Katarina Mayer

Katarina Mayer, PhD, MBA, is an experienced data scientist with a strong background in Applied Statistics and Finance & Banking.

She is a knowledgeable practitioner in Statistics, Machine Learning, Spatial Modeling, and Data Mining, with expertise in designing tailored models across various domains.

Katarina holds a PhD in Management Engineering (Applied Statistics) from the Korea Advanced Institute of Science and Technology and an MBA in Finance and Banking from KDI School of Public Policy and Management.

She is an accomplished model-building expert and a qualified AWS certified Big Data Analyst. Additionally, Katarina is a podcast speaker on data science topics.

Her extensive education includes studies in Agent-based Modeling, Complex Systems, Machine Learning, and Geographic Data Mining from institutions like Argonne National Laboratory, Santa Fe Institute, and The Julius Maximilians University of Würzburg.

Katarina has also completed various Nanodegree programs in fields like Machine Learning, Deep Learning, Artificial Intelligence, and Natural Language Processing from Udacity.

In terms of language proficiency, she has completed a Level 5 Korean Language Course at Yonsei University.

Professionally, Katarina is the Principal AI Researcher at ESET and has previously held positions as a Machine Learning Scientist at ESET, a Data Scientist & AI Researcher independently, and as an Assistant Professor and Lecturer of Statistics at Hankuk University of Foreign Studies.

She has also been a Science Board Member at the Slovak Research Center for Artificial Intelligence (Slovak.AI).