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Rienk Eelkema

Dr. Rienk Eelkema Associate Professor +31 (0)15 27 81035 R.Eelkema@tudelft.nl Building 58, D2.340 Van der Maasweg 9 2629 HZ Delft The Netherlands Management Assistant Veby Agus +31 (0)15 27 82682 (phone) +31 (0)15 27 84289 (fax) V.A.Agus@tudelft.nl twitter Rienk's research focuses on interactive organic and polymer materials in aqueous and biological environments. Main activities are in three areas: interactive soft materials using fuel-driven chemical reaction networks, biomolecule labelling, and responsive polymers in biomedical materials. His lab pioneered the use of catalysis to control the kinetics of formation of molecular gels, and the use of chemical fuels to make synthetic active polymers, akin to GTP-driven microtubule polymerization (collaboration with prof. Jan van Esch). His lab is currently focused on the development of signal responsive chemical reaction networks and their incorporation in polymer materials, the application of responsive polymer materials in biomedicine and radiotherapy (collaboration with prof. Antonia Denkova) and protein labeling for sequencing (collaboration with Cees Dekker Lab and Chirlmin Joo Lab). Research group Academic background Rienk was born in 1978 near Utrecht, the Netherlands. He completed his undergraduate degree in Chemistry at the University of Groningen in 2001, majoring in organic chemistry (supervisor Prof. Ben L. Feringa). He then obtained his PhD in Chemistry in the same group, studying supramolecular chemistry, stereochemistry and nano- and microscale motion in liquid crystalline systems. After completing postdoctoral work at the University of Oxford with Prof. Harry L. Anderson FRS in the field of nanoscale insulation of molecular wires, he joined the TU Delft Faculty in 2008 and obtained tenure in 2013. He was promoted to Associate Professor in 2017. +31 (0)15 27 81035 R.Eelkema@tudelft.nl Building 58, D2.340 Van der Maasweg 9 2629 HZ Delft The Netherlands Management Assistant Veby Agus +31 (0)15 27 82682 (phone) +31 (0)15 27 84289 (fax) V.A.Agus@tudelft.nl twitter Keywords Organic Chemistry Soft Materials Responsive Polymer Materials Out-of-equilibrium Materials Soft Materials for Biomedical Applications Research Google Scholar Educational Activities Molecular Engineering of Soft Materials in Health Care (MSc CH3382) Principles of Chemistry & Thermodynamics (BSc AESB1120-15) Practicum Basisvaardigheden (PBV) (BSc MST 4051PRBVA) Career & Education 2017 - present Associate professor 2008 - 2017 Assistant professor (tenured 2013), Delft University of Technology 2006 - 2008 Postdoctoral research fellow, University of Oxford 2001 - 2006 Ph.D. Chemistry, University of Groningen (cum laude, top 5%) 1996 - 2001 M.Sc. Chemistry, University of Groningen Research Interests Application of organic synthesis in materials chemistry, small molecule and polymer self-assembly, new synthetic methodology, catalysis, optoelectronic materials, soft materials, soft robotics, and dynamic and out-of-equilibrium molecular self-assembling systems, application of organic chemistry in biomedicine, protein modification, combined radio-chemotherapy Awards and Grants TU Delft Education Team Award for the Pre-University Chemistry MOOC TU Delft Bioengineering Institute MSc project grant MC-ITN 2018 NWO-NSFC Advanced Materials grant 2017 ERC Consolidator Grant 2016 STW Open Mind grant 2016 Delft Health Initiative seed grant 2016 FOM programme grant 2016 NWO Vidi grant 2013 Early Excellence Profile in J. Phys. Org. Chem. 2013, 26, 287-288 NWO Echo grant 2011 NWO Complexity grant 2010 NWO Veni grant 2009 Marie Curie European Reintegration Grant 2009 KNCV-Backer Award for the best Ph.D. thesis in Organic Chemistry in the Netherlands 2007 Marie Curie Postdoctoral Research Fellowship Grant 2006 Rubicon Postdoctoral Research Fellowship Grant 2006 Strating Prize for the best Organic Chemistry colloquium 2000–2001 at the University of Groningen. Title: “Palladium Catalyzed Tandem Reactions” Invited Lectures IChF online seminar “Breaking barriers - physical chemistry in biological systems” 2022 Single Molecule Protein Sequencing conference, Delft 2022 Dynamic covalent chemistry in water conference, University of Twente 2022 NWO Chains 2022 Focus Session “Water-based dynamic covalent chemistry: molecules, techniques, materials” GRC Systems Chemistry 2022, USA LIBER symposium 2022, Helsinki, Finland RSC ChemSci2020, India (virtual) 2021 Gent University 2019, Belgium Tsinghua University 2019, Beijing ICMSC, Lecce, Italy, June 2019 KNCV SOC Wageningen Symposium, April 2019 CHAINS, the Netherlands, December 2018 ERC conference Israel, November 2018 ArmChemFront, Yerevan, Armenia 2018 Radboud University Chemistry Colloquium, Nijmegen NL, 2017 ACS Spring Meeting, San Francisco, USA 2017 KNAW (Dutch Royal Academy of Sciences) Academy Colloquium: Functional molecular systems going out-of-equilibrium 2016 Micro- and Nanomachines: Chemical and Biological Nanomotors 2016 MESA+ / UTwente Soft Matter+ event, NL 2016 CHAINS soft matter, NL 2015 GRC Supramolecular Materials, Italy 2015 Wageningen University, NL 2015 COST School Colloids and Interfaces, London UK 2015 Delft Process Technology Institute annual symposium, NL, 2014 Leiden University Chemical Biology Lecture, NL, 2014 Prof. Ben Feringa's 100th PhD Symposium, NL, 2014 Royal Dutch Chemical Society Spring Meeting, NL, 2014 University of Geneva, Switzerland, 2014 NWO Molecules: Synthesis and Properties, NL, 2013 MRS Spring Meeting, San Francisco, USA, 2013. International Conference on Physical Organic Chemistry, Durham, UK, 2012. Fysica-Chemie Conference 2012, University of Twente, 2012. Department of Chemistry and Chemical Biology, University of Wisconsin at Milwaukee, 2012. NERC institute Seminar, Northwestern University, Evanston, USA, 2012. Department of BioNanoscience Seminar, TU Delft, 2012. Institute for Systems Chemistry Seminar, University of Groningen, 2012. WUR Department of Chemistry Colloquium, Wageningen, 2010. EUChems Young Investigators Workshop, Regensburg, Germany, 2010. Dutch Cancer Institute (NKI), Amsterdam, the Netherlands, 2009. KNCV-Backer award symposium, Free University of Amsterdam, the Netherlands, 2007.

