Ronald Loggers

Ronald obtained a Chemical Engineering MSc degree at the Delft University of Technology (TU Delft) and an MBA from INSEAD. He worked as management consultant at McKinsey, worked in private equity for HAL Investments and thereafter as Managing Director helped setting-up Multifund, a family investments office. Subsequently, he fulfilled the CEO position at ISA Pharmaceuticals, a clinical stage immuno-therapy company based in Leiden. He currently acts as informal investor in innovative early-stage companies.

We met Ronald during the YES!Delft Validation Lab at a mentor matching session where there was an immediate click. After the Validation Lab, Ronald continued to be our mentor which was a great source of advice.

Arnold Lobbrecht

Arnold is a Civil Engineer of TU Delft. At that university he also obtained his PhD degree in water management and mathematics. Throughout his professional career Arnold has been working in industry as well as in academia. He has worked at TU Delft and IHE Delft, where he held the position of associate professor in hydroinformatics. Arnold has guided many MSc and PhD students. In 2000 he founded HydroLogic BV (www.hydrologic.com), where he is CEO and leading a group of 40 professionals in hydrology, simulation, real-time control, operational water management and software engineering. In 2014 he established Weather Impact (www.weatherimpact.com), a company providing weather-forecasting services to businesses.

Geronimo.AI co-founder Tom van Loef worked part time at HydroLogic during his studies. In this period, he and Arnold got acquainted. From the start of Geronimo.AI Arnold has been a coach to the founders.

Luc van den Ende – Co-founder

“Throughout my technical education I have had a broader scope resulting in great extracurricular activities in management and commerce. I often get the question whether I pity the fact that I don’t use the knowledge from my studies. However, my technical background supports me to swiftly understand client’s problems and possible solutions.

My enthusiasm for startups arose during my exchange period in Melbourne during the events of the incubator over there. I enjoy my job every day having the most diverse weeks and meeting many interesting people. I get most fulfillment when finding a challenge which our team is eager to solve and which really helps our client forward.”

Marco Sala – Machine Learning Engineering Intern

“The focus I decided to give to my Master is in the interdisciplinary area of Machine Learning and Space Engineering. I became really passionate about Machine Learning, and AI in general, two years ago while I was looking for Space Master specializations. Since then I have been realising how important these tools are for tackling really complex situations that would be, otherwise, almost impossible. Machine Learning, and Deep Learning in particular, is a field where it is almost impossible to be bored, with tons of papers coming out every year. I find the progress made in recent time extremely exciting and they made me wonder what we will be able to achieve in just 10 years!

Solid mathematics and good programming skills are the key ingredients for Machine Learning. Here at Geronimo.AI I am looking forward to improve both my understanding of advanced models and the quality of my code by applying learning algorithms, while also being involved in the Software Development process. The start-up environment is also the ideal environment for a fast integration and a steep learning curve!”

Yu Fee Chan – Machine Learning Engineering Intern

“During my studies, I have mostly focused on modelling complex optimisation problems with mathematics and solving them with algorithms. I see these problems as huge jigsaw puzzles where the pieces represent data. Nowadays, there is an abundance of puzzle pieces, often broken, blank, or even missing! With a bit of magic power from machine learning engineering you can fix or even create your own pieces, and build tools to help you or someone else solve the puzzle. Isn’t it satisfying when you put the pieces in the right place? That is exactly how I feel when building algorithms.

Efficiency and saving resources is key when trying to solve a problem. This holds for the ones that build a solution, as well as for the client. As a machine learning engineering intern, I aim to create tools that simplify some daily processes: saving resources, while maintaining a high efficiency. For this, I believe that machine learning has much more to offer and I hope to explore its potential during my time at Geronimo.AI.”

Jim Lee Tjin – Machine Learning Engineer

“Technology and science have always been a great interest of mine, I grew up building robots with Lego and assembling computers. During high school, I dabbled a bit in web development. During my study of Chemical Engineering at Delft University of Technology I got introduced to analysing data, modelling processes and performing optimizations.

For a couple of years now, I have been following the developments of machine learning with great interest. At my previous job I cultivated my passion for consulting, business and IT. There I found out that besides solving technical problems, I really enjoy working together with the client and my colleagues to develop the most efficient solutions.

Working at Geronimo.AI combines all of these factors along with the startup culture, interesting problems, active sharing of knowledge and great colleagues.”

Tom van Loef – Co-founder

“Throughout my young life I have had two major passions, the arts and the natural sciences. Therefore, I faced the crossroads of the creative and the scientific path. Finally the decision fell to study Applied Physics in Delft which after a year made me feel very abstract and theoretical.

My desire for self-expression and tangible things made me switch to Computer Science after which I quickly started working as a programmer. Without a clear direction up front, I found myself in a place where all my interests met: the natural sciences, my desire to do tangible things and even my creativity all came together while creating software. I even got paid while doing so!

