Meet our team of educators
Our programs are co-created with tech companies or tech leads who regularly hire engineers.
STL’s and Mentors
Senior Team Lead is a senior industry professional who guide Turing College learners. STL is similar to a tech lead who mentors junior professionals at a tech company, as they provide consultations, 1on1 project reviews, and feedback.
Your mentor from companies like Google, Amazon, etc., will guide you by answering questions and providing career advice. One-off mentorship meetings are organized with these specialists every couple of months for students who are interested in it.
“Feedback from senior team leads who are experts in data science field really enhance overall experience.”
Kristina Grigaitytė
Data analyst at Nord Security
Mike Jin
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.
Dalia Jankevičiūtė
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.
Renaldas Zioma
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.
Deividas Skiparis
Deividas is a machine learning engineer at Vinted with a Master’s degree in AI. A real career changer – worked for over 7 years in the aerospace industry and graduated from his aerospace engineering studies at the top of his class.
Udeme Udofia
Udeme is a data scientist at Nielsen. He also started a YouTube channel (Data Rantz) where he explains the basic concepts in Data Science.
Romanas Zontovičius
Romanas’ vision is to build bridges between the Bay Area and the Baltics. He has over 10 years of experience in the Silicon Valley, including at Waymo (Google's autonomous vehicle project), Getjar, Spigot, and Nextury Ventures.
Tomas Šostak
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.
Agnė Nainytė
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.
Piotras Cimmperman
Piotras works for Vinted as machine learning engineer. He has 20 years’ experience in R&D including modeling, data analysis and machine learning.
Maynk Yadav
Technical Program Manager at Google focusing on managing large scale cross-functional projects. Prior to Google, Maynk has worked across different industries such as Pharmaceuticals, Fast-Moving Consumer Goods, Consumer Healthcare and Biopharmaceuticals. He has a background in engineering and business management.
Raminta Urbonavičiūtė
Machine learning engineer at Geomatrix. Member of a team that won the main prize at the Innovation Workshop, Spring 2020 by deploying deep learning techniques.
Kevin Nourian
Kevin is a Python developer and trainer. He holds degrees in software engineering, liberal arts, mathematics and spiritual psychology. He combines his technical knowledge with strong mentoring skills honed as a STEM teacher to help learners realize their dreams of becoming data scientists.
Povilas Gudžius
Working with NYC Hedge Funds and Silicon Valley tech firms. 12 years in FinTech and 5th year as PhD researcher at VU DMSTI, Cognitive Computing Group. His recent work on Deep Learning-based object recognition in Satellite Imagery (link) was nominated as one of the top papers in 2021 by the LT AI Association.
Dominykas Šeputis
Machine Learning Engineer working at Vinted. Spends most of his day working on Computer Vision and Natural Language Processing tasks.
Adomas Lingevičius
Adomas is a data scientist at WePower and has a masters degree in applied mathematics from Kaunas University of Technology.
Peter Klemens Grafe
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.
Ajibola Ladoja
Ajibola is a data analytics professional that has worked in several industries such as telecommunication, retail and financial services and is currently working with Western Union (Pricing and Customer Analytics team). She holds an MBA in business analytics and loves to find simple but creative solutions using data to aid business decisions.
Indrė Jankovskytė
Indrė is a Data Science Team Lead at Beyond Analysis. Previously, for more than 4 years worked as Data Scientist at Danske Bank. Holds degrees in Mathematics and Informatics.
Evaldas Kazlauskis
Senior Data Scientist at gaming e-commerce startup Eneba. During his professional carrier worked in game development, robotics and cyber security fields. Received Master's degree in AI from KU Leuven.
Edvin Saveljev
Data Scientist at Eneba. Started as an intern and got an offer in a month as the first Data Analyst in the company. Has a MSc in Applied Mathematics from the Kaunas University of Technology. Prior to becoming a Data Analyst, ventured into management and engineering roles.
Algimantas Černiauskas
In 2018 I finished my PhD in Astrophysics and since then I’m working as a Data Scientist and Consultant at IBM Lithuania Client Innovation Center. My focus areas are Natural Language Processing and Understanding. I have scientific publication and a US patent in the Machine Learning field.
Manvydas Sokolovas
Manvydas is a Data Analyst at Coingate. Prior to this, he worked as a Quantitative Analyst in the banking industry. He holds a degree in Econometrics from Vilnius University.
Nadia Kadakova
Data Scientist at Odysseus. Nadia's biggest passion is to utilize Data Science approaches to drive the process of discovery and innovation in Medicine. Having studied Bioinformatics at the University of Southern California, she currently works, in collaboration with colleagues, on an open-source genomic analysis tool.
Kristina Grigaitytė
Started my journey as a researcher in Vilnius University Life Sciences Center. After becoming a Turing College graduate continued working as a Data Analyst at KiloHealth (finance/marketing analytics). Now working as a Quality of Service Data Analyst at Nord Security (NordVPN).
Gabrielė Stravinskaitė
A well-rounded data person. After obtaining an MSc in Statistics from Warwick, she made her way to Data Engineering. At the moment Gabrielė is working on machine learning applications at Spotify.
Lukas Naruševičius
As the CTO at Kartel Games, he leads the development of unique gaming experiences on Discord. He has had the opportunity to collaborate with teams in the design, development, and implementation of technology solutions while working at Turing, Velocity Black, and Amazon.
Dovilė Komolovaitė
Dovile is a Data Scientist at Beyond Analysis. Began her career at Centric IT Solutions, where she gained extensive experience working with video, signal, geospatial, and structured data types. Academic background includes degrees in Mathematics and Artificial Intelligence.
