At ChemAlive, our goal is to allow the full and automatic calculation of accurate and reliable data for molecular properties and synthetic reactions available to all chemists from basic 2D chemical syntax. Our technologies beckon a future where, through computation, we know everything about a molecule and how to make it before the first test tube is in hand. A future where R&D is more directed, chemical processes are more efficient, more environmentally sound and the chemical industry is able to tackle more technological and medicinal challenges faster, for less, and with a greater beneficial impact and scope on society.
Meet the Leadership Team
with over 50 years experience in computational and experimental chemistry
Peter Jarowski, Ph. D.
Peter is an expert in the application of computational methods to molecular design. After NYU (B. Sc.), UCLA (Ph. D.), ETH, EPFL and as a former professor of chemistry, he has the vision to achieve reliable, meaningful chemical predictions without the hassle of the technical aspects of computational chemistry.
Laetita Bomble, Ph. D.
Laetitia is an expert at scientific programming for chemical analysis, especially the quantum dynamics of molecules. After Université de Paris-Sud (Ph. D.), and EPFL, Switzerland she integrates her knowledge of programming to bring new challenge-specific functionality to the chemistry community.
Thomas Eaton, Ph. D.
Thomas studied chemistry at Oxford University and obtained his Ph. D. from the University of Basel in organic chemistry. Following a career at Deloitte in management consulting and UBS in contract negotiation he drives the team to bridge the gap between the science and the business case.
Martin Ockajak, MSci
VP of Engineering
Martin is a software engineer with a Masters in computer science focused on distributed computing and artificial intelligence. He enjoys designing complex systems using cutting edge technology and leading teams to build deep technology products. He has done so for a number of start-ups over the years delivering under pressure and with limited resources.
Meet the Advisory Board
with expertise across Chemistry, Software Development & Business
Victor Canivell is an experienced executive with a successful track record as European director and VicePresident of a number of high tech multinationals (HP, 3Com, Silicon Graphics, PerkinElmer) and CEO/ Board Member of innovative software start-ups in the security, bioinformatics and SaaS markets. His current interests reside in quantum computing, security and AI. Victor holds a PhD in Physics from UB, an MBA from ESADE and an extensive international business experience having worked and lived in the UK, Germany, Switzerland, Spain and the US.
Jacques Bauer is an expert medicinal chemistry professional having directed R&D at Vifor Pharma for many years. He is helping ChemAlive gain access to key connections in CRO companies within Switzerland and refining our business positioning. He is a natural products chemist and biologist with more than 25 years of global experience in pharmaceutical industry at an international level in R&D, multi-project management, drug development in oncology and immunology, drug discovery to clinical level phase I, production development and a strong experience in intellectual property.
Meet the Scientific Advisory Board
with focus on Machine Learning and data science in applied Quantum Physics and Chemistry
Nicola Marzari holds the chair of Theory and Simulation of Materials at EPFL, where he is also the Director of the Swiss National Centre for Computational Design and Discovery of Novel Materials (NCCR MARVEL). Before joining EPFL he held the first Statutory Professorship of Materials Modelling at the University of Oxford, and the Toyota Chair of Materials Engineering at MIT. He currently serves of Chairman of Psi-k. The THEOS lab developed the powerful automation and database technology AiiDA that is a core technology being used by ChemAlive
Anatole von Lilienfeld is a professor of physical chemistry who specializes in the development and application of machine learning models for ultrafast yet accurate prediction of quantum properties. He is affiliated with the Department of Chemistry at the University of Basel, Switzerland, executing research funded by MARVEL, the Swiss National Science Foundation, an ERC consolidator grant, Google and others. He published over 70 papers in the field and has held numerous positions in Europe and the United States. For a full record of his achievements please visit his website.