Privacy policy

Thank you for visiting our website. Protecting your privacy is important to us, and we want to inform you about how we collect and use your personal data.

The privacy principles followed on this website are:

  • We do not collect more information than necessary.
  • We do not use data for purposes other than those specified.
  • We do not retain data if it is no longer needed.
  • We never sell, loan, or publicly disclose your personal data.
  • We do not share your data with third parties.
  • We do not transfer your personal data to third countries or international organizations.

 

What personal data we collect and why

Contact Forms

If you fill out the contact form on the website, we will store the data you entered. This data is used solely to respond to your inquiry, and any change in its usage will be communicated to you. Otherwise, it will not be used for other purposes.

 

Embedded content from other websites

Articles on this website may include embedded content (e.g., videos, images, articles, etc.). Embedded content from other websites behaves as if the visitor has visited the respective external site.

These websites may collect data about you, use cookies, embed additional third-party tracking, and monitor your interaction with the embedded content, including tracking your interaction if you have an account and are logged in to that website.

 

Google analytics

Data collection

Our website uses Google Analytics to gather certain information about your visit. This includes details about your browser, operating system, location (city/country), visit duration, pages viewed, and other similar data. These data are collected through cookies and similar technologies. Importantly, we do not have access to information about individual users but only receive numerical data on website usage.

 

Data usage

The data collected through Google Analytics is used solely for analyzing website traffic, understanding user behavior, and improving content and services. This helps us better understand your interests and preferences to provide a more relevant experience while using the site.

 

Google Analytics disclaimer

Please note that we do not control the data collection process by Google Analytics; this is managed by Google. For more information, read Google’s Privacy Policy to understand how they handle your data: Google Privacy Policy.

 

Data storage

Data collected through Google Analytics is generally stored on Google servers, which may be located in various countries worldwide. Google handles your data according to its own privacy policies.

 

Your consent

By using our website, you consent to the collection and processing of data through Google Analytics under this Privacy Policy. If you do not want your data to be collected via Google Analytics, you can disable cookies in your browser settings or use script-blocking tools.

 

Data security

Your privacy is important to us, and we take reasonable measures to protect your personal data from unauthorized access, disclosure, loss, or destruction.

 

Changes to the Privacy Policy

This Privacy Policy may occasionally change to comply with legal and regulatory requirements or to reflect updates in how we use your personal data. Any changes will be posted on this page, so we encourage you to review the Privacy Policy regularly.

 

Contact

If you have any questions or concerns regarding our Privacy Policy or how we handle your data, feel free to contact us at bioinfo@bioinfo.hr.

Last updated: April 2025

 

Cookies

This website and its online services may use cookies to improve functionality. The decision to allow cookies on this site is entirely yours. However, note that the website functions optimally only when cookies are enabled.

What Are Cookies?

Cookies are small files that your browser saves on your device when you visit my website. These allow the site to recognize your computer during future visits and provide a more personalized experience.

Cookies do not monitor every action you take and are not malicious code or viruses. They are not linked to unwanted messages or spam, cannot store passwords, and are not exclusively intended for advertising. Personal information, such as your name or email address, is not stored by cookies.

 

Types of Cookies

Session Cookies and Persistent Cookies

  • Session Cookies: Temporary cookies that expire after you leave the website. They are essential for certain features or functionalities.
  • Persistent Cookies: These enhance user experience by remembering your login details or preferences, so you don’t have to enter them each time you visit. Their duration depends on your browser settings.

First-Party and Third-Party Cookies

  • First-Party Cookies: Issued by this website and often serve to ensure proper functionality.
  • Third-Party Cookies: Set by external services (e.g., YouTube). I do not control these cookies, so refer to their respective privacy policies.

Cookie Categories

  1. Essential Cookies: Required for the website’s operation. Examples include PHPSESSID cookies.
  2. Performance Cookies: Collect anonymous information on user behavior to improve website functionality.
  3. Functional Cookies: Remember user preferences (e.g., language settings).

This website does not use marketing cookies.

 

Managing Cookies

You can block some or all cookies on this website, but this may affect functionality. You can also accept or decline cookies by adjusting your browser settings. Detailed information on cookies and browser settings can be found at www.allaboutcookies.org.

kristian_vlahovicek

Kristian Vlahoviček

Group leader and Full Professor of Bioinformatics at the Faculty of Science, University of Zagreb

While studying molecular biology at the University of Zagreb he developed a strong interest in applying computational methods and approaches to biosciences. For his master thesis he worked on a problem in X-ray crystallography and developed a program for absorption correction of scattered X-ray data. He obtained his PhD in Bioinformatics/Biochemistry, still pursuing his structural biology interests, working on a computational prediction of structural and physicochemical properties of DNA. He spent 10 years as a research fellow at the International Center for Genetic Engineering and Biotechnology in Trieste, Italy, where he also worked on computational prediction and classification of protein domains using machine learning approaches.

In 2002 he established a computational biology group at the Zagreb University, where he moved permanently in 2006 with the EMBO Young Investigators Programme installation grant, and directed the scientific interests towards the newly emerging field of genomics. His bioinformatics group develops computational tools and uses machine learning techniques to tackle open questions in developmental genomics and metagenomics.

In 2011 he became full professor at the Faculty of Science at Zagreb University. He had several international appointments, including a 4-year adjunct professorship at the University of Oslo, Norway and a two-year adjunct professorship at the University of Skövde, Sweden. From 2008 to 2012 he served as the head of the Division of Biology, Faculty of Science at University of Zagreb and was responsible for managing a division of ~150 staff.

He is involved in teaching four graduate-level courses: Bioinformatics, Algorithms and programming, Statistics and machine learning and Computational genomics. During his time as a group leader more than 30 doctoral and master students graduated under his supervision. Some of his graduates continued with PhD and postdoctoral training at prestigious universities around the world, including LMB Cambridge, UK; EMBL, Heidelberg, Germany; RIKEN, Japan and ETH, Zurich, Switzerland.

His scientific track-record includes more than 60 publications in high-level journals and talks in many renowned institutions throughout the world. His research topics are: developmental and differentiation genomics, metagenomics, population genomics and glycomics, origins of multicellularity, epigenomics of cancer, development of computational methods and application of machine learning in genomics and molecular biology.

He is the reviewer in a number of scientific journals, as well as national and international funding bodies and programmes, such as ESF Programme, EC FP7, H2020, and Horizon Europe Programmes, Estonian National Funding Agency, Hungarian National Funding Agency, Flanders Research Foundation, The Netherlands ZonMw Vidi Programme, Croatian National Funding Agencies. He reviewed program applications for Croatian pre-accession and accession structural funds.

Prof. Vlahoviček is a Fellow of the Academia Europaea, and a member of several professional societies, at the national and international level. Professor Vlahoviček is a strong proponent of science reforms in Croatia and evidence-based policy making. He served in the steering committee of Croatia’s highly successful science funding body, the Unity through Knowledge Fund (UKF) and has participated in several strategy-drafting panels at the university and national level. He also served as the Member of the Steering Committee of the Ruđer Bošković Institute, a leading Croatian research entity in natural sciences, with ~900 staff.