Sergey Samsonau, PhD
Dr. Sergey Samsonau brings together physics, AI, data science, and research pedagogy - a rare combination shaped by two decades across academia, industry, and scientific research. At SoTS, he directs four research labs and leads development of the AI Research Mentor platform.
His students - high school and university - have gone on to study and work at Princeton, MIT, Harvard, UChicago, Johns Hopkins, Berkeley, Google, Amazon, and more.
Research Methodology
Dr. Samsonau's scientific training and experience spans multiple methodologies: theoretical physics, computer simulations, experimental laboratory work, data science, and AI - giving him a rare ability to guide students through whichever approach fits their research questions, or a combination of such.
Experience
Research Education
- Trained 100+ students in research methodology at NYU
- Built and directed research labs program at PRISMS (one of the top high schools in the country)
- Developer of original research education methodologies - published framework now cited by researchers at multiple institutions
- Conceptualized and organized AI Meets Science conference - first of its kind for NYC area, with presenters from NASA, NIST, NYU, Cornell, Columbia, Princeton, Arizona State, Simons Foundation, and more
AI & Industry R&D
- CEO and Co-Founder of Authentic Research Partners - the company operating Society of Teen Scientists
- Architected and implemented NYU's private GenAI ecosystem - one of the first university implementations nationally. Shared implementation with U.S. university community at Notre Dame AI Forum alongside Harvard and Arizona State
- His solutions power dozens of courses for thousands of students who rely on data science methods across various fields
- Led 20+ R&D projects across scientific domains
- Finance industry R&D (Credit Suisse, Tethys Technology, Nilitis) - solutions recognized for innovation
- Radiology AI (CIVIE) - developed AI adoption strategy, established AI team
Scientific Research
Published in peer-reviewed journals across research education, materials science, and medical research. PhD research focused on nanotechnology (carbon nanofilms, graphene-like materials).
Teaching Experience
In over 15 years of teaching, has designed curricula including physics theory and laboratory, and taught hundreds of high school and college students across various subjects and all levels: middle school, high school, undergraduate and graduate students, professional education for Fortune 500, Big Four firms, and Columbia University researchers.
Positions include Adjunct Professor at NYU Tandon School of Engineering and CUNY, and faculty at PRISMS, where he established and grew research labs, pioneered one of the first high school data science courses in the country, and adapted college-level quantum mechanics for high school students.