Texas State Clinic

• Identify whether a change in an athlete-monitoring metric exceeds expected day-to-day variability
• Interpret changes in monitoring data using individual baselines, training context, and multiple sources of athlete information
• Apply athlete-monitoring results to practical decisions regarding training, retesting, and continued observation

• Learn snatch technique
• Learn snatch variations
• Learn how to program the snatch safely and progressively

• Gain insight into longitudinal data tracking methods
• Identify strategies for key performance indicators in tactical populations
• Develop skills in data analysis and interpretation

• Differentiate evidence-informed practices from common misconceptions in female training and nutrition in order to deliver individualized guidance based on a woman's training status, goals, and life stage rather than sex-based assumptions
• Apply established training and nutrition principles, progressive overload, adequate protein, and autoregulation, when programming for women across the menstrual cycle, hormonal contraceptive use, and the menopause transition
• Identify the specific contexts in which female physiology genuinely alters practice, such as low energy availability/REDs risk and life-stage micronutrient needs (iron, calcium, vitamin D)

• Understand the differences in modalities of aerobic exercise
• Ascertain the advantages and disadvantages of different modalities of aerobic exercise
• Prioritize the optimal modality or method to improve aerobic capacity for the tactical athlete

• Define athlete engineering and provide the background of how this was developed
• Discuss how athlete engineering brings together an array of disciplines who can work hand-in-hand with each other to better understand human performance and how this can be utilized to improve research collaborations and practical applications
• Demonstrate how the research athlete engineering has and will continue to pursue can improve our understanding of the best methods of improving performance and minimizing injury risk for athletes, tactical populations, industry workers, and at-risk individuals

This presentation will explore practical strategies for progressing athletes from foundational movement skills to game-speed performance, with an emphasis on change of direction (COD), agility, and return-to-play. Attendees will learn how to systematically progress training demands to better reflect the speed, complexity, and decision-making requirements of sport. Practical applications will be provided to help coaches bridge the gap between rehabilitation, performance training, and confident return to competition.

• Describe historical development of periodization theory and various approaches
• Explain limitations of sport-based periodization methods as it applies to tactical environment
• Recognize unique environmental and physiological demands of tactical athletes
• Discuss potential periodization strategies that could be applied to tactical training environments

• Apply cutting-edge trimester-specific programming, including evidence-based implementation of HIIT and heavy-load resistance training throughout pregnancy for competitive and recreational athletes
• Implement three-phase postpartum return-to-play progressions with concrete readiness markers, exercise modification guidelines, and progression decision frameworks
• Identify critical red flags requiring medical referral during both perinatal and postpartum periods, including signs of complications, pelvic floor dysfunction, and contraindications to training progression

• Understand the history of program design and periodization
• Gain a better understanding of fundamental movement patterns
• Obtain a better understanding of progressions and regressions
• Discuss advanced training methods

• Explain how AI and machine learning are changing the measurement and interpretation of human performance in strength and conditioning and sport science
• Evaluate the assumptions and potential sources of error between human movement, its digital representation, and AI-generated performance information
• Aply practical strategies for evaluating whether emerging technologies and AI-derived metrics are valid, interpretable, and useful for coaching and performance decisions