TurinTech is Built for Automated AI Optimisation
TurinTech uses AI to create and optimise AI automatically, empowering enterprise to transform business with smart and efficient AI solutions.
Our four co-founders first met at University College London during their PhD research. Having worked for prestigious financial institutions, they were frustrated by the manual machine learning developing process and manual code optimising process, which are time-consuming, resource-intensive and requires deep domain expertise. To overcome these difficulties, they built an AI optimisation platform to automate the entire process of creating, deploying and optimising AI as well as software performance optimisation. This is how TurinTech was born in 2018.
Meet our founders
Dr Leslie KanthanCEO and Co-Founder
Expert in graph theory, quantitative research and efficient similarity search techniques. Previously worked for Credit Suisse, Bank of America and Commerzbank
Dr Michail BasiosCTO & Co-founder
Expert in automatic code optimisation using AI techniques. Previously worked for BNP Paribas where he introduced new scalable innovative technologies.
Dr Fan WuCSO & Co-founder
Expert in evolutionary algorithms. Reputable paper author, multi-award winner and former Assistant Professor. Previously worked with BNP Paribas and Morgan Stanley.
Meet our team
Enthusiastic about learning and trying out new things. I take joy in helping others develop their skills and better themselves. Passionate about start-ups and AI. Adventurous. Avid cyclist. If it's heavy, I will deadlift it!
Passionate about AI, entrepreneurship, social impact and female empowerment. Museum devotee. Meditation. Mindfulness. Cooking. Swimming. Colour Pencil Drawing. Curious about the world.
Enthusiast in Web Technologies and Machine Learning. Exploring new technologies and developing software solutions. I have a passion for sleek user-friendly design and I love writing nicely architecture, clean and maintainable code.
Experienced Software Engineer with a demonstrated history of working in the banking and data science industry. I am a confident communicator, and I am comfortable working either independently or as part of a team.
Yuxi HuanResearch & Engineering
Passionate about data science and engineering, interested in optimisation research. Ballet enthusiasts, big fan of classical music, traveling, baking, swimming, always looking to try out new things!
Enthusiastic about open source and Linux, I love to adapt my working environment and automate what I can. I love reading and playing board games.
Dr Chrystalla PavlouResearch
Computer Science PhD graduate with a Masters in Theoretical Computer Science and a degree in Electrical and Computer Engineering. Love reading and hiking.
Rafail GiavrimisResearch & Engineering
Phd researcher in Computer Science. Enthusiastic about Source Code optimisation and ML. I like traveling, aviation and gaming. In my free time I help organise hackathons!
PhD researcher in CS, enjoying mathematical finance and data science, interested in market microstructure, Kop, lover of literature.
Dr Kaifeng HuangResearch & Engineering
PhD candidate in Software Engineering. Passionate about boosting software development and applying intelligent techniques. I like playing badminton, basketball, tennis, etc. Enjoy music, swimming, traveling and photography.
Alexis ButlerResearch & Engineering
Enthusiastic about applied ML and security. I was brought up on the ice rink and continue to spend my free time training. When I'm not skating, studying or working you can find me running events for the university's trans community.
Passionate about data science and engineering, interested in problem solving. Fan of swimming, travelling, reading, baking, cooking. Always looking to try out new experiments and learning Krav Maga!
Scientific Advisors & Collaborators
Dr Santanu DashResearch
Lecturer at University of Surrey with multiple publications in the area of Machine Learning, Program Analysis, Security and Search Based Software Engineering. His interests involve the combination of AI methods (such as NLP) with software engineering techniques to improve the quality of programs.
Dr Aurora ConstantinResearch
Researcher and Teacher at the University of Edinburgh, School of Informatics. Her main research interests are in the areas of Human-Computer Interaction, Educational Technology, Digital Learning, Multimodal Interaction, Assistive Technologies, Technology for Autism.
Prof Federica SarroResearch
Professor of Software Engineering at University College London. She has published over 80 peer-reviewed scholarly articles in well-renowned Software Engineering venues and has also received several international awards, lately the IEEE Technical Council Software Engineering Rising Star Award.
A. Prof Justyna PetkeResearch
Principal Research Fellow and Proleptic Associate Professor at the Centre for Research on Evolution, Search and Testing (CREST), University College London. She holds an EPSRC Early Career Fellowship on Automated Software Specialisation Using Genetic Improvement.
Cofounder of IQ Capital with over 20 years’ deep-tech venture capital experience. Ed specialises in leveraging the subtle interactions between developing disruptive technology, discovering product-market fit, and optimising business strategy. He is a rregular contributor to Forbes.
Horizon 2020 Marie Skłodowska-Curie Actions (MSCA)
TurinTech wins 2020-the Biggest EU Research and Innovation Programme. Based on our proprietary research in AI Optimisation, TurinTech will work with colleagues from world-class universities and companies in the UK and EU on the project “Deep Intelligent Optical and Radio Communication Networks”.
Highly Commended by Tech Nation Applied AI
Applied AI is Tech Nation’s first growth programme for Artificial Intelligence looking to help the UK’s most promising founders who are applying AI in practical areas to create real-world impact. TurinTech is recognised as Highly Commended by Tech Nation Applied AI.
University College London Centre for Blockchain Technologies Call for Proposals Winner
The UCL Centre for Blockchain Technologies (CBT) is the largest center in the world by number of associates.The Call for Proposals Competition supports and awards best community members with research grants on distributed ledger technologies.TurinTech’s proposal “A Fair and Independent Blockchain Evaluation Framework and Advisor” was shortlisted as one of nine winners.
16th Annual Humies Awards
TurinTech was one of the three award winners out of 19 candidates. Our paper “Darwinian Data Structure Selection” won the Bronze Award. The paper was published in the proceedings of the 2018 26th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE).
Symphony Hackathon "Most Cutting-edge Technical Development" Winner
Most Cutting-edge Technical Development - The most unique and technologically advanced project. This project will take an innovative approach in using Symphony APIs to enhance a workflow in a never-before-seen way.
2016 & 2017
9th & 8th International Symposium on Search-Based Software engineering
The SSBSE is the premier international research symposium on Search-based Software Engineering. In 2016, TurinTech’s "HOMI: Searching Higher Order Mutants for Software Improvement" won the Best Challenge Paper Award out of 48 submissions. In 2017, TurinTech’s “Optimising Darwinian Data Structures on Google Guava” won another Best Challenge Paper Award in technical track, out of 26 submissions.
10th International Workshop on Mutation Analysis
Mutation 2015 is the 10th in the series of international workshops focusing on mutation analysis. It is in conjunction with the 8th International Conference on Software Testing, Verification, and Validation (ICST 2015). Mutation is acknowledged as an important way to assess the fault-finding effectiveness of tests and is now established as a major concept in software and systems V&V.