Sensmetry was founded by researchers and engineers in order to bring mathematical rigor to the development and testing of autonomous systems.
Our team has over 50 years of combined experience in developing safety-critical automotive systems, big data and machine learning solutions.
Dr Steven KeenCo-Founder & CEO
Steve is a controls and software engineer with 25 years of experience in the development and commissioning of complex automotive systems. He received his PhD in Engineering (2009) from the University of Cambridge, UK on the topic of "Driver steering behavior & modeling for automated driving" and is currently a SOTIF contributing expert.
Dr Juozas VaicenaviciusCo-Founder & CTO
Juozas is an industrial researcher in Machine Learning & Statistics with 8 years of experience in modeling and evaluating intelligent systems; from atomic clocks in satellites to computer vision algorithms in autonomous vehicles. He completed his PhD in Mathematical Statistics at Uppsala, SE, prior studies at Oxford University, UK. A SOTIF contributing expert.
Tilo WiklundChief Data Scientist
Tilo is a multi-disciplinary researcher in Mathematics, Statistics, and Computer Science. Tilo has contributed to both fundamental and applied research across domain boundaries while a PhD student at Uppsala, SE, and more recently in industry. Tilo is an expert in statistical modeling, high-dimensional data analysis, an open-source contributor, and a functional programming enthusiast.
Dr Rimantas VaicenaviciusChief Statistician
Rimantas is an accomplished statistician with over two decades of experience in official statistics as well as data & process quality assessment and management. His past work spans broadly across different industry & government sectors and geographical locations. Rimantas received a PhD in Mathematics from the Sobolev Institute of Mathematics, Novosibirsk, in 1991.
Kęstutis JankevičiusChief Systems Engineer
Kęstutis is a systems engineer with controls and model-based software development background. Prior to joining Sensmetry, he spent 6 years working at Jaguar Land Rover as a controls engineer developing various software functions in the xEV Energy Management area with a particular focus in usage of ADASIS E-Horizon map data. Kęstutis graduated from The University of Edinburgh (UK) with a degree in MEng Electronics and Electrical Engineering.
Domantas CibasR&D Engineer - Embedded Systems Lead
Domantas has 6+ years of experience in embedded systems development and software engineering at both established industry leaders and innovative startups. Before Sensmetry, Domantas worked at ARM in Cambridge, UK, as well as at automation startups in the renewable energy and automotive fleet telematics areas. Domantas obtained MEng in Electronics and Electrical Engineering from The University of Edinburgh (UK).
Antanas KalkauskasTech Lead - Applied Mathematics
Antanas is an Applied Mathematician with solid Software Development skills and industrial experience. His academic background is in in Differential Equations, Probability Theory, and Computational Statistics. Antanas has received a BA and MMath degrees in Mathematics from the University of Cambridge, also, is an International Mathematical Olympiad medalist.
Austė GrigaitėData Scientist
Austė is a Data Scientist with industrial experience in Mathematical Modelling, Software Engineering & Data Analysis as well as academic research background in Discrete Optimization. Austė has received an MSc in Pure Mathematics from Imperial College London.
Dovydas BieliauskasEngineering Analyst
Dovydas is an engineering analyst with experience in data analysis and software development. Dovydas earned a bachelor's degree in Mechanical Engineering at the University of Manchester (UK) and is currently completing his master's degree in Mechatronics at the Technical University of Braunschweig (DE).
Dan has a strong track record in building business by exploiting existing intellectual property to meet customer needs. He is well networked and operates at the Board level of large listed companies. He provides unique and practical leadership to the delivery of ‘bottom line’ improvements in large complex operations. An engineer by training, the University of Cambridge.
Dr Raazesh SainudiinAdvisor, Mathematical Data Engineering Sciences
Raazesh is an outstanding researcher in Statistics and an industry leader in Data Science & Engineering. The research university list includes Oxford (UK), Cornell (USA), and recently Uppsala (SE), where Raazesh is an Associate Professor of Mathematics with Specialisation in Data Science. Raazesh's industrial experience ranges from co-founding and leading the development of a advanced data analytics product in a tech start-up, to guiding AI strategy as 'Director, Technical Strategy & Research’ at Combient Mix, an exclusive data science & analytics firm for the Combient network of Nordic’s largest companies (incl. Ericsson, Scania, etc.).