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I am a data-driven health tech enthusiast with a background in kinesiology and a master's in health data analytics and machine learning. I apply causal inference, time-series analysis, and ML to sports performance, healthcare outcomes, and product development, collaborating with designers and engineers to create data-informed solutions. Across roles at Adidas, lululemon, and university labs, I have built protocols, collected and analyzed sensor data (VICON, IMUs, iButtons), and translated insights into actionable product iterations. I'm passionate about bridging science and practical applications to improve performance and health outcomes.…I am a data-driven health tech enthusiast with a background in kinesiology and a master's in health data analytics and machine learning. I apply causal inference, time-series analysis, and ML to sports performance, healthcare outcomes, and product development, collaborating with designers and engineers to create data-informed solutions. Across roles at Adidas, lululemon, and university labs, I have built protocols, collected and analyzed sensor data (VICON, IMUs, iButtons), and translated insights into actionable product iterations. I'm passionate about bridging science and practical applications to improve performance and health outcomes.

Natascha Lam

Data Scientist, Product Designer, UI Designer, +2

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I am a data-driven health tech enthusiast with a background in kinesiology and a master's in health data analytics and machine learning. I apply causal inference, time-series analysis, and ML to sports performance, healthcare outcomes, and product development, collaborating with designers and engineers to create data-informed solutions. Across roles at Adidas, lululemon, and university labs, I have built protocols, collected and analyzed sensor data (VICON, IMUs, iButtons), and translated insights into actionable product iterations. I'm passionate about bridging science and practical applications to improve performance and health outcomes.…I am a data-driven health tech enthusiast with a background in kinesiology and a master's in health data analytics and machine learning. I apply causal inference, time-series analysis, and ML to sports performance, healthcare outcomes, and product development, collaborating with designers and engineers to create data-informed solutions. Across roles at Adidas, lululemon, and university labs, I have built protocols, collected and analyzed sensor data (VICON, IMUs, iButtons), and translated insights into actionable product iterations. I'm passionate about bridging science and practical applications to improve performance and health outcomes.

Available to hire

I am a data-driven health tech enthusiast with a background in kinesiology and a master’s in health data analytics and machine learning. I apply causal inference, time-series analysis, and ML to sports performance, healthcare outcomes, and product development, collaborating with designers and engineers to create data-informed solutions.

Across roles at Adidas, lululemon, and university labs, I have built protocols, collected and analyzed sensor data (VICON, IMUs, iButtons), and translated insights into actionable product iterations. I’m passionate about bridging science and practical applications to improve performance and health outcomes.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Athlete Performance Data Science Intern at adidas

September 1, 2025 - Present

Applied causal inference and prediction methods to football match data to inform product design and development; derived insights on performance and tactical differences in men’s and women’s matches; collaborated with cross-functional teams to translate analytics into product insights.

Junior Research Scientist at lululemon athletica

February 1, 2023 - June 1, 2024

Responsible for women’s performance apparel research within the go-to-market product development pipeline; implemented scientific protocols using VICON motion capture, IMU sensors, and iButtons to generate qualitative and quantitative insights on prototype performance; consulted designers, product developers and merchants with data-driven recommendations; led protocol development and new research methods to improve product validation, including signal processing improvements for time-series and image processing.

Product Innovation Intern at lululemon athletica

May 1, 2022 - September 1, 2022

Performed participant data collection to test the biomechanical and thermophysiological properties of performance apparel prototypes in the product pipeline; led analysis of qualitative and quantitative data to support iterative product development; interpreted and visualized data to provide recommendations to cross-functional teams.

Research Assistant at UBC Clinical Exercise Physiology Lab

September 1, 2021 - September 1, 2022

Assisted day-to-day operations and logistics of three clinical trials in cancer exercise research; applied study protocols in delivery of exercise intervention studies and assisting with data collection, data entry, database management and data analysis of intervention data using REDCap; updated research websites and created research summary visuals to improve outreach for clinicians and patients in the cancer exercise field.

Undergraduate Research Assistant at University Health Network

April 1, 2020 - January 1, 2022

Co-authored a systematic review of economic analyses of home-based telerehabilitation; contributed to research dissemination and collaboration with clinical teams.