Chief Executive Officier

Stipe holds a PhD in chemistry from the University of Zagreb, and he began his research career at the Rudjer Boskovic Institute in Zagreb.

He spent nearly a decade specializing in solid state chemistry and data analysis methods, publishing over 30 papers and receiving the Croatian State Award for Science for young scientist in 2020.

As a two-time startup founder, Stipe brings a strong blend of scientific depth and entrepreneurial experience to lead the company’s strategic direction.

Tomislav holds a PhD in solid state physics from the University of Zagreb, after which he spent almost three years as a postdoc at 1. Physikalisches Institut in Stuttgart working on spectroscopic techniques in extreme conditions. He is currently the Head of the Group for experimental research of advanced electronic materials at the Institute of Physics.

Working for over 18 years in experimental physics of solids and over five years on deep learning and AI, he has published over 40 scientific papers in relevant scientific journals.

In KalphaTech, Tomislav is bringing his expertise in technological problem-solving to ensure the smooth implementation of scientific and technical functionalities.

Chief Development Officer

Edi holds a PhD in chemistry from the University of Zagreb, where he currently serves as a senior research assistant. He spent over three years in the pharmaceutical industry before joining the Faculty of Science’s Chemistry Department in 2018.

With over a decade of experience, Edi has specialized in solid-state chemistry characterization, covering structural, spectroscopic, and thermal analysis. He has also developed new analytical methods involving instrumentation, metrology, data analysis, and programming.

Now, Edi is applying his expertise to lead development at KalphaTech, driving innovation in materials processing and analytical technologies.

Chief AI Officer

Domagoj holds a PhD in mathematics from the University of Zagreb and is currently an Associate professor at the Faculty of Electrical Engineering andComputing in Zagreb.

His expertise involves subjects from numerical and theoretical mathematics, and since 2018, he has been working extensively on applying deep learning for real-world applications in chemistry, as well as in mathematics for extreme value theory, bilevel optimization, and number theory.

Domagoj’s deep domain expertise makes him an ideal leader of KalphaTech’s development of state-of-the-art AI models and algorithms for materials analysis.