Interview

Young PIs in action: Interview with Ángel Goñi Moreno


Despite the numerous career option a PhD graduate has, many of us aspire to stay in Academia and become independent researchers. It is a difficult path that comes with many challenges. We therefore decide to ask fresh Principal Investigators about their experience and their words of wisdom in this aspect. Our first interviewee is a former Steering Committee member, Ángel Goñi Moreno, who leads his research group at Newcastle University.


Kostas Vavitsas: How did you find the transition from a postdoc do a PI?

Ángel Goñi Moreno: It was not trivial transition. Being a PI is a totally different type of job, and I wasn’t trained for it (I guess nobody is). So all of a sudden I had new responsibilities, new activities to take care of. For instance, I had to write project proposals, recruit people or manage a team - tasks that I did for the first time. Although challenging, it was a very exciting time. Starting your own laboratory allows you to choose which scientific questions you will prioritise. Who wouldn’t like that? Establishing collaborations is also a part of the job that I’m enjoying a lot. Anyway, I was very independent during my postdocs, so this did feel like the natural next step.

Kostas: What was the biggest professional challenge you had to overcome? What is the importance of mentoring in your career?


Ángel: The most important professional challenge is to get the first grant in. I firstly applied to a ERC Starting Grant, which I didn’t get. I then applied to the EPSRC First Grant, and I was successful at that. At this point, I felt a lot more comfortable with what I was doing. I’ve never had a “mentor” as such, so I can’t tell. However, I’ve had very good advisors during my postdocs, so I tried to copy as much as I could. Also I asked for help whenever I needed it, which was indeed very useful. By asking for help you also find out who is actually willing to help and try to build on them during those first steps.


Kostas: Do you find synthetic biologists to be computer literate? How can we better integrate information technology in common synbio practice?

Ángel: Nobody can be an expert in all the (sub)fields within synbio. There are few computer scientists, if that is what you ask. And it is a pity, because the understanding of biology from an information science standpoint can in fact be fundamental to the field. We should definitely encourage computer scientist to join in. This is not only to provide the tools and methods needed to get the most of measurements and predictions (via models), but also to provide a novel conceptual framework for the engineering (programming?) of living systems. Coming back to your question, the best way is to just do it. For instance, if your laboratory is 100% experimental, bring some theoreticians on board.

Kostas: What is the one most important piece of advice you would give to an early career researcher in synthetic biology?

Ángel: Do not (always) follow the mainstream synbio research. Try to focus on the research questions you are confortable with and then bring them into the field. Not specific to synbio, but a general advice to early career researchers: be honest and open. Never pretend you know something you don’t. Never pretend your work is better than that of your colleagues. Always try to communicate your thoughts and plans to your peers. Share. Ask for help whenever you need it. It is important to remember that the people in your team work *with* you, not *for* you. By the same token, you don’t work *for* anyone (watch out!). Last, but not least, keep an eye on your life-work balance in order not to overcommit yourself. 

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Ángel Goñi Moreno is a Lecturer in Synthetic Biology at Newcastle University (UK); PI at the Interdisciplinary Computing and Complex Biosystems (ICOS) research group and Editor of the Synthetic Biology Open Language (SBOL). He was born in Madrid (Spain) on the 6th of August, 1983. In 2001 he started studying Computer Engineering at the Technical University of Madrid (UPM), Spain. After getting the degree he joined the Natural Computing Group at UPM and started researching in the fields of DNA Computing and Synthetic Biology. In 2010 he learned the first Ph.D. to be undertaken in Synthetic Biology at UPM. I also held a M. Sc. degree in Artificial Intelligence. After UPM he joined Martyn Amos’ group at Manchester Metropolitan University (UK) as a postdoc. When finished that position, in early 2013, he came back to Madrid to join the Victor de Lorenzo's lab which is part of the Systems Biology Program at CNB-CSIC (Centro Nacional de Biotecnología - National Center for Biotechnology). During the summer of 2016 he moved to Newcastle where he is at the moment.

3 Questions for Prof. Barbara Di Ventura

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In our most recent iteration of the ‘3 Questions For’ interview format, we speak with Prof. Barbara Di Ventura at the BIOSS Centre for Biological Signalling Studies at the University of Freiburg, Germany. Her group is pushing the boundaries of optogenetics and uses light-regulated methods to study cell division and chromosome segregation in bacteria. Herein, and in general, the Di Ventura lab has a strong focus on protein dynamics.

When and why did you move into the field of synthetic biology?

