Our learning model is built on the partnerships we build with industry, and our partners co-operate closely in the creation of our curriculum content, working both in-house and from various companies.
Our graduates not only complete the course, but also find a job or get promoted on graduation. This drives us to ensure that all of the training we provide is 100% matched to market needs.
Here at Turing College we believe that IT education providers and the tech industry should work together to find innovative ways to adapt to the fast-growing demand for versatile data science and full-stack programming professionals.
That’s why the team behind our curriculum is composed of a nexus of IT experts from the worlds of education, R&D and business. Their combined experience and know-how lies at the heart of our innovative study program.
Our senior team leaders are industry professionals who are currently working but dedicate their time and effort to mentor Turing College learners when needed.
As supervisors, our STL’s are available for consultations, project reviews, and to provide feedback.
IT experts from the worlds of education, R&D and business.
As CTO, Giedrius led ed-tech projects ranging from globally operating startups (Westudysmart) to market-leading platforms (EDUKA). Worked as a team lead web developer at Western Union and co-founded a web development agency Appmakers. Graduated University of Edinburgh with First class computer science award.
Machine learning team lead at Vinted, where he leads a team working on various machine learning projects. Dovydas is President of the Artificial Intelligence Association of Lithuania and a founder of Tribe of AI, an artificial intelligence learning community.
Co-Founder of Three Thirds and AI researcher. Marie Skłodowska-Curie postdoctoral fellow at KU Leuven (Belgium) and MIT (USA). Published by top machine learning venues.
Life-long learner and PhD candidate at Vilnius University, as well as the best lecturer in Vilnius University in 2018. Former Head of Education at Turing School. Computer science lecturer at Vilnius, ISM universities.
Application engineer on computational performance at Intel. Worked on optimising ADCIRC (storm surge hydrology), XGC1 (particle-in-cell plasma fusion), and DEVITO (compiler for stencil DSL).
PhD candidate at the University of Edinburgh working at the intersection of computational linguistics and autonomous agents. Worked on deploying IT infrastructure at scale in CERN.
Data scientist at QuantumBlack and the author of Machine Learning for Finance. He has a background in financial economics with a degree from Oxford University.
Sam is a hybrid tech, education, and product expert. He helped build Makers, Europe’s first software bootcamp, as Head of Education and Head of Product. His background is in software engineering, teaching, and startups.
Founder of bebras.org (computational thinking competition in 60 countries), professor at Vilnius University. One of the most recognised educators of informatics in Europe!
Industry professionals who are currently working in leading IT companies.
Piotras works for Vinted as machine learning engineer. He has 20 years’ experience in R&D including modeling, data analysis and machine learning.
Lukas is a Machine Learning engineer at Vinted, developing and scaling recommender systems for millions of users. Before Vinted, Lukas developed autonomous robots for one of the most reputable Lithuanian A.I. companies Neurotechnology.
Deividas is a machine learning engineer at Vinted. Studied Masters in AI in Barcelona. A career changer - worked for over 7 years in the aerospace industry and graduated aerospace engineering at top of the class.
Machine learning engineer at Vinted and advisor at oxipit.ai. Kaggle competitions grandmaster.
Lukas is a Data Scientist at Burberry with a degree in Maths and Physics from University of Warwick.
Adomas is a data scientist at WePower and has a masters degree in applied mathematics from Kaunas University of Technology.
Machine learning engineer at Geomatrix. Member of the winner team using Deep learning techniques in ‘Inovacijos dirbtuvės Spring 2020’.
Data Engineer at Gjensidige Baltics with a degree in Economics and Finance from University of Aberdeen.
Lukas created his first coding bootcamp at 16 years old. At 22, he became a lecturer in software engineering at ISM international university. Lukas has been the CEO of Turing School since 2017. He has continued working with the Harvard CS50 team and several top-tier academics on various EdTech projects up to this day.
Benas started out working with Invest Lithuania, a leading global Lithuanian diaspora tech network. After starting the Turing Society, he built a network ranging from education and business advisors to politicians. Today he leads the legal, community and business development of Turing.
Tomas started his first company at only 17. At 20, he joined Dashmote at its founding as a core team member and quickly grew to become CTO. He is a self-taught engineer with a background in business who studied engineering at the prestigious tech university 42 in Paris, France. In Turing, Tomas leads operations and product development.
We are planning for another full-time course in early 2021.
Part-time course will start at December 1st, 2020, applications are available until November 11th, 2020. You can also join full-time waiting list.