Tom Burdyny

Dr. Tom Burdyny Assistant Professor T.E.Burdyny@tudelft.nl Building 58 Van der Maasweg 9 2629 HZ Delft The Netherlands Management Assistant Roos Roeling +31 (0)15 27 82165 M.A.H.Roeling@tudelft.nl twitter instagram The Burdyny Energy Lab in the MECS Group is focused on researching technologies that are capable of replacing current fossil fuel manufacturing routes with processes that use renewable electricity as an input. These technologies use electricity to form chemical bonds (also known as electrocatalysis). At present, our primary research focus is on carbon-dioxide (CO 2 ) electrolysis, which can convert CO 2 into base chemicals such as CO and ethylene. We take a more engineering approach to the research problem and are focusing on a) scaling-up CO 2 electrolyzers in the lab, b) understanding transport related phenomena occurring inside a CO 2 electrolyzer, and c) assessing the potential impact and operation of H 2 O and CO 2 electrolyzers on our global energy infrastructure. The work is embedded within the e-Refinery Institute. Research group Academic background Thomas Burdyny has a mechanical engineering education in the form of a BEng and MASc from the University of Victoria in Canada. He moved to the University of Toronto for his PhD thesis in photocatalytic and electrocatalytic conversion of CO 2 (under Prof. David Sinton), before beginning a postdoctoral fellow at TU Delft in 2018. In 2019 he opened his research group as an Assistant Professor working to advance the performance and scalability of electrochemical technologies. The research mixture of the group is broad and ranges from operando techniques, catalyst development, electrochemical engineering, and transport analysis of electrochemical systems. T.E.Burdyny@tudelft.nl Building 58 Van der Maasweg 9 2629 HZ Delft The Netherlands Management Assistant Roos Roeling +31 (0)15 27 82165 M.A.H.Roeling@tudelft.nl twitter instagram Keywords Solar Fuels Energy Systems Transport Phenomena ResearcherID Google Scholar

