Aaron Frank
OCCUPATION: University of Michigan Professor of Chemistry and Professor of Biophysics
ABOUT ME: I am originally from Grenada, a small island in the Caribbean. After moving to the US in 2001, I enrolled in the City University of New York and attended classes at the Brooklyn College campus, majoring in Chemistry. While at Brooklyn College, I worked in the groups of Professors Charlene Forest, Shaneen Singh, and Alexander Greer. These research experiences were the most important component of my undergraduate experience; because of them, I knew for sure that I wanted to attend graduate school. After finishing up my BA in Chemistry in 2006, I then moved to Michigan to attend graduate school at the University of Michigan to study biophysics. Then in 2008, my Ph.D. advisor Professor Ioan Andricioaei, moved to UC Irvine and so I followed him to sunny California. After a few months in California, I vowed never again to live in any place where it is consistently cold. I received my Ph.D. in chemistry in 2011. Somehow forgetting my promise always to stay warm, I returned to Ann Arbor and did a two year stint at Nymirum Inc. — a small biotech company in Ann Arbor founded by a close collaborator. I then returned to the University of Michigan as a Presidential Postdoctoral Fellow where I was mentored by Professor Charles L. Brooks, III. In 2016, I joined the University of Michigan faculty, and I am now an Assistant Professor at the University of Michigan in the Chemistry Department and the Biophysics Department.
ABOUT MY WORK: As a professor, I wear three hats (or a single tri-colored hat): I am a researcher, I am a teacher, and I am (or at least I attempt to be) a mentor to the aspiring young scientists in my research group. As a researcher, I get to, within reason, explore any basic science question that intrigues me, to the extent that I am qualified to make meaningful contributions to that area of research. As a teacher, I get see students discover new concepts and watch as they connect them concepts they already know. As a mentor, I have the privilege to observe the maturation–from novice to expert–of the students and postdocs in my research group.
Being a professor is unique in that the training I received prepared me to solve scientific problems, but not so much of about how to teach and mentor students. Much of the job has been come down to acquiring these skills on-the-fly, and indeed in many professions, just-in-time acquisition of needed skills is the norm.
My research group uses computers to answer questions that arise in structural biology and biophysics. Interestingly, our day-to-day activities mirror closely the day-to-day activities of a data-science group: we try to solve scientific problems by extracting patterns from experimental and simulated data. Therefore, to a casual observer, it may not seem like it, but our work is all about chemistry. The questions that motivate what we do is how the chemical properties of the monomers in biopolymers impact their physical properties. For example, what is the structure of these polymers and what are its dynamical properties (that is, how do they move in time). Most important, we want to know how do these properties give rise to biological function? In my research group, we primarily study a class of biopolymers called ribonucleic acids (RNA); the chemical sequence of RNA dictates its functional properties. For example, there are RNA that respond to changes in temperature or changes in the concentration of molecules and turn off or on genes in response to these changes. The fascinating thing is that changing the chemical identity of just a single monomer in RNA containing more than 100 individual monomers (for example) can obliterate the functional capacity of an RNA. As such, understanding the functioning of these molecules means rationalizing how chemistry at the level of a single monomer (called nucleotides in RNA) affects the properties of the entire polymer.
A typical day starts with breakfast with my son and wife. We then drop my son off at pre-school, and I get into the office around 9:00 pm. Once at the office, I begin my day by responding to unanswered emails from the previous night. I also check my calendar to remind myself about scheduled meeting for that day (and also to make sure I didn’t miss an earlier meeting!). If I lecture on that day, I typically spend 1-2 hours preparing for class. If not, I spend most of my day talking with my team about our research. Most of my interactions with my team center on troubleshooting issues that arise while working on our projects, and coming out with creative ideas to address specific technical and scientific challenges we invariably face. I also spend time serving on thesis committees and administrative committees within the Chemistry and Biophysics departments. My workday officially ends around 5 pm. After putting my son to bed, (around 7:00 pm, if we are lucky), I typically finish up uncompleted tasks from the day. If I don’t have anything specific to do, I usually spend about an hour on YouTube catching up on sports highlights and the latest political news. The toughest part of the day is trying to fall asleep: I get so excited about the research in our lab that I sometimes find it difficult just to sleep. Many of the new ideas I bring to the lab in the morning originates from thoughts I had while attempting to fall asleep!
The most challenging aspect of the jobs is juggling the three different aspects of my job—researcher, teacher, and mentor—simultaneously. Each on its own can be stress-inducing, combined, even more so. Particularly challenging is dealing with the anxiety associated getting funding. The exercise of coming up with research questions, designing creative solutions to address meaningful problems, and putting together a logical and coherent plan for a set of research projects is a rewarding experience. It is everything that comes after that can be stress-inducing: will the project be funded, did you reviewers hate my idea, will I be able to keep my research team together, what will I do if this idea is not supported, again?
The best thing about my job is the intellectual freedom to explore my ideas or the ideas of my group members. For the most part, we are in complete control of the what we do and how we do it. The questions we attempt to answer and the technical challenges we attempt solve must be well motivated and rooted in filling an existing gap in a particular research area, but given that we can frame the question in such a way that we can use your talents to address it then it is all fair game. For me, it is really like being a kid in a candy store.
ADVICE ABOUT ENTERING THE FIELD:
- For someone interested in working in my area I would say learn as much physics, mathematics, and computer science as is possible, and sprinkle in a bit of biochemistry and molecular biology.
- Specific technical skills that will enable someone to make an impact write away is: (1) Being comfortable working on the command line in a Unix-like environment. Without any formal coding experience, if some can use the computer from the command line, they can be productive in my line of research. (2) Similarly, learning basics scripting is important, this we allow one to automate tasks for setting up calculations and analyzing the output.
- One has to be passionate about answering questions through the design logical experiments (in our case, virtual experiments). One must also be willing to thoroughly investigate all possible explanations. You have to be excited by the details: how and why, exactly? One must also be independent-minded and intellectually courageous. That is, one must be willing to come with and try out new and well-reasoned ideas, on their own. With these qualities, you also have to have an analytical mind and a willingness and ability to acquire the technical skills needed to get the job done. Almost in every project we work on, we employ computational tools and techniques that are new to us.
- If you (absolutely) dislike searching for patterns in data and find it hard using computers, then this line of research is not for you. I say this cautiously though; we have many different kinds of people in our group all with their unique background and interests, and so there is not a single type.