Who we are
Neural Concept creates Deep Learning algorithms for enhanced engineering. We help companies speed up their R&D cycles, augment their product performance and solve their next engineering challenge.
We are working for global leaders in industries ranging from Automotive to consumer electronics and with cutting edge sport teams from Sailing to Car-Racing, who trust our technology to ensure they stay ahead of the curve in their fields.
We provide creative minds and computers with the software to invent, design and engineer together, with simplicity and ever higher levels of performance.
We want to help all those who are working on new technologies to foster a great and sustainable future on our planet and outside.
Our company was born in a top notch research lab at EPFL and the values of research are in our DNA. We are honest, pragmatic and passionate about innovation.
Meet our team
Co-founder & CEO
Pierre is Chief Executive Officer at Neural Concept, which he co-founded in 2018. Pierre received an engineering degree in Applied Mathematics and a Masters degree in Operations Research from Ecole Polytechnique in France. After working as an optimization and machine learning engineer for Credit-Suisse in London, he joined the Computer Vision Laboratory at EPFL, where he obtained his doctoral degree under the supervision of Prof. Pascual Fua and Prof. Francois Fleuret. His research focused on Deep Structured Learning and Variational Inference applied to Computer Vision. During and after his thesis, Pierre worked as a consultant in Machine Learning and optimization for multiple companies such as Thales, EFCables, Sonalytic (Spotify) and Honywell.
Head of R&D
Jonathan received an engineering degree and Masters degree in applied mathematics from Ecole Polytechnique. After obtaining his PhD in mathematics from University Paris V under the supervision of Pr. Mathieu Rosenbaum and CFM chairman Jean-Philippe Bouchaud, he joined the music industry start-up Sonalytic where he developed cutting-edge machine-learning-based techniques for audio identification. The start-up was later acquired by Spotify, where he served as senior research scientist and led various research projects in the areas of music analysis and music creation. He is now director of R&D at Neural Concept.
Théophile holds a master’s from Mines ParisTech, with a specialization in mathematics and machine learning. Previously, he worked in other early stage start-ups, going from developing a 3D bioprinting technology for cancer research, for which he co-authored a patent, to creating machine-learning algorithms to monitor and reduce buildings energy consumption. He is now leading the engineering effort at Neural Concept.
Senior Technology Evangelist
Anthony graduated in Physics from the University of Turin (Italy). He spent some time there as a researcher on optimal control and non-equilibrium thermodynamics. Before joining Neural Concept, he has been 30 years in the field of Computational Fluid Dynamics in several engineering and sales roles as a senior researcher, engineering director and sales manager. With substantial experience in Simulation and burning enthusiasm for Deep Learning, Anthony embraced enthusiastically Neural Concept with the mission of helping companies and organizations across all the different industries and simulation applications.
Thomas von Tschammer
Director of Operations
Thomas is an experienced engineer with a master’s degree in mechanical engineering, specialization in Aero and Hydrodynamics from Ecole Polytechnique Fédérale de Lausanne. He had a successful experience as vice-president of the Junior Entreprise EPFL and worked in both the G-Lab UpCourtine and the Computer Vision Lab of EPFL.
Lead Software Engineer
After graduating from the Indian Institute of Science with a master’s degree in systems sciences and Automation, Saswata worked as a software engineer for over 5 years at Amazon and later at AWS. At AWS, he was part of the algorithms team which build AWS Sagemaker. At Neural Concept, Saswata is working on building the cloud platform for training 3D deep learning models.
Aras holds a master’s degree in Computer Science at EPFL. During the studies, he worked in both research and development projects at companies from different domains including finance and automative industry. Currently, he is working on developing software services at Neural Concept.
Software Engineer in charge of performance
After graduating from Bauman Moscow State Technical University (BMSTU) with honors in the specialization Computer-aided design (CAD), Artem worked as Software Engineer for one year in the Research Institute of Precision Instruments (which is part of Russian Space Systems). After that, he pursued his education in École polytechnique fédérale de Lausanne (EPFL) in Computer Science. In the meantime, he was working with Neural Concept for semester projects, as intern, during thesis. After his graduation he continued working full time in the company.
Luca holds a master degree in Computational Science and Engineering from EPFL, a master degree in Mathematical Engineering from Politecnico di Milano and a bachelor degree in Mechanical Engineering from EPFL. He interned for Startups, for ESA and CERN and collaborated with Neural Concept while studying. He is now Application Engineer at Neural Concept.
Machine Learning Researcher
After obtaining his BSc in Chemical Engineering from the National Technical University of Athens, Dmitry pursued a PhD degree in Chemical and Biological Engineering at Princeton University. His research focused on nonlinear dynamics and the applications of optimization and unsupervised learning in the design of new materials. Upon graduation he moved to Switzerland to work as a deep learning engineer designing text-to-speech systems before joining Neural Concept as a research engineer.
