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Research Scientist Intern

Meta Reality Labs

• Implemented real-time C++ hand pose estimation and IK solver pipeline on the Glove Sensing and Tracking Team, achieving best-in-class accuracy and occlusion robustness for full dexterous hand pose capture.
• Led algorithm development resulting in first-author IROS submission on a fiber optic sensing glove for high-performance dexterous manipulation capture.

PhD Researcher

Center for Bionic Medicine, Shirley Ryan AbilityLab

• Designed and validated deep learning models for monocular biomechanical pose estimation and uncalibrated IMU–video sensor fusion, achieving joint angle errors <3° across neurological, prosthesis, and pediatric populations; 8 peer-reviewed publications. Developed OpenCV-based multi-camera calibration pipelines (intrinsic and extrinsic) for markerless motion capture deployment across clinical sites.
• Developed the Portable Biomechanics Laboratory — a cloud-enabled smartphone gait analysis system achieving ICC > 0.9 for gait metrics and greater sensitivity to decompression surgery outcome than standard mJOA patient-reported outcomes.
• Trained a contrastive learning + causal masking transformer on unannotated clinical gait data; demonstrated learned embeddings classify neurological diagnosis and track response to inpatient therapy.

Fulbright-Mitacs Globalink Intern

Neuromuscular Control & Biomechanics Laboratory

• Computationally modeled seated human trunk biomechanics under Functional Electrical Stimulation (FES) and designed LQR and fuzzy inference (FIS) feedback controllers; validated closed-loop stability in simulation.

Undergraduate Researcher

MU Neural Engineering Laboratory

• Developed and optimized a closed-loop gamma oscillation detection and modulation algorithm achieving <2 ms latency on embedded hardware; open-sourced on GitHub.

Undergraduate Researcher

Pulmonary Imaging Research Laboratory, University of Missouri

• Built a semi-automated image segmentation, registration, and quantification pipeline enabling large-cohort comparison of 129Xe MRI vs. 99mTc SPECT; first-author publication in Academic Radiology (2024).
• Received Audience Choice Award for oral presentation at International Workshop on Pulmonary Functional Imaging (2019).

MS, PhD

Northwestern University / Shirley Ryan AbilityLab

Biomedical Engineering

• GPA: 3.81

  Center for Bionic Medicine, Shirley Ryan AbilityLab

• NSF Graduate Research Fellowship (2022); NIH T32 Training Grant (2024)

Rotation Student

Washington University in St. Louis

Biomedical Engineering

• GPA: 3.58
• Rotations in cervical myelopathy motion characterization, EEG decoding, and spinal cord stimulation

BS

University of Missouri

Biomedical Engineering

• GPA: 3.92

  Emphasis: Bioinformatics

  Minor: Mathematics

• Honors Scholar; Dean’s List (all semesters)

Teaching Assistant — Biomedical Applications of Machine Learning

Northwestern University

• Instructed graduate students in Python-based ML including data preprocessing, regression, tree-based methods, DNNs, and CNNs.

Teaching Assistant — Advanced Hydroinformatics

University of Missouri

• Created curriculum introducing graduate students to scientific data manipulation and parallel computation job submission on HPC clusters.

Probabilistic Monocular Biomechanical Reconstruction via Guided Flow Matching

Fiber Optic Sensing Glove for High Performance Dexterous Manipulation Capture

Monocular Markerless Motion Capture Enables Quantitative Assessment of Upper Extremity Reachable Workspace

Differentiable Biomechanics for Markerless Motion Capture in Upper Limb Stroke Rehabilitation: A Comparison With Optical Motion Capture

Portable Biomechanics Laboratory: Clinically Accessible Movement Analysis from a Handheld Smartphone

Efficacy and feasibility of synergy-based multichannel functional electrical stimulation for chronic stroke gait rehabilitation: a pilot study

Fusing Uncalibrated IMUs and Handheld Smartphone Video to Reconstruct Knee Kinematics

Biomechanical Arm and Hand Tracking with Multiview Markerless Motion Capture

Hyperpolarized 129Xe MRI, 99mTc scintigraphy, and SPECT in lung ventilation imaging: a quantitative comparison

Optimizing Trajectories and Inverse Kinematics for Biomechanical Analysis of Markerless Motion Capture Data

Self-Supervised Learning of Gait-Based Biomarkers

Enhanced selectivity of transcutaneous spinal cord stimulation by multielectrode configuration

Markerless Motion Capture and Biomechanical Analysis Pipeline

Speaker

National Biomechanics Day

Developed interactive sessions for high school students on biomechanics, prosthetics, computer vision, and AI for medical image analysis.

Peer Reviewer

BioRob, IROS, iScience, CMBBE — Imaging & Visualization

Site Leader

Mizzou Alternative Breaks

• Organized a week-long adaptive sports service trip (Ski Apache, NM) for 12 participants; assisted in instruction of students with visual, cognitive, and physical disabilities.