I would say 2002 is the year that marks my entry into the field of synthetic biology. After I graduated in Computer Engineering at the University of Rome “La Sapienza” I moved to Heidelberg to start my PhD at the EMBL in the group of Luis Serrano. At the beginning, the idea was for me to do only mathematical modeling of biological processes. After some months, however, Luis told me I should rather learn to do experiments on my own not to have to wait for others to give me data to model. That’s when I came into the field of synthetic biology, as the project I selected dealt with the transplantation of the p53-Mdm2 module into yeast to study its properties as an oscillator. I think that for someone like me who trained as an engineer, synthetic biology is the most natural way of entering into molecular biology. Eventually we are engineering cells instead of cars or buildings! And we do use computers a lot.


What is the single most important piece of advice that you would give to a current PhD student or a post-doc?

To those working in the field of synthetic biology I would say: take the chance to make the world a better place! To those not working in the field of synthetic biology I would say: what are you waiting for? Join synbio!!


In which areas do you see the main challenges and opportunities for synthetic biology?

The first area that comes into my mind is medicine. There is so much that synthetic biology can do here. The most intriguing to me is the transformation of the concept of treatment from “taking a drug” into “having a synthetic circuit monitor your state of health and react in case anything goes wrong”. Of course, the challenges are many since we need to break down the natural – and understandable – barrier of fear and skepticism that surrounds the idea of introducing something man-made (yet living!!) into our bodies. Moreover, we surely need to go down a long way to make sure that this method is safe and effective. Beyond medicine, synthetic biology can bring a revolution in so many other fields – energy, food production, environment, just to name a few.

3 Questions for Dr. Francesca Ceroni

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In our newest edition of the '3 Questions for' interview format, we spoke to Dr. Francesca Ceroni, located at the Department of Chemical Engineering of Imperial College London. As a Junior Research Fellow, she is making use of bacterial and mammalian synthetic biology to make a difference in bioproduction and biomedicine. Additionally, Dr. Ceroni is also active in the iGEM competition, both as a judge as well as a supervisor.

When and why did you move into the field of synthetic biology?

I had just graduated in Pharmaceutical Biotechnologies when I met a Professor in the Faculty of Engineering at the University of Bologna
that was looking for an advisor for the Bologna iGEM team.
Synthetic Biology sounded so interesting to me that I decided to give it a try; I was also happy to work with other students in an interdisciplinary environment.
That was it: Synthetic Biology just captured my interest and passion from that moment on and I continued in the field for my PhD, post doc and ... the present.

What is the single most important piece of advice that you would give to a current PhD student or a post-doc?

I would suggest to try to work with people you like, that show vision... choose very well the environment, the people, the once you want to deal with.
That will make a difference in your career.


In which areas do you see the main challenges and opportunities for synthetic biology?

I think there are many challenges, but the one I consider the most difficult to tackle is the complexity of biological systems that impacts on the reliable engineering we want to achieve. We have gone a long way into the understanding and characterisation of the systems we work with, but there is a lot to do and so much diversity to take into account as well.

3 Questions for Prof. Hyun Youk

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Our newest instalment of the "3 Questions for" interview series features Prof. Hyun Youk from Delft University of Technology in the Netherlands. His research makes use of quantitative methods as well as models and theory to understand the interactions between molecules and cells and discover common design principles. Here, he speaks about his transition from physics to biology and his view on the field of synthetic biology.

 

When and why did you move into the field of synthetic biology?

I never considered myself as a full-fledged synthetic biologist and I certainly haven't done any significant work in synthetic biology. But I have used and my group routinely uses tools of synthetic biology to modify and complement endogenous signalling pathways with engineered signalling circuits, with the goal of better understanding those endogenous pathways or what cells can do. On the other hand, my group doesn't build synthetic circuits to create logic gates, devices, desired dynamics, and practical applications. That’s why I hesitate to call myself a synthetic biologist in the conventional sense.

