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Ileana Jarquin

@ileanajarquin

Clinical research data scientist specializing in biomechanics, machine learning, and human-subject research.

United States
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What I'm looking for

I seek research-focused roles bridging biomechanics and data science, with collaborative, interdisciplinary teams, opportunities to apply ML/computer vision to clinical data, and room for scholarly contribution and impact.

I am a clinical research specialist and data scientist with a strong foundation in biomechanics, public health, and human-subject research. I combine experimental design and statistical modeling with practical experience collecting and processing human movement data.

I have experience designing IRB-approved protocols, capturing kinematic data with 3D motion capture systems, and ensuring regulatory compliance while maintaining participant welfare in diverse settings. I apply Python, machine learning, and computer vision techniques to advance quantitative healthcare research.

My technical toolkit includes Python, SQL, MATLAB, SPSS, pandas, scikit-learn, TensorFlow/Keras, OpenCV, and MediaPipe; I build preprocessing pipelines, feature engineering, and supervised models to extract actionable insights. I have presented findings at national conferences and contributed to published collaborative research on fall risk and movement assessment.

I am passionate about translating complex human-movement datasets into evidence-based interventions and scalable models that improve clinical outcomes. I collaborate effectively across interdisciplinary teams and communicate results clearly to scientific and nontechnical stakeholders.

Experience

Work history, roles, and key accomplishments

University of Texas at El Paso logoUP

Adjunct Instructor

University of Texas at El Paso

Jan 2022 - May 2022 (4 months)

Taught core concepts in personal training and applied exercise science, developed evidence-based fitness programs, and led group sessions to apply physiological principles in practical settings.

University of Texas at El Paso logoUP

Graduate Research Assistant

University of Texas at El Paso

Jan 2020 - Aug 2021 (1 year 7 months)

Conducted IRB-approved human subject biomechanics research on fall risk and multitasking, captured kinematic data with a 3D Vicon system, and applied signal processing and statistical modeling to derive public health insights.

UP

Undergraduate Research Assistant

University of Texas at El Paso

Jan 2018 - May 2019 (1 year 4 months)

Assessed fall risk in older adults using structured movement evaluations and supported strength and conditioning research across recruitment, testing, and data reporting phases to ensure protocol adherence.

Education

Degrees, certifications, and relevant coursework

TR

TripleTen

Certificate, Data Science

2025 - 2025

Activities and societies: Developed models (KNN, decision trees, logistic regression), performed cross-validation and F1-score evaluation, and conducted end-to-end data workflows

Completed a data science bootcamp covering supervised learning, EDA, and model evaluation using scikit-learn and pandas.

University of Texas at El Paso logoUP

University of Texas at El Paso

Master of Science, Kinesiology (Biomechanics)

2019 - 2021

Grade: 3.90

Activities and societies: Thesis: The Effects of Dual-Tasking: Walking While Texting on Slip Recovery Mechanics; Graduate Research Assistant in Biomechanics & Motor Behavior Lab

Completed an M.S. in Kinesiology with a Biomechanics concentration, including a thesis on dual-task walking and slip recovery mechanics.

University of Texas at El Paso logoUP

University of Texas at El Paso

Bachelor of Science, Kinesiology (Exercise Science)

2015 - 2019

Grade: 3.52

Activities and societies: Undergraduate Research Assistant in Fitness Research Lab; conference presentations and symposium contributions

Earned a B.S. in Kinesiology with an Exercise Science emphasis and a minor in Biology, conducting undergraduate research on fall risk and functional movement.

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