个人介绍： A French data scientist and applied mathematics expert with a Master’s in Applied Mathematics from Université Sorbonne Paris Nord. With over 20 years of experience, he is Founder/CEO of Modwize, providing data science solutions across industries (finance, hospitality, healthcare). He has taught portfolio management, derivatives pricing, and Excel/VBA at Keio University, IONIS School, and Université Paris 1. His expertise spans quantitative modeling, machine learning, NLP, and time series analysis, with proficiency in Python, R, C++, and SQL. He led quantitative teams at BNP Paribas across Paris, Tokyo, and Hong Kong, managing $100B+ AUM funds. As an educator, he develops practical, industry-aligned curriculum, blending mathematical theory with real-world applications.

个人介绍： A researcher in computational biophysics, focusing on developing and advancing tools and methods for studying the microscopic dynamics of biomolecules and understanding the mechanisms driving their interactions. Also an experienced professor passionate about teaching sciences (physics, mathematics, biophysics, programming) to students and fellow researchers.

个人介绍： Highly accomplished training manager with experience directing and implementing comprehensive learning curricula, strategies, operations and development plans. Visionary leader providing inspiration, collaborative guidance and support to achieve business goals. Skilled in Learning Management Systems (LMS), Web-Conferencing Platforms, Office Productivity Applications, Enterprise HR Systems, project management, and is an influential communicator and proven leader.

个人介绍： Karina Kasztelnik, Ph.D., MBA, CPA, CTP, is a distinguished professor and researcher with 14 years of teaching experience starting from 2011. Specializing in accounting, data analytics, taxation, and IFRS/US GAAP, she has taught at institutions such as Colorado State University – Global Campus, Grand Canyon University, and DeVry University, where she developed courses, served as a subject matter expert, and supervised doctoral dissertations. Her expertise spans big data analytics, with proficiency in software and programming languages like R, Python, SAS, and Tableau. She has extensive industry experience, including roles at the U.S. Department of Treasury and CGI Federal, focusing on data science and tax policy. With numerous publications, books, and instructional software, she has received multiple awards for teaching excellence and technical contributions. Active in professional organizations, she bridges academic research and practical applications in accounting and data analytics.

个人介绍： Kovács Gábor is a chemistry professional with a Ph.D. in Chemistry from Babeș-Bolyai University. With 16 years of teaching experience starting from 2008, he has taught chemistry and physics at secondary schools and various chemistry-related courses (General Chemistry, Organic Chemistry, Biochemistry, etc.) at the university level (Sapientia Hungarian University of Transylvania). His research focuses on photocatalysis, nanocomposites, and environmental chemistry, leading multiple funded projects and publishing over 30 papers in journals like Applied Catalysis B: Environmental and ACS Sustainable Chemistry and Engineering. He holds an international patent and serves as a Guest Editor and Topic Editor for academic journals. Fluent in Hungarian (mother tongue), Romanian, and English, he also has experience in editorial work and cross-country research collaborations.

个人介绍： A data science and mathematics educator with a Master’s in Mathematics from San Francisco State University, specializing in math, statistics, and data science curriculum development. With over 12 years of experience, he has led content development teams at John Wiley & Sons and zyBooks, growing revenue from $1.2M to $5.2M. He taught statistics at West Valley College, developed digital courseware (Data Science Foundations, Machine Learning), and authored textbooks on linear algebra and applied statistics. Proficient in Python, R, SQL, and machine learning tools (Scikit-Learn, TensorFlow), he integrates Jupyter Notebooks and interactive tools into teaching. His expertise spans curriculum design, data pipeline development, and educational technology optimization.

个人介绍： A pharmaceutical scientist with a PhD in Pharmaceutical Sciences from the University of Toronto, specializing in G-quadruplex DNA stability and biophysical chemistry. With over 10 years of teaching, research, and industry experience, he has led teaching assistant teams for pharmaceutics courses, supervised 10+ undergraduate research projects, and developed laboratory manuals for pharmacology and food microbiology. His research, published in Biophysical Chemistry and Life, explores co-solvent and pressure effects on DNA stability. He gained industry experience at Sunovion Pharmaceuticals, supporting FDA/Health Canada new drug applications. Proficient in isothermal titration calorimetry, circular dichroism, and scientific writing, he integrates academic research with industrial practice in teaching.

个人介绍： Serge Grabtchak is a seasoned researcher and educator with 20 years of teaching experience starting from 2005. Specializing in physics, chemistry, nanotechnology, and biomedical optics, he has taught at institutions like Dalhousie University and Niagara College, developing courses in photonics, telecommunications, and physics. His research spans deep-tissue imaging, gold nanoparticles for diagnostics, nanophotonics, and optical device design, with over 30 publications in prestigious journals (e.g., Nature, J. Biomed. Opt.) and 2 US patents. He has supervised numerous undergraduate and graduate students, served as a peer reviewer for multiple journals, and received various scholarships and grants. Based in Canada, he is actively involved in consulting for biomedical startups, bridging academic research and industrial applications.

个人介绍： An experienced educator with 34 years of teaching experience starting from 1991, specializing in mathematics and science. Proficient in teaching a wide range of courses including Calculus, Algebra, IB courses, AP Calculus, Physics, and computer-related subjects. Has taught at institutions in the US and Canada, such as Tennessee State University, Fairleigh Dickinson University, and various educational centers. Known for effective teaching methods, especially in online settings, and has guided students to win a silver medal in the Canadian National Math Team. Skilled in curriculum development, student engagement, and building rapport with students. Holds multiple degrees in mathematics and mechanical engineering, providing a strong academic foundation for teaching.

个人介绍： Canadian chemist with a PhD from the University of New Brunswick and over 15 years of experience in academia and industry. Currently a sessional chemistry lecturer at Concordia University of Edmonton. Research background in hydrogen storage materials, with co-authored publications in high-impact journals (e.g., J. Am. Chem. Soc.). Bilingual in English and French.