RINI VARGHESE, PT, PhD

Research Data Scientist | Statistical Analysis & Data Visualization

716 N Broadway, 3rd Floor, Baltimore, MD
(847) 239-2754
rvarghe9@jhmi.edu
rinivarghese.org

EDUCATION

PhD, Biokinesiology
University of Southern California
2021
MS, Rehabilitation Sciences
University of Illinois at Chicago
2014
Bachelor of Physiotherapy
Krishna Institute of Medical Sciences, India
2012

Clinical Licensure

Physical Therapist #29488 (Maryland)

Technical Skills

R MATLAB Python Git / GitHub Jupyter C# / Unity JavaScript SPSS Statistical Modeling HTML / CSS

Platforms & Tools

Virtual Reality trakSTAR Delsys EMG GaitRite Vicon / Qualisys NeuroCom REDCap / Qualtrics OpenPose MediaPipe

Research Fields

Neuroscience Motor Control & Learning Perception Biomechanics Embodied Cognition Clinical Trials Neurologic Rehabilitation

Links

PROFILE

Research data scientist with 10+ years of conception-to-product experience conducting human-subject research in motor control, learning, perception, and embodied cognition. Skilled in experimental design, IRB protocols, participant engagement, and advanced data analysis (MATLAB, R). Strong communicator with a proven ability to develop custom research tools and collaborate cross-functionally with engineers, designers, and product teams. Passionate about translating neuroscience into performance-driven innovation.

EXPERIENCE

Postdoctoral Researcher
Johns Hopkins University / Kennedy Krieger Institute
2021 – Present
  • Designed VR experimental protocols and analyzed 3D kinematic data, collaborating with engineering teams to optimize user experience for 160+ participants
  • Contributed to the development of MovementVR, an open-source platform enabling scalable behavioral research
  • Generated behavioral insights on motor learning patterns, towards use in motor rehabilitation
  • Developed reproducible data pipelines and codebooks for cross-functional teams, enabling seamless knowledge transfer
  • Received $100K+ NIH T32 Fellowship funding and published 5+ papers, demonstrating research impact and validation
  • Mentored 3 junior researchers and received institute-wide research poster award
Doctoral Researcher
University of Southern California
2015 – 2021
  • Led human factors validation of motor control assessments with 50+ stroke patients, partnering with clinical and engineering teams
  • Contributed to clinical trial design and execution (NCT03634397), ensuring regulatory compliance and user safety
  • Developed open-source Computerized Line Bisection Test based on user feedback, improving spatial neglect assessment accessibility
  • Derived behavioral insights from motion capture data that informed rehabilitation technology design recommendations
  • Secured $75K+ NIH F31 Fellowship funding and published 7+ peer-reviewed papers
  • Mentored 8 researchers and received multiple awards including SfN Trainee Award and NSF Travel Award
Graduate Research Assistant
University of Illinois at Chicago
2012 – 2015
  • Built recruitment pipelines with community partners, developing user-centered approaches for engaging 40+ older adults
  • Established reliability and validity protocols for EMG and force-plate sensors, ensuring robust data quality for behavioral analysis
  • Generated behavioral insights on aging and motor control that informed evidence-based intervention recommendations
  • Published 5 papers (3 first-author) and presented findings at national conferences, validating research impact