CV

Education

• Ph.D. in Electrical Engineering, Case Western Reserve University — Expected 2028
• Dual B.S. in Electrical & Computer Engineering, University of Kentucky — 2024, with Distinction

Work experience

Research Experience

Augmented Intelligence for Smart Manufacturing (AISM) Lab – Graduate Research Assistant, CWRU (2024–Present)

QUAN: Quaternion Approximate Networks

• Developed the first quaternion-based object detection framework
• Implemented custom forward and backward CUDA kernels and quaternion autograd ops, achieving SOTA performance on COCO and DOTA with ¼ the parameters of baseline models and comparable inference time
• Researching structured optimization over the Hamilton product representations in quaternion networks to identify task-specific configurations for improved geometric learning

SPARK: Sequential Planning via Anchored Robotic Keypoints

• Designing an interpretable robot planning framework that represents manipulation tasks as symbolic “scores” of keypoint-anchored actions

Augmented Intelligence for Smart Manufacturing (AISM) Lab – Undergraduate Research Assistant, University of Kentucky (2023–2024)

• Collected and annotated industrial datasets; developed RGB-D oriented object detection model with CNNs and vision transformers
• Achieved 0.92 mAP @ IoU 0.5–0.95; integrated model into robotic arm control stack for factory simulation

Industry Experience

HP — Ph.D. Machine Learning Intern, Summer 2024

• Designed ensemble forecasting system for cloud spend using LSTM, ARIMA, and STL decomposition
• Built RAG-based conversational agent using FAISS + LangChain for intelligent printer setup guidance while evaluating the performance of various LLMs, retrieval methods, text chunking, and query expansion techniques
• Prototyped topic-aware customer support retriever system using BERT + clustering for call transcript search

Honeywell — Embedded Systems Intern, Summer 2023

• Developed embedded API for fire safety device firmware, improving resiliency and signal integrity
• Designed microcontroller fallback system to prevent ASIC and EEPROM failure-induced production halts

Lexmark — Electrical Engineering Intern, 2022–2023

• Developed python apps for controlling test hardware for laser imaging systems
• Automated sensor alignment and improved test reliability for laser scanning subsystems

Selected Projects

Causal PointNet - Causality and Inference Graduate Project, Case Western Reserve University (F. 2024)

• Integrates structural causal models into DenseFusion to correct for confounders like symmetry and viewpoint variation in 6D pose estimation
• Uses targeted interventions and backdoor adjustment

Probabilistic Digital Twins for Robots at Scale - Probabilistic Graph Models Graduate Project, Case Western Reserve University (S. 2025)

• Built a ROS2-integrated Dynamic Bayesian Network using UKF to estimate UR robot friction, damping, and health over time
• Enables fault detection and evolving simulation from real-time sensor streams

DDPMs for Robotics Survey - Stochastic Modeling Graduate Project, Case Western Reserve University (S. 2025)

• Implemented a NoProp-style denoising diffusion model with applications in stochastic robot control and sequential decision modeling
• Includes theoretical grounding in Markov processes and SDEs

PET Reconstruction with Convex Optimization - Convex Optimization Graduate Project, Case Western Reserve University (S. 2025)

Reconstructed PET scan images from detector data by maximizing log-likelihood using sparse matrix operations and KKT conditions

• Derived and implemented Hessian gradient updates and visualized convergence

Electrical and Computer Engineering Department - J.A.R.V.I.S. Navigation Systems Lead, University of Kentucky (2023)

• Designed and implemented vision and navigation systems for a telehealth robot within a full-stack, Zoom-integrated application utilizing multithreaded architecture for autonomous and manual navigation, and seamless websocket communication
• Utilized SLAM, LiDAR sensors, and machine learning methods for object detection and mapping of the robot’s environment

Skills

Languages: Assembly, Bash, C/C++, CUDA, MATLAB, Python

Frameworks: PyTorch, TensorFlow, ROS2, OpenCV, Open3D

Tools: Ansys, AWS EC2/S3, Docker, Flask, FAISS, Git, LangChain, MuJoCo, SolidWorks, Wireshark

Concepts Causal Inference, Computer Vision, NLP, RAG, Robotics, Self-Supervised Learning

Spoken languages: English (Native), French (Fluent), Russian (Conversational)

Publications

Quaternion Approximate Network

B. Grant and P. Wang, “Quaternion Approximate Networks,” arXiv.org, Mar. 1, 2025.

Leadership

MATLAB Student Ambassador – MathWorks, 2024–Present

• Organized workshops, demos, and campus-wide outreach for MATLAB applications in research and industry
• Planned and executed an ML hackathon

  Region III Finance Chair – NSBE, May 2023 - May 2024

• Raised over $250,000 in sponsorships while orchestrating a career fair with 50+ orgs in attendance.

Honors & Awards

• NSF GRFP Fellowship
• University of Kentucky Dean’s List: 9 semesters