Matheus Martinez Garcia

Background I’m a Brazilian PhD candidate. I’ve obtained my Bachelor (2013-2018) and Master (2018) degrees in Mechanical Engineering at UNICAMP, both in numerical simulations (CFD) of multiphase flows. Currently, I’m working on the development of a controlled swirl-flow separator via an experimental approach. Research Optimized Controlled Inline Fluid Separation Petroleum is hardly found pure in nature. Its extraction usually involves large amounts of other components, such as water, gas or solid particles. Currently, around 4 barrels of water are extracted from the wells for each barrel of oil. The oil must be separated from the water to be sent to the refineries, and this is currently achieved by bulky (and extremely expensive) gravitational separators. Cyclones are compact alternatives to separate the phases. However, the high shear stress caused in the oil droplets by the swirling flow inside the element cause their breakup, and may lead to emulsions; conditions that certainly impact the efficiency of the device. A control system is required to adjust the flow conditions inside the separator depending on the upstream conditions to avoid, or at least minimize, such effects. My project is to develop the control algorithm that maximizes the efficiency of an inline swirl separator. To achieve such a goal it is necessary (i) an understanding of the hydrodynamics of the process, and (ii) image the distribution of phases inside the equipment. This will be achieved together with the other (3) students involved in the project. More info about the project can be found in the TOMOCON.eu website. Matheus Martinez Garcia M.MartinezGarcia@tudelft.nl TU Delft / Transport Phenomena (TP) Faculty of Applied Sciences, Dept. of Chemical Engineering Van der Maasweg 9 2629 HZ Delft Office F2.090

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New LDE trainee in D&I office

Keehan Akbari has started since the beginning of September as a new LDE trainee in the Diversity and Inclusion office. What motivated him to work for the D&I office, what does he expect to achieve during this traineeship? Read the short interview below! What motivated you to pursue your LDE traineeship in Diversity and Inclusion office of the TU Delft? I completed both bachelor's and master's degrees in Cultural Anthropology and Development Sociology at Leiden University. Within these studies, my main area of interest was in themes of inclusion and diversity. After being hired as a trainee for the LDE traineeship, and discovering that one of the possible assignments belonged to the Diversity and Inclusion office, my choice was quickly made. I saw this as an excellent opportunity to put the theories I learned during my studies into practice. What specific skills or experiences do you bring to the D&I office that will help promote inclusivity on campus? I am someone who likes to connect rather than polarize, taking into account the importance of different perspectives and stakeholders. I believe that this is how one can achieve the most in fostering diversity and inclusion. You need to get multiple parties on board to get the best results. What are your main goals as you begin your role here, and how do you hope to make an impact? An important goal for me this year is to get students more involved in diversity and inclusion at the university. One way I will try to accomplish this is by contributing to the creation of D&I student teams. By establishing a D&I student team for faculties, it will be possible to deal with diversity- and inclusion-related issues that apply and relate to the specific department. How do you plan to engage with different (student) communities within the university? Since I am new to TU Delft, the first thing I need to do is expand my network here. Therefore, I am currently busy exploring the university and getting to know various stakeholders. Moreover, I intend to be in close contact with various student and study organizations to explore together how to strengthen cooperation on diversity and inclusion. Welcome to the team Keehan and we wish you lots of success with your traineeship!