Instead, I can say when and why I moved into biology from physics.  At the core, I'm a physicist who’s been very interested in understanding how inanimate molecules - the same ones that make up many non-living systems - give rise to features that we associate with life in one scenario but not so in another scenario. This tells us that dynamics, not the molecular content, are what determines whether something is living or not and that we don’t really understand the principles that underlie these dynamics (keep in mind that even a dead cell can contain DNA so “ all living things contain DNA and non-living things don't” is not the answer). This question of what distinguishes the living from the non-living has stayed with me since 2006 when I started learning and doing biology. In 2006, I enrolled in MIT’s physics graduate program. As a beginning PhD student, my original intention was to join a cold-atomic physics group there. But I had a year of fellowship money to try other fields before formally committing to a lab. At first, I did an internship in a nanotechnology lab that studied how electrons moved through quantum dots. But that group’s PI let me go after a month - this is a gentrified way of saying “I was fired” -  because he thought that I wasn’t good and that I kept messing up a senior PhD student’s experiments. That was a low point for me because I had just started the PhD program and I had never been fired before. My options then were to just finish taking the required courses (in the American PhD programs, you had to take courses) and eventually join the atomic physics group after 9 months or try my hands at a different field.

In my daily commute to the nanotechnology lab, I passed by the biophysics lab of Alexander van Oudenaarden. I had no idea what he was working on, and I didn’t even understand the words in the title of his group's papers and posters that were posted outside his lab. My last course in biology was more than six years ago in high school, which was mostly about Mendelian genetics and ecology and almost nothing about molecular biology. At this point, as physics student, I also didn’t know what a pipette was, how RNA was different from DNA, and what the central dogma of molecular biology was. But what struck me about my morning commute through the hallway of Alexander’s group was how happy people seemed in his group. I routinely heard laughters coming out of the lab as I walked by. Before approaching Alexander for an unpaid internship, I first borrowed Alberts' book on molecular biology from a library. I found the book (and I still do) very difficult to read because biology textbooks were and still are written in styles that are very distinct from those of the physics and math textbooks that I was used to.  Even though I barely made through a page in any of the chapters in Alberts’ book, I found that I could pose for myself very simple questions about living systems while reading the book and that these questions, posed by someone without any biology background, were largely meaningful and still weren’t answered yet. That really hooked me on biology. So I asked Alexander for an internship and he generously gave me the chance. Since then I fell in love with biology, questions about life which could border on philosophy, and doing experiments with my own hands. I never looked back since then and I’m very grateful to Alexander to this day for giving me a chance and keeping me in his lab for the next 4 years.

Aside from the positive lab culture and the fact that I could pose “simple" questions, such as “how does a cell ’know’ this and not that", to which deep answers didn’t exist yet, the final clincher for me was the revelation that I could quantitatively address those simple questions about living systems with my own hands at the lab bench. Through my internship in Alexander’s lab, I found that I could resolve these questions about cells by designing “simple” experiments, doing them, and then having the results of those experiments tell me the next steps. I have found and still find this process to be similar to the process one uses in proving mathematical theorems through a series of logic, which I also enjoy doing, or how a detective would narrow down the list of suspects. I very much enjoy this hard-to-describe “funnelling” process that narrows down a complex biological system or a grand question about life into concrete conclusions. Aside from these grander points, I also found myself enjoying even the little things like pouring agarose gels, running PCR, aliquoting media, making master mixes, pasting gel pictures into my lab notebooks, etc.  In retrospect, I find that this aspect - enjoying even the seemingly little things in day-to-day bench activities - were indispensable for whatever success I’ve had in research.

So that’s my non-linear path to biology. I've revealed these details here to remind readers who are students that some small event - in my case, being fired from an internship - can literally have a life-changing consequence and that like in research, serendipity and seemingly devastating failures can actually lead to a very positive outcome in a scientist's career. I also think that my story is just one of many like it and that it shows one should not be afraid to enter a field that one knows nothing about. If you’re really fascinated by the question, then I say you should go for it.

 

What is the single most important piece of advice that you would give to a current PhD student or a post-doc?

My first advice is to take anyone’s advice, including mine, with a grain of salt. There’s no one shoe that fits everyone. With this caveat, my advice for PhD students is different from one that I’d give to postdocs.

If you’re a PhD student, keep in mind that your goal is to learn how to develop a story backed by data and then tell that story through writings and talks. In many countries, you have four years to develop and tell a story. Be very critical of your own work. Learning this is also an important part of a PhD. Once you know how to develop and tell a story, then you’ll find these are useful skills in any other field of science as well as outside of science (keeping in mind that you don’t have to stay in academia or in science after a PhD - leaving academia is not a “failure”). You can keep a text document and slides that you constantly update with new results. The idea is that the text will evolve into a manuscript and the slides evolve into slides for a talk that you can give to anyone about your work. When you first start a project, the text and slides will be empty, contain vague items, and a messy outline. But as you get new results, they will evolve. You’ll find that you’ll need to delete some paragraphs or slides because the story has changed. You’ll rearrange some slides because their order no longer makes sense according to the evolving story that you want to tell. The process of rearranging, deleting, and as a result, planning the next experiments is the process of learning how to do science. I think this is what every PhD training should be about.

