Maria Vakhrusheva
Vaganova Method Specialist
Maria Vakhrusheva is a Russian-born ballerina, ballet teacher, choreographer, and mentor internationally recognized for her strong foundation in the Vaganova Method and her distinguished artistic career with the prestigious Mariinsky Ballet (Kirov).
She began her studies at the renowned Vaganova Ballet Academy in Saint Petersburg in 1983 and graduated in 1991. From 1991 to 1997, she performed as an artist with the Mariinsky Ballet, participating in international tours and performing major roles in classical repertoire productions including The Nutcracker, Giselle, La Bayadère, and Swan Lake.
Holding a Bachelor’s degree in Classical Ballet and Repertoire, Maria has worked internationally as a ballet teacher, rehearsal coach, and pedagogical mentor, including positions with the Israeli National Ballet, the Maria Olenewa State Dance School in Brazil, and the International Ballet School in Tokyo.
Recognized for her refined artistic eye and deep pedagogical knowledge, Maria combines the traditions of the Russian classical school with a thoughtful and individualized approach to ballet education. Her work extends beyond technical training, offering guidance in artistic development, methodology, musicality, stage interpretation, repertoire coaching, and professional teacher mentorship.
Her teaching expertise includes:
• Classical Ballet (all levels)
• Vaganova Methodology
• Pointe Technique
• Repertoire Coaching
• Pas de Deux
• Character Dance
• Ballet Pantomime
• Teacher Mentorship & Pedagogical Guidance
Marcia Delgado
Ballet and Classical Chinese Dance
Marcia Delgado is a Brazilian ballet teacher, choreographer, dance therapist, and artistic mentor with more than 30 years of experience in ballet education and performance.
She has worked internationally in Brazil, China, Japan, Panama, Taiwan, Argentina, and the United States, teaching students from early training to pre-professional and advanced levels.
Her background combines classical ballet, Vaganova-based methodology, repertoire coaching, pointe technique, choreography, dance therapy, somatic awareness, and psychology applied to performance.
Throughout her career, Marcia has worked as a ballet teacher, rehearsal coach, private competition coach, choreographer, and mentor for dancers preparing for festivals, auditions, stage performances, and professional training.
Recognized for her refined artistic eye and individualized guidance, Marcia integrates technical precision, musicality, emotional intelligence, and artistic expression, helping each student develop discipline, confidence, stage presence, and long-term artistic growth.
Her teaching expertise includes:
• Classical Ballet (all levels)
• Vaganova Methodology
• Pointe Technique
• Repertoire Coaching
• Competition & Festival Preparation
• Pas de Deux
• Character Dance
• Ballet Pantomime
• Teacher Mentorship & Pedagogical Guidance
Tan.
Yanan
Chinese Dance Specialist
Tan Yanan (谭娅楠) is a Chinese dance teacher, choreographer, and artistic mentor based in Changsha, China, specializing in Chinese Classical Dance, Folk & Ethnic Dance, Contemporary Dance, and choreographic development.
She is recognized for her highly detailed and expressive teaching approach, focusing on movement refinement, traditional Chinese dance aesthetics, artistic interpretation, and professional training development.
As a respected teacher with many students in Changsha, Tan Yanan has guided dancers through advanced Chinese Dance training, refinement programs, and instructor-level coaching within the Danse Wudao network.
Her work emphasizes technical precision, musicality, body coordination, expressive performance, and the preservation of traditional Chinese dance culture.
Her teaching expertise includes:
• Chinese Classical Dance
• Chinese Folk & Ethnic Dance
• Contemporary Dance
• Choreography & Creative Development
• Movement Refinement & Coordination
• Artistic Interpretation
• Fan Dance Techniques
• Traditional Chinese Dance Aesthetics
• Musicality & Expressive Performance
• Teacher Training & Movement Analysis