Resume

Joe Vero

PhD Student in Psychology

Rutgers University

Motor Control & Human Movement Research

Contact

Email: joseph.vero@rutgers.edu

Website: vero.dev (this website)

Location: New Jersey, USA

Education

Ph.D. in Cognitive Science

September 2023 - Present

Rutgers University, New Jersey

Specialization: Motor Control and Human Movement

Relevant Coursework:

  • Computational Motor Control
  • Statistical Methods in Cognitive Science
  • Research Methods in Motor Behavior
  • Sensor Integration and Data Analysis

Current Research Projects:

  • Developing web-based experimental paradigms for motor control assessment
  • Analyzing unsupervised movement patterns in typical and atypical populations
  • Creating tools for real-time trajectory data analysis

Master's Degree

September 2023 - May 2025

Rutgers University, New Jersey

Thesis: Interpretable biomarkers for cognitive load utilizing drawing data from consumer-grade tablets

Thesis Work:

Designed and developed an interactive web-based experimental task to collect high-resolution drawing trajectory data. Implemented real-time data capture and analysis pipelines using JavaScript and Python.

Key Courses:

  • Advanced Data Analysis
  • Human-Computer Interaction
  • Motor Control Theory

Bachelor's Degree

September 2012 - May 2016

Rutgers University, New Jersey

Major: Biomedical Engineering, with Honors

Key Courses:

  • Biomedical Instrumentation
  • Biomechanics
  • Signal Processing
  • Biomedical Data Analysis

Research Experience

PhD Research

September 2023 - Present

Rutgers University, Department of Psychology

  • Investigate motor control and human movement using consumer-grade sensors
  • Study how humans control their movement in typical and atypical populations
  • Research how environmental factors influence motor control
  • Develop experimental paradigms for unsupervised motor control assessment

Key Projects:

  • Web-based motor assessment platform development
  • Real-time trajectory analysis algorithms
  • Data collection and analysis pipeline optimization

Technologies Used:

JavaScript, Python, React, Statistical Analysis, Sensor Integration, Data Visualization

Master's Thesis Research

September 2021 - May 2023

Rutgers University

  • Designed and implemented interactive Connect the Dots task
  • Collected and analyzed high-resolution trajectory data
  • Examined movement planning and execution strategies
  • Explored relationship between movement complexity and performance

Thesis Contributions:

  • Developed novel methodology for quantifying motor control using consumer-grade tablets
  • Created open-source web-based experimental framework
  • Analyzed trajectory data from 100+ participants

Publications:

Results from this work contributed to multiple published papers on motor control and movement analysis.

Technical Skills

Programming & Data

  • Python
  • Matlab
  • C++
  • R
  • Excel
  • Swift
  • iOS Development
  • Data Analysis
  • Statistical Modeling
  • Data Science

Research Methods

  • Sensor Integration
  • Experimental Design
  • Motor Control Assessment
  • Experimental Design
  • Data Collection
  • Signal Processing
  • Machine Learning
  • Deep Learning

Publications

Bermperidis, T., Vero, J., & Torres, E. B. (2025). On the importance of behavioral nuances: Amplifying non-obvious motor noise under true empirical considerations may lead to briefer assays and faster classification processes. arXiv preprint arXiv:2508.12742.

Torres, E. B., Vero, J., Drain, N., Rai, R., & Bermperidis, T. (2025). Hidden social and emotional competencies in autism spectrum disorders captured through the digital lens. Frontiers in Psychiatry, 16, 1559202.

Torres, E. B., Varkey, H., Vero, J., London, E., Phan, H., Kittler, P., Gordon, A., ... (2023). Sensing echoes: temporal misalignment in auditory brainstem responses as the earliest marker of neurodevelopmental derailment. PNAS Nexus, 2(2), pgac315.

Torres, E. B., Bermperidis, T., Varkey, H., Vero, J., London, E., Phan, H., Kittler, P., ... (2022). Sensing Echoes: Temporal misalignment as the Earliest Marker of Neurodevelopmental Derail. SSRN 4049202.

Ryu, J., Vero, J., Dobkin, R. D., & Torres, E. B. (2019). Dynamic digital biomarkers of motor and cognitive function in Parkinson's disease. Journal of Visualized Experiments, 149(10.3791), 59827.

Torres, E. B., Vero, J., & Rai, R. (2018). Statistical platform for individualized behavioral analyses using biophysical micro-movement spikes. Sensors, 18(4), 1025.

Caballero, C., Mistry, S., Vero, J., & Torres, E. B. (2018). Characterization of noise signatures of involuntary head motion in the autism brain imaging data exchange repository. Frontiers in Integrative Neuroscience, 12, 7.

Research Interests

  • Motor control and human movement
  • Consumer-grade sensor technology for movement analysis
  • Planning-execution loop in motor behavior
  • Typical and atypical movement patterns
  • Environmental influences on motor control
  • Human-computer interaction in motor assessment

Additional Information

  • Experience with web-based experimental paradigms
  • Proficient in trajectory data analysis and visualization
  • Strong background in statistical analysis
  • Experience with data capture using various research-grade and consumer-grade sensors
  • Multiple years of teaching and mentoring experience with undergraduate and graduate students