Marius Vadeika
Senior Data Scientist at Beyond Analysis working on various client projects in Retail and Information Services fields. Previous work experience includes using ML models for real estate property valuation.
Dominykas Stankevičius
Data Scientist with experience in marketing, banking and compliance, currently working at Beyond AML. He has background in Computer Science and Statistics.
Mantas Čepulkovskis
Mantas is currently working as a Senior Data Scientist at IBM. He has worked with clients from various industries to deliver a diverse range of data science solutions. He started his career as a Data Analyst at Danske Bank and before that he completed an MSc in Physics at University of Copenhagen.
Vytautas Bielinskas
In 2019 finished PhD in the field of Technology sciences. Working as Data Scientist at IBM Lithuania. Focus areas are Computer Vision, Predictive Analysis, NLP, and MLOps. Vytautas is AWS certified in Machine Learning. He creates content in Data Science-related topics on Youtube.
Dominykas Tvaska
Dominykas is a Data Analyst at Danske Bank focusing ETL pipeline development and BI dashboard creation. Dominykas also was a student of Turing College's first Data Analytics batch and a Data Analytics JTL.
Jokūbas Krasauskas
With an MSc in Business Information Management, Jokūbas has successfully transitioned into the field of data science. He currently works as a Decision Scientist at Vinted, where he combines his expertise in data analysis and ML to solve complex business problems.
Domantė Bulovaitė
Domante is a Senior Business Analyst at Danske Bank. Previously worked as a Data Scientist at Beyond Analysis and Danske Bank for 4 years. She holds a degree in Econometrics from Vilnius University.
Ramunė Vaišnorė
PhD candidate of Bioinformatics at Vilnius University having a broad spectrum of experience starting from a work in microbiology laboratory, R&D projects, Python programming during Master's, Data Analytics at Danske Bank, currently working as a Bioinformatician at VUH SK.
Greta Briliūtė
I am working as Data Analyst in Hostinger company where I work on various data analysis projects in order to generate value from the data. I started my path as a Data Analyst while studying Applied Mathematics at the Kaunas University of Technology, where I obtained Master's degree.
Dominika Szulc
Dominika is a ML Engineer with a postgrad degree in Data Science. She pivoted from optometry to AI/ML and now she is focused on the newest technologies in the field. She was DS JTL at Turing College previously and is now ready to share her knowledge with TC learners once more.
Austėja Brazinskaitė
Decision Scientist working at Vinted. Spends most of her days helping product team to improve the Search experience by combining data analysis and automation skills to solve complex business problems.
Core education team
World-class experts from industry and academia behind the course curriculum.
Giedrius Žebrauskas
Head of education
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.
Tadas Jucikas, PhD
Founding dean
CEO & Co-Founder at Genus AI, with over 17 years of experience in AI and Data Science. Tadas holds a PhD in Computational Neuroscience from the University of Cambridge.
Dovydas Čeilutka
Lead of Data Science
Director of Data Science & Analytics 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.
Gediminas Kalnutis
Lead of Data Analytics
Data Analyst at Omnisend, where he works on various data analysis related projects, including developing internal BI Platform. Has almost 10 years of experience as an Analyst / Data Scientist from various industries ranging from digital advertising to banks under his belt.
Karolina Džiugaitė, PhD
Academic board member
Research Scientist at Google Brain. She received her PhD from the University of Cambridge, where Zoubin Ghahramani supervised her. Karolina made essential contributions to GANs, scaling and understanding the Lottery Ticket Hypothesis.
Onkar Dalal, PhD
Academic board member
Onkar received his PhD from the Stanford University. Technology executive with years of experience in artificial intelligence (AI)/machine learning (ML) and scaling engineering teams at top-tier tech companies.
Ping Wang, PhD
Academic board member
Venture Builder at elmntri. Ex-Techstars Executive Director in Taiwan. Dr. Wang received CS, EE, and Biology bachelors & masters degrees from Stanford University, and integrated these studies for a PhD in AI + Neuroscience, and is published in top scientific and engineering journals, including in the top journal, Science.
Nikon Rasumov, PhD
Academic board member
Nikon has +10 years of experience in building B2C and B2B start-ups from the ground up. He holds a Ph.D. in Computational Neuroscience from the University of Cambridge. As well as affiliations with MIT and Singularity University.
Justas Mikaliūnas
Lead of Data Analytics
Full stack data professional who worked in various positions at Western Union, Vinted, Trafi, Telia and Wix. Currently leading data engineering team at Wix. Philosophy, Politics and Economics graduate from York University and Computer Modelling graduate from Vilnius University.
Mindaugas Jonikas
Advisor
PhD candidate at the University of Oxford. He, in collaboration with scientists at the Broad Institute, is developing deep learning and data science methods to detect and unbiasedly characterise neurons involved in Parkinson’s disease. In addition, he led various data science consultancy projects and published results in high impact journals.
Linas Jurkauskas
Lead of Data Analytics
Data team lead at Danske Bank - leads a team of specialists engaging in data analytics, engineering & science projects focused around pricing.8+ years of experience as data analyst in fintech and other industries with regular focus towards data flows' quality and efficiency.
Indrė Montvilaitė
Lead of Data Analytics
Data Scientist at Swedbank, focusing on fraud and money laundering detection. Indre has a Master in Econometrics and has been working with data since then.
Jannes Klaas
Advisor
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 Morgan
Consultant
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.
Rimvydas Rubavicius
Advisor
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.
