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 global startups (Westudysmart) to market-leading platforms (EDUKA). He also has worked as a lead web developer at Western Union and co-founded the web development agency, Appmakers. Giedrius is a graduate of the University of Edinburgh where he finished with First Class Honours in Computer Science.
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.
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.
Data scientists who are actively involved in our learning process, either as Senior Team Leads (STL’s) or as Mentors.
Piotras works for Vinted as machine learning engineer. He has 20 years’ experience in R&D including modeling, data analysis and machine learning.
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.
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’.
Currently works as a Software Engineer at Maxex. Formerly Data Engineer at Barbora. Degree in Economics and Finance from University of Aberdeen.
Udeme is a data scientist at Nielsen. He also started a YouTube channel (Data Rantz) where he explains the basic concepts in Data Science.
Machine Learning Engineer working at Vinted. Spents most of his day working on Computer Vision and Natural Language Processing tasks.
Renaldas combines machine learning, computer graphics and game development in his (mostly research-based) role at Unity Technologies. He has worked on bringing Unity’s engine to mobiles, and developed AAA games at Electronic Arts.
Romanas’ vision is to build bridges between the Bay Area and the Baltics. He has over 10 years’ experience in Silicon Valley, including at Waymo (Google’s autonomous vehicles project), Getjar, Spigot and Nextury Ventures.
Kevin is a trainer and Python developer at Tribe of AI. He combines his extensive experience of data science and a background in software engineering with strong mentoring skills honed as a STEM teacher. He has also studies mathematics, liberal studies, and spiritual psychology.
Tomas is a data scientist at Vinted and holds a double MSc in Data Science. His background is in computer science so he still loves to contribute to open source, and he also co-founded a web development agency.
Paulius is a full-stack AI Engineer, and a leader in building data driven cultures and products. He is currently the Head of Data at The Room and ALX, and an Innovation Expert at MITA. From early startups to Fortune 500 companies, Paulius brings over 15 years of industry experience.
Mike is a preceptor at Harvard, and works as a Machine Learning Engineer at Centaur Labs. As a result, he has experience with data science in both academia and industry. He also boasts extensive teaching and mentorship experience, and enjoys helping learners achieve their academic and career goals.
Data Scientist at Tesla, Co-Founder of Low Heat Collective and ProgramEURs. He has an economics and business analytics background graduating from the Rotterdam School of Business (RSM). He'll help you understand the culture at Tesla and dive deeper into the required skill sets.
Digital publishing and monetization specialist working with the biggest publishers in the Baltic region at Google. A professional coach, specializing in career and motivation, passionate about women empowerment and technology.
Agnė is a Digital Transformation Consultant at Schuberg Philis, a self-steering organization where she serves as a Business IT translator to various multinational clients in The Netherlands. Prior to this, Agne worked in transformation programs at Philips and Maersk.