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 Story

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
team member

Dr Leslie Kanthan

CEO and Co-Founder

Expert in graph theory, quantitative research and efficient similarity search techniques. Previously worked for Credit Suisse, Bank of America and Commerzbank

team member

Dr Michail Basios

CTO & Co-founder

Expert in automatic code optimisation using AI techniques. Previously worked for BNP Paribas where he introduced new scalable innovative technologies.

team member

Dr Fan Wu​

CSO & Co-founder

Expert in evolutionary algorithms. Reputable paper author, multi-award winner and former Assistant Professor. Previously worked with BNP Paribas and Morgan Stanley.

team member

Dr Lingbo Li​

COO & Co-founder

Expert in evolutionary optimisation and Meta Learning. Former Associate Professor. Previously worked for AMD, Sumitomo-Mitsui Bank and Commerzbank.

Meet our team
team member

Roxana Dragomir​

Business

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!

team member

Wanying Fang

Business

Passionate about AI, entrepreneurship, social impact and female empowerment. Museum devotee. Meditation. Mindfulness. Cooking. Swimming. Colour Pencil Drawing. Curious about the world.

team member

Nikos Anifantis

Engineering

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.

team member

Ucizi Mafeni​

Engineering

My vision is writing painlessly maintainable and effortlessly readable code. Automate everything. Avid Gamer. Football fan. Always trying to learn something new.

team member

Vasilis Boursinos​

Engineering

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.

team member

Yuxi Huan​

Research & 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!

team member

Simon Lassourreuille

Engineering

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.

team member

Alex Spathoulas​

Engineering

Technology and Software Engineering enthusiast with working experience in banking and software development industry. I love music, intense workouts and trying different cuisines.

team member

Dr Chrystalla Pavlou​

Research

Computer Science PhD graduate with a Masters in Theoretical Computer Science and a degree in Electrical and Computer Engineering. Love reading and hiking.

team member

Rafail Giavrimis​

Research & 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!

team member

Buhong Liu​

Research

PhD researcher in CS, enjoying mathematical finance and data science, interested in market microstructure, Kop, lover of literature.

team member

Dr Manal Adham​

Research

Passionate about bridging the link between research in AI and real-world problems. I love to travel around the world and collect different experiences.

team member

Dr Kaifeng Huang​

Research & 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.

team member

Alexis Butler

Research & 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.

team member

Achilles Tzimis

Engineering

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!

team member

Vaggelis

Engineering

Experienced in Machine Learning, WebTech and DevOps. Passionate about developing and orchestrating new technologies. I constantly seek out innovative solutions to everyday problems. In my spare time, I like playing football, basketball and travelling.

team member

Wahidur Rahman​

Research

PhD researcher in Astrophysics and enamoured with all things Data Science and Physics. When away from my desk, I can often be found in a dark corner of a snooker hall, playing the piano or working up a sweat in the gym.

Scientific Advisors & Collaborators
team member

Dr Santanu Dash

Research

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.

team member

Dr Aurora Constantin

Research

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.

team member

Prof Federica Sarro

Research

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.

team member

A. Prof Justyna Petke

Research

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.

team member

Prof. Carmine Ventre

Research

Professor of Computer Science at King's College London. Carmine’s specialties: Algorithmic Game Theory, AI for finance and trading, Sponsored search auctions, Cryptography, Security, Theoretical Computer Science, Wireless networks, Algorithms, Microeconomics.

Advisors
team member

Ed Stacey

Advisor

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.

team member

Jason Kingdom

Advisor

Chairman & CEO of Blue Prism. Jason has been commercializing AI for over 25 years. He has a PhD from UCL Computer Science. He co-founded UCL's Intelligent Systems Lab in 1992. He is an EY entrepreneur of the year, author and editor of AI books, papers and patents.

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”.

2020

2020

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.

2020

2018

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.​

2018

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.

2015