Anil Gore Ph.D. has 30+ years of teaching experience at universities including Arizona, Penn State, Calgary & Wyoming universities; he is a specialist in 'Statistical Analysis of Non-normal Data and Mathematical and Statistical Ecology. A former Associate Editor in Biometrics and Ecological Statistics, he consults in bio and social sciences.

Suresh Ankolekar Ph.D. has 25+ years in Academia. He developed and delivered a specialized MBA in IT Management for Maastricht School of Management (MsM), The Netherlands. He now leads an eLearning project for Technical and Vocational Education and Entrepreneur Training in Zambia. 

Prof. Madhav Kulkarni has 30+ years of teaching experience, and he is currently with University of Pune, India. He has coauthored Common Statistical Tests, An Introduction to Statistical Ecology, Introduction to Discrete Probability and Probability Distributions and 100 Data sets for Statistics Education.

Ranganath Rattihalli Ph.D. has 30 years of teaching experience and currently teaches Statistics at Shivaji University, Kolhapur, India. Dr. Ranganath has contributed in several research projects and has written several papers jointly with others.

Shailaja Deshmukh Ph.D. is Associate Professor in Statistics, University of Pune, India. She authored "Statistical Methods in Micro-array Data Analysis" and "An Introduction to Actuarial Statistics" is in process.

Sudha Purohit Ph.D. is co-author of two books: Life-Time Data: Statistical Models and Methods & Introduction to Biometry. She was Head of the Department of Statistics at A. G. College and teaches Statistics at the University of Pune, India.

Sharayu Paranjpe Ph.D. teaches Statistics at the University of Pune, India. She is a coauthor of "A Course in Statistical Ecology" and "Statistical Inference in Saturating Hyperbolic Models" and has also written or co-written dozens of articles in peer-reviewed journals.

T. V. Ramanathan Ph.D. has 14+ years in Teaching and Research projects in India and Botswana. He authored several research papers on Statistical Inference, Time Series, Quality/Reliability Studies & GLM.