Therefore, when the study times slowly faded and a decision had to be made about the future, starting a software company with a couple of friends (and amazing engineers) was a no-brainer for me. Besides engineering, I greatly enjoy the process of shaping requirements, getting to know new domains, and keeping a tight feedback loop to make sure our software is not just awesome, but useful in the long term for the client.”

Joost Meulenbeld (JM) – Co-founder

“During my education and career, I found out I like to be challenged with technical problems. Seeing a solution to a problem coming to fruition and contributing in a company gives me a lot of satisfaction.

These things are continually present in the projects we do at Geronimo.AI, where I can apply machine learning to quickly solve difficult problems with data. Using these techniques for varied problems requires to stay up to date with the current state of the art, which I think is exciting. Founding Geronimo.AI has allowed me to contribute to finding problems that can be solved using machine learning and to actually solve them, which gives me a lot of energy to push for the best results.”

Joost Dorscheidt (JD) – Co-founder

“I’m an engineer by heart. I love to create and build things. In my childhood I used to shake my presents to see whether there were LEGO bricks inside, to be prepared for the disappointment if there were none. My work these days mainly consists of coming up with and writing clever algorithms to tackle the challenges of our clients, which feels like I’m playing with LEGO bricks everyday.

Building algorithms doesn’t mean I’m sitting behind my PC all the time. Often, I’m having brainstorm sessions with the team to find the best solutions. What gives me energy, is that every time we enter the meeting room for a brainstorm session, everyone has a different idea in his or her head. But after the session, all the thoughts are aligned into one plan and mission to tackle the challenge.

What motivates me even more is to see the diversity of our team. I think it is essential that we did not start as four engineers that only want to write code. Instead, we have a balanced team, including people that are more “business” oriented, which understands what decisions to make to keep the startup growing.”

Victor Rijkaart

After his studies in Aerospace Engineering at the TU Delft, Victor worked at Airbus in 4 different countries in various leadership roles within engineering and production. He then pursued his career in process improvement, lean and six sigma as a consultant and continuous improvement manager. He became passionate about innovation whilst working in space industry, monetizing technology development from space missions for earth applications. This accumulated in building a new venture as in intrapreneur at CGI where he became the Director Consulting Services Space Data Applications. In the summer of 2019, he went back to his roots by taking on a role at GKN Fokker as Investment manager, followed by his recent appointment as Director Operations. Alongside, stemming from his entrepreneurial spirit, Victor has been very active in advising start-ups at YES!Delft and the Copernicus Master Accelerator programme.

For several years Victor has been connected as Business Coach to the Start-up Voucher programme of the Faculty of Aerospace Engineering of the TU Delft. In this role he mentored us, which has been extended ever since. He has since founded the Aerospace Innovation Hub with partners from TU Delft to accelerate innovation by bringing together students, start-ups, corporates and scientists.

Ivor Zagorac – Machine Learning Engineering Intern

“As a high school student, I was always interested in mathematics and logic. I was able to combine this interest with the practice of solving mathematical and logical problems during my Computer Science studies. In the beginning, solving these problems would require a couple of students to work together but at some point, the problems got too complex and this is when machine learning got introduced. I was immediately amazed by how a computer could get to solutions involving massive datasets or complicated classification problems.

As an intern at Geronimo.AI, I get to apply this enthusiasm in the real world. I’m solving problems for other businesses with the usage of machine learning and this is done in a great working atmosphere with super talented colleagues who help me develop as a Machine Learning Engineer.“

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Jesse van Oostrum – Machine Learning Engineer Intern

After having studied statistics and mathematics from a theoretical point of view at the University of Cambridge, I wanted to put my skills into practise in a more applied setting. I have joined Geronimo.AI for two reasons, the first being the interesting and impactful projects the company is working on. The second reason for joining this startup is that the technical expertise and hands-on approach of my colleagues are a good complement to my theoretical background and more conceptual way of thinking.

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Kasper Uleman – Machine Learning Engineer

“As a part-time engineer at Geronimo.AI I have the opportunity to combine my academic studies with the knowledge I acquire at work. I’m a master student in Applied Mathematics at Delft University of Technology, so there is a lot of common ground to be found between my studies and AI applications. I believe both worlds can reinforce one another. Working at Geronimo.AI provides a welcome change to the more abstract side of mathematics and helps me stay in touch with the fascinating world of machine learning.”

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Stijn Bosma – Machine Learning Engineer

“Ever since I have heard of artificial intelligence, I was fascinated by its effectiveness. It can offer solutions in almost every field and the groundbreaking results that are booked can be intriguing sometimes. My master gave me a solid understanding of the maths behind AI and helped me explain the magic. We are nowhere near programming robots that take over the world. To me, AI contains a bunch of algorithms that started solving everyday problems when the increase in data and computation power was realised.

At Geronimo.AI, I work with techniques that interest me and I find a great challenge in applying them in various situations in which they are useful. The aspect of a young and dynamic team is something that I really enjoy. Both the technical challenge and the social environment make me go to the office enthusiastic every day.“

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Board of Advisors