokusDuo is the anchor.
Read the paper
Language, Experience, and Development (LEAD) Lab · University of Maryland

Turning preschool recordings into datasets the studies can use
SLIDE and PLANES preschool language and neural development studies. I process fNIRS/fMRI, build ASR/NLP pipelines for day-long home recordings, and fuse multimodal streams into BIDS-compliant datasets.
Recent work
- Open the case study
Neuroinformatics for preschool language and neural development: motion-corrected imaging, day-long audio pipelines, and BIDS-compliant multimodal fusion.
Role
Undergraduate research assistant · Dr. Rachel Romeo · Jun 2026 – present
NASA Neutral Buoyancy Lab - BioBOT · University of Maryland

Sensing and autonomy that survive the pool
NASA-sponsored underwater robot. I own sensing and autonomy software in ROS/ROS2, tying simulation to structured in-water pool trials.
Recent work
- Open the case study
Underwater sensing and autonomy for a NASA-sponsored robot at UMD Neutral Buoyancy Lab, with simulation tied to in-water pool trials.
Role
Undergraduate researcher · 2025 – present
Zheng Research Lab · Drexel University

Staged bringup for a tendon-driven soft arm
Tendon-driven SpiRob soft manipulators in SolidWorks, staged cable control, and GPU-accelerated simulation in Isaac Gym and MuJoCo.
Recent work
- Open the case study
Experimental soft-robotics bringup: cable-actuated SpiRob, staged motor characterization, and parallel MuJoCo / Isaac Lab simulation.
Role
Research intern · Dr. Yue (Luna) Zheng · May 2025 – Jul 2025
Pennsylvania Governor's School for the Sciences · Carnegie Mellon University

Self-play agents, and the paper that came with them
Residential program with a 7% admit rate. I led the BlokusDuo deep RL project and was main author on the peer-reviewed PGSS Journal paper.
Recent work
- Read the paper
Self-play reinforcement learning on a combinatorial board game. PPO with MCTS priors and honest evaluation against fixed reference opponents.
Role
Research fellow and main author · Dr. Neil Simonetti · Summer 2024
- Read the paper
BlokusDuo deep reinforcement learning agents: architecture and experiments
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Rare-allele recognition and quantum advantage
Papers and figures
BlokusDuo deep reinforcement learning agents: architecture and experiments
Rare-allele recognition and quantum advantage
SpiRobControls (Drexel Zheng Lab)
LEAD Lab neuroinformatics
NASA BioBOT
If something here resonates, write to me.
If something here resonates, I'd like to hear what you're working on. I'm open to joining labs, collaborations, and projects where careful building matters more than polished claims.