President of the STEMM Global Scientific Society

Yang Hui He

London Institute
Royal Institution / City
University of London / Merton
University of Oxford

Fellow of the London Institute, Professor of Mathematics at City, University of London, Tutor in Mathematics at Merton College, Oxford, and Chang-Jiang Chair of Physics at Nankai University in China.
He obtained his BA at Princeton (summa cum laude, Shenstone Prize and Kusaka Prize), MA at Cambridge (Distinction, Tripos), and PhD at MIT. After a postdoc at the University of Pennsylvania, he joined Oxford as the FitzJames Fellow and an STFC Advanced Fellow. He works at the interface of string theory, algebraic and combinatorial geometry, and machine learning.
Recently, he helped introduce machine-learning into the field of pure mathematics by using AI to help uncover new patterns and raise new conjectures (cf. interview by Science [Vol 365, July, 2019] and by New Scientist [Dec 9 Issue, 2019]).

Outside of research, Yang plays the violin (Princeton orchestra; founding member of the Saville Consort) and is a tenor who sang for the chapel choirs of St. Catherine’s, Cambridge and Merton, Oxford.

Anna Baldycheva

University of Exeter

Head of the STEMM Labs Research Hub , and a co-founder of STEMM Global Scientific Society. She has a wealth of more than 15 years of experience conducting top-class R&D in emerging technologies and providing tech consulting while working at world-recognized research institutions like MIT, Trinity College Dublin, and the University of Exeter.

Prof Anna Baldycheva is also a co-founder of a number of successful start-ups in different technological and business sectors. She has over 100 scientific publications, plenary and invited talks to date. She is a Fellow of the Royal Higher Education Academy and a Fellow of Royal Microscopical Society. Prof Baldycheva is an editor of the Nature Scientific Reports and Nanoscale Research Letters journals and is an executive chair of the Royal Microscopical Society Engineering Section. She is also an expert in Emerging Technologies in the European Commission.

Kate Berseneva

Sorbonne Université

Сo-founder of STEMM Global Scientific Society, Dr Berseneva is a researcher at the Sorbonne University. Kate is exploring the intersection of the Artificial intelligence, fine arts and new digital art. Till late 2021 she leaded the AI and ML research at STEMM Research Hub. The STEMM AI Lab’s research interests extend from the development of high-accuracy computational calculations and the integration of machine learning and AI into the real-word ecosystems of fintech, healthcare, art and communications.

Since 2003, Kate has been conducting research in fundamental theoretical physics and machine-learning algorithms and providing tech consulting at the top-ranked research institutions the National Institute of Standards and Technology, the Max Planck Society, and St. Petersburg State University, as well as within Russia’s oil and gas industry. She is also a co-founder of a number of successful start-ups in different technological and business sectors.

Igor Meglinski

Aston University

MSc, PhD, is a Professor at the School of Engineering & Applied Science and at the School of Life & Health Sciences in Aston University, Birmingham (UK), and at the Faculty of Information Technology and Electrical Engineering of the University of Oulu (Finland). Professor Meglinski’s research interests lie at the interface between physics, medicine and biological sciences, focusing on the development of new non-invasive imaging/diagnostic techniques and their application in medicine & biology, material sciences, pharmacy, food, environmental monitoring, and health care industries. He is Chartered Physicist (CPhys), Chartered Engineer (CEng), Fellow of Institute of Physics, and Fellow of SPIE. Prof. Meglinski is author and co-author over 350 papers published in peer-reviewed scientific journals, proceedings of international conferences, and book chapters, and over 720 presentations at the major international conferences, including about 300 invited lectures, keynote and plenary talks.