Turing College

A full member of Woolf, a Higher Education Institution in Europe.

Accreditation:

Degrees

Master of Science in Data Science

Master of Science in Data Science

Dean

Tadas Jucikas

I believe that the creation of beneficial Artificial Intelligence will be the most important technological development in human history, with the potential to shape the trajectory of humanity.



At Genus AI we are working on enabling consumer brands to double the efficiency of their customer acquisition via paid social channels using novel ML technologies that allow predictive content generation, campaign modelling and customer archetyping.



I have completed my PhD in Computational Neuroscience at the University of Cambridge where I studied genetic and molecular mechanisms of behavior. I have completed my MPhil in Computational Biology at the Department of Applied Mathematics and Theoretical Physics at the University of Cambridge where I studied machine learning, statistics and biological system modelling.



For the past eight years, I have built and managed data science teams in both the private and public sectors and pioneered applications of machine learning algorithms and AI in real world scenarios.



► Contact:

Feel free to message me or follow me on twitter: @TadasJucikas

Academic board members

Tadas Jucikas

I believe that the creation of beneficial Artificial Intelligence will be the most important technological development in human history, with the potential to shape the trajectory of humanity.



At Genus AI we are working on enabling consumer brands to double the efficiency of their customer acquisition via paid social channels using novel ML technologies that allow predictive content generation, campaign modelling and customer archetyping.



I have completed my PhD in Computational Neuroscience at the University of Cambridge where I studied genetic and molecular mechanisms of behavior. I have completed my MPhil in Computational Biology at the Department of Applied Mathematics and Theoretical Physics at the University of Cambridge where I studied machine learning, statistics and biological system modelling.



For the past eight years, I have built and managed data science teams in both the private and public sectors and pioneered applications of machine learning algorithms and AI in real world scenarios.



► Contact:

Feel free to message me or follow me on twitter: @TadasJucikas

Algimantas Cerniauskas

PhD | Senior Data Scientist and People Manager @IBM | Academic Board Member @Turing College.

As an academic board member, I support their C-level team on the mission of creating the biggest online AI college in the world!

Faculty, Instructors and Professional Experts

Tadas Jucikas

I believe that the creation of beneficial Artificial Intelligence will be the most important technological development in human history, with the potential to shape the trajectory of humanity.



At Genus AI we are working on enabling consumer brands to double the efficiency of their customer acquisition via paid social channels using novel ML technologies that allow predictive content generation, campaign modelling and customer archetyping.



I have completed my PhD in Computational Neuroscience at the University of Cambridge where I studied genetic and molecular mechanisms of behavior. I have completed my MPhil in Computational Biology at the Department of Applied Mathematics and Theoretical Physics at the University of Cambridge where I studied machine learning, statistics and biological system modelling.



For the past eight years, I have built and managed data science teams in both the private and public sectors and pioneered applications of machine learning algorithms and AI in real world scenarios.



► Contact:

Feel free to message me or follow me on twitter: @TadasJucikas

Gytis Trikleris

I am an experienced open source software engineer currently working at Red Hat in Spring Boot and RHOAR teams adapting Red Hat technologies for Spring Boot users and improving their experience on OpenShift and Kubernetes.

Tomas Moška

Tech guy by passion, Business Economist by education.

Combining both fields to achieve what's impossible by knowing only one.

Lukas Kaminskis

Learned coding in a self-organized coding bootcamp at the age of 16.

Started a physical coding school for talented kids at the age of 18.

Made a partnership with Harvard University at the age of 19.

Founded Turing College, an online AI-driven college, at the age of 22.

Algimantas Cerniauskas

PhD | Senior Data Scientist and People Manager @IBM | Academic Board Member @Turing College.

As an academic board member, I support their C-level team on the mission of creating the biggest online AI college in the world!

Giedrius Žebrauskas

I have dedicated my career to creating new and improved ways of digital learning that have a global impact.



These include EDUKA Dienynas and EDUKA Klasė - the leading LMS platform in Lithuania. When I joined as Head of Technology, EDUKA Klasė was only being used by a handful of schools. I oversaw its rapid adoption and helped it navigate a huge increase in users (up tp 20x growth in one month) during the COVID-19 lockdown. I have also worked in a London-based startup with top UK teachers, leading the development of an online platform used across the UK and in Latin America.



My strong background in tech helps me turn edtech ideas into reality. I graduated with First Class Honours in Computer Science from the University of Edinburgh, worked as a front-end lead at Western Union (leading a team spread across San Francisco, Vilnius and Noida), and co-founded a web development agency Appmakers.



In my current role as Head of Education at Turing College, the first Lithuanian startup to be accepted to Y Combinator, I am responsible for creating and evolving Turing College's unique educational methodology. I bring my experience of having managed and led various IT companies, as well as my deep understanding of education to this role in order to help ensure that our learners gain the skills they need to be successful data science employees.