If you're a postdoc who’s looking to run your group one day, I think you need to think about if there are questions that your own group will want to pursue that are unrelated to your current postdoc work while, at the same time, having the postdoc work being helpful in pursuing those questions (e.g., same organism with similar techniques). What you do in your own lab does not have to be a natural extension of your postdoc work. Don’t let a decision that you made years ago on where to do a postdoc dictate the next 10-20 years of your life. A luxury that we have in systems and synthetic biology, while not exclusive to these fields, is that we’re often driven by abstract concepts and are not tied to a particular pathway, mechanism, biological process, or an organism. So you can chart a course for your lab that really is distinct from what you did during your postdoc. But I think you can be strategic about doing this. For example, doing follow-up studies of your postdoc work may let you publish soon (1-3 years) after beginning your lab. In the meantime, you can explore a new area that really excites your group and if that new direction works out, then your lab can start publishing in that field after 4-5 years and start shifting into that new area, if you’d like. I think this strategy can let your group avoid the publication draught of the first few years that starting labs often experience while also having the time to develop a new line of research if that’s what you’d really like to do. On the other hand, there’s nothing wrong with more gradually extending your postdoc work and having that be the focus of your own lab. Again, no one shoe fits everyone. The most important thing is to dream big about what your lab will have contributed after 5- 10 years.

 

In which areas do you see the main challenges and opportunities for synthetic biology?

I think the biggest challenge for me is understanding biology well enough to build systems that mimic or extend natural systems. In my experience, no circuit that I or my group has built ever worked out the way that we thought that it would. These apparent “failures” yielded surprising findings and formed the bases of projects and publications in my PhD, postdoc, and now in my group. Think of how the repressilator led to, unsuspectingly, a vivid demonstration of noise in gene expression. That study helped in launching the burgeoning field of stochastic gene expression. For me, I think the challenges and opportunities are the same: Not understanding biological systems well enough and trying to perturb them has and will lead to discoveries about how cellular processes work, whether they be evolved or hand-made. I think this will be an ever-lasting challenge and opportunity that will outlive the technological limitations that we have now (e.g., cost-effectively writing DNA of an arbitrary length letter by letter and integrating it anywhere inside a cell of any type).

3 Questions for Prof. Sven Panke

This time the "3 Questions For" series features Prof. Sven Panke from ETH Zürich in Switzerland. Prof. Sven Panke currently holds a position as Professor at the Department of Biosystems Science and Engineering. His research focuses on the design of novel bioprocesses for the pharmaceutical and chemical industry.

 

When and why did you move into the field of synthetic biology?

I moved into Synthetic Biology in the early 2000s, when the topic was about to emerge in Europe. The engineering vision behind it displayed a very big attraction to me, even if it was clear from the very beginning that a simple transfer of engineering principles from classical engineering disciplines to biology would not work. However, the engineering narrative and the DNA synthesis methods seemed to promise a major improvement about earlier biological engineering methods. Another important factor was iGEM – a totally novel way of communicating a field to students and making them enthusiastic about it.

Since then, I stayed in Synthetic Biology because I think that it remains the most promising route to better strains in industrial biotechnology and in many neighboring fields, generating visionary projects that can capture the imagination of scientists from many different backgrounds.

 

What is the single most important piece of advice that you would give to a current PhD student or a post-doc?

Consider ignoring the advice of senior colleagues.

 

What do you think is presently the major limiting factor for progress in the field of synthetic biology?

I am not sure that I can name one factor that is more important than others. think that one major limiting factor is the time it takes to integrate of all the qualitative knowledge that we have accumulated over the years in computationally supported design platforms. We are making considerable advances there, but the process will, I fear, take another 10 years. I also think that we are becoming very good at certain aspects of synthetic biology, e.g. pathway optimization, but in the end this is only a certain aspect of the overall path from idea to real world impact – I think many projects still fail at an entirely different level, such as “this enzyme does not work in my chassis strain”, for whatever reason. And we should not forget that even if you have a good strain, you are still far away from having a good process. Finally, at some point we will return to the discussions that we had already once before, whether genetic engineering/synthetic biology is safe enough to be used outside contained facilities. The outcome of this discussion will have, I think, a strong impact on the future of synthetic biology outside of medicine.