Machine Learning Research Intern
Tanguy is a student at MINES ParisTech pursuing a master’s degree with a major in Data Science and Machine Learning. He is currently doing a gap year to discover the professional world. Tanguy joined Neural Concept as a research scientist intern and he works on transfer learning models.
Machine Learning Research Intern
Artem holds a Bachelors degree in Moscow Institute of Physics and Technologies and currently getting a degree in Data Science EPFL. Starting his work in EPFL Computer Vision laboratory as a Research Assistant took part in a development of AI-driven CFD optimisation and continued his work in Neural Concept as Research Intern.
Application Engineer Intern
Martino holds a master degree in Computational Science and Engineering from EPFL and a master degree in Mathematical Engineering from Politecnico di Milano. He previously worked as a research scientist in startups and interned at the signal processing lab at EPFL. His research focused on topological data analysis and geometrical deep learning. He is now Application Engineer Intern at Neural Concept.
Accounting, Finance and Administrative Manager
Deniz is a young graduate of a Master’s degree in Accounting, Control and Finance from HEC Lausanne (UNIL) and has a Bachelor’s degree in business administration from the University of Fribourg. At Neural Concept, he takes care of a multitude of tasks including accounting, financial reporting, invoicing, payroll, taxes and financial planning.
Marketing and Communication Specialist
Kyunghyun has a Barchelor’s degree in Cinematography from University of Montpellier 3. Previously worked for Global Migration Film Festival, organized by International Organization for Migration (UN Migration), and now she takes care of tasks related to marketing and communication in Neural Concept.
Meet our board
Co-founder & CEO
Pierre received an engineering degree in Applied Mathematics and a Masters degree in Operations Research from Ecole Polytechnique. After working as an Engineer for Credit-Suisse in London, he joined the Computer Vision Laboratory at EPFL. He got his doctoral degree in early 2018 under the supervision of Prof. Pascual Fua and Francois Fleuret. His research focused on Deep Structured Learning and Variational Inference applied to Computer Vision. As a result of his doctoral thesis, Pierre took the leap as an entrepreneur and founded Neural Concept in 2018.
François Fleuret got a PhD in Mathematics from INRIA and the University of Paris VI in 2000, and an Habilitation degree in Mathematics from the University of Paris XIII in 2006.
He is Full Professor in the department of Computer Science at the University of Geneva, and Adjunct Professor in the School of Engineering of the École Polytechnique Fédérale de Lausanne. He has published more than 80 papers in peer-reviewed international conferences and journals.
He is Associate Editor of the IEEE Transactions on Pattern Analysis and Machine Intelligence, serves as Area Chair for NeurIPS, AAAI, and ICCV, and in the program committee of many top-tier international conferences in machine learning and computer vision. He was or is expert for multiple funding agencies.
He is the inventor of several patents in the field of machine learning, and co-founder of Neural Concept SA, a company specializing in the development and commercialization of deep learning solutions for engineering design.
His main research interest is machine learning, with a particular focus on computational aspects and small sample learning.
Philipp Thurn und Taxis
Philipp has been supporting Neural Concept’s development since our early days through his involvement in strategic and commercial decisions.
Meet our advisors
Pascal Fua, who is Operations and Scientific advisor, received an engineering degree from Ecole Polytechnique, Paris, in 1984 and the Ph.D. degree in Computer Science from the University of Orsay in 1989. He then worked at SRI International and INRIA Sophia-Antipolis as a Computer Scientist. He joined EPFL in 1996 where he is now a Professor in the School of Computer and Communication Science and heads the Computer Vision Laboratory. Pascal brings more than 8 years of experience in business and operations acquired through his experienced as co-founder of two successful spinoff companies: Pix4D and PlayfulVision.
Flavio has spent more than two decades in the United States, as a student, researcher, and lecturer in the Graduate Aeronautical Laboratories at the California Institute of Technology (Caltech, Pasadena, USA) as well as a research engineer at NASA Jet Propulsion Laboratory (Pasadena, USA). Since mid-2000, he has been in Switzerland teaching and conducting research in fluid mechanics and aerodynamics at HEPIA (HES-SO University of Applied Sciences). He is also lecturing (Compressible Fluid Mechanics) at the Ecole Polytechnique Fédérale de Lausanne (EPFL).
Senior aerospace application engineer working at EXA Corporation recently acquired by Dassault Systemes. EXA provides a massively parallel cloud-based computational fluid dynamics simulation solution based on the Lattice Boltzmann equation. He is specialized in Computational Fluid Dynamics for aerodynamics and aeroacoutics studies applied to Aerospace applications.
EPFL Innovation Park, Batiment C, 1015 Lausanne
Landshuter Allee 8-10,