Researchers from TU Delft and Cambridge University collaborate on innovative methods to combat Climate Change

For over a year and a half, researchers from TU Delft and the Cambridge University Centre for Climate Repair have worked together on groundbreaking techniques to increase the reflectivity of clouds in the fight against global warming. During a two-day meeting, the teams are discussing their progress. Researchers at Cambridge are focusing on the technical development of a system that can spray seawater, releasing tiny salt crystals into the atmosphere to brighten the clouds. The team from TU Delft, led by Prof. Dr. Ir. Herman Russchenberg, scientific director of the TU Delft Climate Action Program and professor of Atmospheric Remote Sensing, is studying the physical effects of this technique. Prof. Russchenberg emphasizes the importance of this research: "We have now taken the first steps towards developing emergency measures against climate change. If it proves necessary, we must be prepared to implement these techniques. Ideally, we wouldn't need to use them, but it's important to investigate how they work now." Prof. Dr. Ir. Stefan Aarninkhof, dean of the Faculty of Civil Engineering and Geosciences, expresses pride in the team as the first results of this unique collaboration are becoming visible. If the researchers in Delft and Cambridge can demonstrate the potential of the concept, the first small-scale experiments will responsibly begin within a year. This research has been made possible thanks to the long-term support from the Refreeze the Arctic Foundation, founded by family of TU Delft alumnus Marc Salzer Levi . Such generous contributions enable innovative and high-impact research that addresses urgent global challenges like climate change. Large donations like these enable the pursuit of innovative, high-impact research that may not otherwise be feasible, demonstrating how our collective effort and investment in science can lead to real, transformative solutions for global challenges like climate change. Climate-Action Programme

How system safety can make Machine Learning systems safer in the public sector

Machine Learning (ML), a form of AI where patterns are discovered in large amounts of data, can be very useful. It is increasingly used, for example, in chatbot Chat GPT, facial recognition, or speech software. However, there are also concerns about the use of ML systems in the public sector. How do you prevent the system from, for example, discriminating or making large-scale mistakes with negative effects on citizens? Scientists at TU Delft, including Jeroen Delfos, investigated how lessons from system safety can contribute to making ML systems safer in the public sector. “Policymakers are busy devising measures to counter the negative effects of ML. Our research shows that they can rely much more on existing concepts and theories that have already proven their value in other sectors,” says Jeroen Delfos. Jeroen Delfos Learning from other sectors In their research, the scientists used concepts from system safety and systems theory to describe the challenges of using ML systems in the public sector. Delfos: “Concepts and tools from the system safety literature are already widely used to support safety in sectors such as aviation, for example by analysing accidents with system safety methods. However, this is not yet common practice in the field of AI and ML. By applying a system-theoretical perspective, we view safety not only as a result of how the technology works, but as the result of a complex set of technical, social, and organisational factors.” The researchers interviewed professionals from the public sector to see which factors are recognized and which are still underexposed. Bias There is room for improvement to make ML systems in the public sector safer. For example, bias in data is still often seen as a technical problem, while the origin of that bias may lie far outside the technical system. Delfos: “Consider, for instance, the registration of crime. In neighbourhoods where the police patrol more frequently, logically, more crime is recorded, which leads to these areas being overrepresented in crime statistics. An ML system trained to discover patterns in these statistics will replicate or even reinforce this bias. However, the problem lies in the method of recording, not in the ML system itself.” Reducing risks According to the researchers, policymakers and civil servants involved in the development of ML systems would do well to incorporate system safety concepts. For example, it is advisable to identify in advance what kinds of accidents one wants to prevent when designing an ML system. Another lesson from system safety, for instance in aviation, is that systems tend to become more risky over time in practice, because safety becomes subordinate to efficiency as long as no accidents occur. “It is therefore important that safety remains a recurring topic in evaluations and that safety requirements are enforced,” says Delfos. Read the research paper .